Pub Date : 2024-03-28DOI: 10.1515/ijeeps-2023-0444
B. Deshmukh, Deepak Kumar Lal, S. Biswal, S. Salkuti
The inclusion of inverter-interfaced distributed generating sources (IIDGS) in the active distribution network offers operational and protection constraints. Dynamic fault behavior of these DGS results in changes like the radial distribution systems. Thus, conventional protection schemes fail to discriminate the in-zone and out-zone faults. Hence, this manuscript describes a new protection scheme based on current variation at the relay location used to discriminate the internal and external faults. This technique requires phasor information of the current signals of both ends and adjacent lines using micro phasor measurement units (µPMUs). Using the current phasor information two components named internal and external are computed at the relay location which is called differential amplitude variation index (DAVI), used to identify the internal and external faults. A modified two-feeder radial distribution network and modified IEEE-13 bus test systems are modeled using EMTDC/PSCAD to validate the proposed strategy. Numerous disturbance cases have been simulated and the feasibility and applicability attributes of the suggested method are verified from the results.
{"title":"A differential amplitude variation based pilot relaying scheme for microgrid integrated distribution system","authors":"B. Deshmukh, Deepak Kumar Lal, S. Biswal, S. Salkuti","doi":"10.1515/ijeeps-2023-0444","DOIUrl":"https://doi.org/10.1515/ijeeps-2023-0444","url":null,"abstract":"\u0000 The inclusion of inverter-interfaced distributed generating sources (IIDGS) in the active distribution network offers operational and protection constraints. Dynamic fault behavior of these DGS results in changes like the radial distribution systems. Thus, conventional protection schemes fail to discriminate the in-zone and out-zone faults. Hence, this manuscript describes a new protection scheme based on current variation at the relay location used to discriminate the internal and external faults. This technique requires phasor information of the current signals of both ends and adjacent lines using micro phasor measurement units (µPMUs). Using the current phasor information two components named internal and external are computed at the relay location which is called differential amplitude variation index (DAVI), used to identify the internal and external faults. A modified two-feeder radial distribution network and modified IEEE-13 bus test systems are modeled using EMTDC/PSCAD to validate the proposed strategy. Numerous disturbance cases have been simulated and the feasibility and applicability attributes of the suggested method are verified from the results.","PeriodicalId":45651,"journal":{"name":"International Journal of Emerging Electric Power Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140370885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-25DOI: 10.1515/ijeeps-2024-0003
Xiang Yin, Li Guan, Chaoqun Wu, Ying Zhang, Yuxin Tao
The purpose of this study is to propose a method based on three-dimensional laser scanning and frame difference technology to measure the inclination of transmission line towers, so as to realize accurate monitoring of transmission line structure. Firstly, the multi-scale Retinex algorithm is used to enhance and preprocess the transmission line tower image to improve the image quality. Secondly, the method of frame difference and background difference is combined to detect and identify the inclined tower. Finally, the point cloud data of inclined tower is obtained by using three-dimensional laser scanning technology, and the inclination of transmission line tower is calculated by coordinates. The experimental results show that this method has high accuracy and reliability, with an error of less than 0.15 × 10−5 and an inclination of less than 0.17°. It is proved that this method can improve the monitoring efficiency of transmission lines, has good effects in engineering practice, and can provide effective means for the safe operation of transmission line structures.
{"title":"Transmission line tower inclination measurement method based on three-dimensional laser scanning and inter frame difference","authors":"Xiang Yin, Li Guan, Chaoqun Wu, Ying Zhang, Yuxin Tao","doi":"10.1515/ijeeps-2024-0003","DOIUrl":"https://doi.org/10.1515/ijeeps-2024-0003","url":null,"abstract":"\u0000 The purpose of this study is to propose a method based on three-dimensional laser scanning and frame difference technology to measure the inclination of transmission line towers, so as to realize accurate monitoring of transmission line structure. Firstly, the multi-scale Retinex algorithm is used to enhance and preprocess the transmission line tower image to improve the image quality. Secondly, the method of frame difference and background difference is combined to detect and identify the inclined tower. Finally, the point cloud data of inclined tower is obtained by using three-dimensional laser scanning technology, and the inclination of transmission line tower is calculated by coordinates. The experimental results show that this method has high accuracy and reliability, with an error of less than 0.15 × 10−5 and an inclination of less than 0.17°. It is proved that this method can improve the monitoring efficiency of transmission lines, has good effects in engineering practice, and can provide effective means for the safe operation of transmission line structures.","PeriodicalId":45651,"journal":{"name":"International Journal of Emerging Electric Power Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140210088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-22DOI: 10.1515/ijeeps-2023-0221
Arush Singh, Atul J. Patil, Ramesh N. Sharma, R. K. Jarial
Fostering green sustainable transportation in the Indian food supply chain with the adoption of electric trucks (ETs) is seemingly a promising alternative. However, before widescale adoption, a thorough cost-benefit analysis is essential for making an apt decision towards transitioning to ETs. Utilizing data of 13 ETs, a total cost of ownership (TCO) model has been developed that outlines the economic benefits of ETs by evaluating the impact of factors like energy consumption, charging strategy, annual driven distances, route optimization, etc. With acquisition costs of ETs constituting 50–55 % of TCO the study outlines that ETs have significantly lower energy costs of 6–12 % (50–58 % for IC-engine trucks) and maintenance costs of 6–8% (13–18 % for IC-engine trucks), thereby reducing the overall TCO. Subsequently, a fleet-level analysis of ET adoption in a food supply chain comprising of four heavy-duty trucks and 16 medium-duty trucks has been performed with emphasis on assessment of supply chain-specific parameters like battery-mass penalty, level of utilization, etc. Overall, this study provides insight for fleet managers, policymakers and industry leaders to promote sustainable through an extended use of ET in the present scenario for the food supply chain.
{"title":"Assessing the cost-effectiveness of electric trucks in Indian food supply chains","authors":"Arush Singh, Atul J. Patil, Ramesh N. Sharma, R. K. Jarial","doi":"10.1515/ijeeps-2023-0221","DOIUrl":"https://doi.org/10.1515/ijeeps-2023-0221","url":null,"abstract":"\u0000 Fostering green sustainable transportation in the Indian food supply chain with the adoption of electric trucks (ETs) is seemingly a promising alternative. However, before widescale adoption, a thorough cost-benefit analysis is essential for making an apt decision towards transitioning to ETs. Utilizing data of 13 ETs, a total cost of ownership (TCO) model has been developed that outlines the economic benefits of ETs by evaluating the impact of factors like energy consumption, charging strategy, annual driven distances, route optimization, etc. With acquisition costs of ETs constituting 50–55 % of TCO the study outlines that ETs have significantly lower energy costs of 6–12 % (50–58 % for IC-engine trucks) and maintenance costs of 6–8% (13–18 % for IC-engine trucks), thereby reducing the overall TCO. Subsequently, a fleet-level analysis of ET adoption in a food supply chain comprising of four heavy-duty trucks and 16 medium-duty trucks has been performed with emphasis on assessment of supply chain-specific parameters like battery-mass penalty, level of utilization, etc. Overall, this study provides insight for fleet managers, policymakers and industry leaders to promote sustainable through an extended use of ET in the present scenario for the food supply chain.","PeriodicalId":45651,"journal":{"name":"International Journal of Emerging Electric Power Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140219093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-14DOI: 10.1515/ijeeps-2023-0200
Man Lu, Jianfei Sun
With the development of the economy, many regions have experienced a slowdown in economic growth. In order to promote the development of the electric vehicle (EV) industry, the country has also begun to introduce various policies to encourage the development of the EV industry. In this context, many local governments have begun to introduce policies and measures related to the development of the EV industry, such as increasing land use for the development of the EV industry and increasing support for the new energy automobile industry. These policy measures have played a positive role in promoting the development of the EV industry, but there are also some problems. For example, when many local governments introduce policies to support the development of the new energy automobile industry, their support for the EV industry is not significant. This article studied the collaborative optimization of the EV industry chain in response to issues such as insufficient technical strength, imbalanced supply-demand relationship, and insufficient downstream service chain capabilities in the EV industry chain. This article analyzed the composition of the EV industry chain and established an EV industry chain model to address these issues. This article used collaborative optimization algorithms to analyze the production volume of EVs in the EV industry chain, as well as the comprehensive efficiency, pure technical efficiency, and scale efficiency values of upstream, midstream, and downstream. Through experimental analysis, it was found that the comprehensive efficiency value of the upstream of the EV industry chain after using the collaborative optimization algorithm was 0.0792 higher than before. The research results of this article have provided reference significance for the analysis of collaborative optimization algorithms in other fields.
{"title":"Collaborative optimization algorithm for electric vehicle industry chain based on regional economic development needs","authors":"Man Lu, Jianfei Sun","doi":"10.1515/ijeeps-2023-0200","DOIUrl":"https://doi.org/10.1515/ijeeps-2023-0200","url":null,"abstract":"\u0000 With the development of the economy, many regions have experienced a slowdown in economic growth. In order to promote the development of the electric vehicle (EV) industry, the country has also begun to introduce various policies to encourage the development of the EV industry. In this context, many local governments have begun to introduce policies and measures related to the development of the EV industry, such as increasing land use for the development of the EV industry and increasing support for the new energy automobile industry. These policy measures have played a positive role in promoting the development of the EV industry, but there are also some problems. For example, when many local governments introduce policies to support the development of the new energy automobile industry, their support for the EV industry is not significant. This article studied the collaborative optimization of the EV industry chain in response to issues such as insufficient technical strength, imbalanced supply-demand relationship, and insufficient downstream service chain capabilities in the EV industry chain. This article analyzed the composition of the EV industry chain and established an EV industry chain model to address these issues. This article used collaborative optimization algorithms to analyze the production volume of EVs in the EV industry chain, as well as the comprehensive efficiency, pure technical efficiency, and scale efficiency values of upstream, midstream, and downstream. Through experimental analysis, it was found that the comprehensive efficiency value of the upstream of the EV industry chain after using the collaborative optimization algorithm was 0.0792 higher than before. The research results of this article have provided reference significance for the analysis of collaborative optimization algorithms in other fields.","PeriodicalId":45651,"journal":{"name":"International Journal of Emerging Electric Power Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140242024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Against the backdrop of China’s implementation of the “dual carbon” target and carbon emissions trading policies, renewable energy generation technologies have matured and received support from related policies. Distributed power sources have played a crucial role in the power system, and aggregators have integrated a large number of distributed power sources with diverse characteristics, shielding the complex characteristics of the underlying distributed power sources from grid scheduling. This article introduces the revenue optimization of low-carbon integration to optimize the aggregator’s scheduling model, designs distributed renewable energy generation units, and studies the solution strategy based on quantum genetic algorithms for large-scale optimization scheduling problems. The aggregator’s optimization variables divide the entire optimization problem and consider low-carbon integration to achieve distributed management of green energy parks, providing a feasible theoretical framework for the further development of distributed power sources. It has important practical significance in energy conservation, emissions reduction, and ecological environmental protection.
{"title":"Distributed generation aggregators considering low-carbon credits optimize dispatch strategies","authors":"Ruohan Wang, Hongwei Xing, Yunlong Chen, Jianhui Zhang, Entang Li, Jing Li","doi":"10.1515/ijeeps-2023-0147","DOIUrl":"https://doi.org/10.1515/ijeeps-2023-0147","url":null,"abstract":"\u0000 Against the backdrop of China’s implementation of the “dual carbon” target and carbon emissions trading policies, renewable energy generation technologies have matured and received support from related policies. Distributed power sources have played a crucial role in the power system, and aggregators have integrated a large number of distributed power sources with diverse characteristics, shielding the complex characteristics of the underlying distributed power sources from grid scheduling. This article introduces the revenue optimization of low-carbon integration to optimize the aggregator’s scheduling model, designs distributed renewable energy generation units, and studies the solution strategy based on quantum genetic algorithms for large-scale optimization scheduling problems. The aggregator’s optimization variables divide the entire optimization problem and consider low-carbon integration to achieve distributed management of green energy parks, providing a feasible theoretical framework for the further development of distributed power sources. It has important practical significance in energy conservation, emissions reduction, and ecological environmental protection.","PeriodicalId":45651,"journal":{"name":"International Journal of Emerging Electric Power Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140261104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-09DOI: 10.1515/ijeeps-2023-0267
Sanchita Baral, G. Xydis
Ancillary services play a significant role in ensuring stable operation of power systems in the growing penetration of renewable energy. Some of the important functions for ancillary support include voltage support, frequency support, and system restoration. This work highlights the possibility of relevant ancillary support from wind power and investigates how such services will impact from an economic point of view. A crucial aspect of ancillary services from wind power relates to tailored and dynamic information about the conditional power production from the turbines and wind parks which could be obtained through accurate wind power forecasting. The study of the impact of forecast accuracy and correlation in errors on the possibility for wind power to provide ancillary services is analyzed. Furthermore, the limitations and challenges associated with the technical capabilities of wind turbines to support such services are reviewed and presented. An initial qualitative assessment of the value of providing such services is carried out and the capabilities combined with electricity market data from Nord Pool taking an example of the western region of Denmark is discussed. The result of this work shows that enhancing ancillary services from wind power combined with more accurate wind forecasting has a positive financial impact on wind power market.
在可再生能源日益普及的情况下，辅助服务在确保电力系统稳定运行方面发挥着重要作用。辅助支持的一些重要功能包括电压支持、频率支持和系统恢复。这项工作强调了风力发电提供相关辅助支持的可能性，并从经济角度研究了这些服务将产生怎样的影响。风力发电辅助服务的一个重要方面与涡轮机和风场有条件发电的定制动态信息有关，这些信息可通过准确的风力发电预测获得。研究分析了预测精度和误差相关性对风力发电提供辅助服务可能性的影响。此外，还回顾并介绍了与风力涡轮机支持此类服务的技术能力相关的限制和挑战。以丹麦西部地区为例，对提供此类服务的价值进行了初步定性评估，并结合 Nord Pool 的电力市场数据对其能力进行了讨论。这项工作的结果表明，加强风力发电的辅助服务与更准确的风力预测相结合，会对风力发电市场产生积极的财务影响。
{"title":"Unleashing the economic potential of wind power for ancillary services","authors":"Sanchita Baral, G. Xydis","doi":"10.1515/ijeeps-2023-0267","DOIUrl":"https://doi.org/10.1515/ijeeps-2023-0267","url":null,"abstract":"\u0000 Ancillary services play a significant role in ensuring stable operation of power systems in the growing penetration of renewable energy. Some of the important functions for ancillary support include voltage support, frequency support, and system restoration. This work highlights the possibility of relevant ancillary support from wind power and investigates how such services will impact from an economic point of view. A crucial aspect of ancillary services from wind power relates to tailored and dynamic information about the conditional power production from the turbines and wind parks which could be obtained through accurate wind power forecasting. The study of the impact of forecast accuracy and correlation in errors on the possibility for wind power to provide ancillary services is analyzed. Furthermore, the limitations and challenges associated with the technical capabilities of wind turbines to support such services are reviewed and presented. An initial qualitative assessment of the value of providing such services is carried out and the capabilities combined with electricity market data from Nord Pool taking an example of the western region of Denmark is discussed. The result of this work shows that enhancing ancillary services from wind power combined with more accurate wind forecasting has a positive financial impact on wind power market.","PeriodicalId":45651,"journal":{"name":"International Journal of Emerging Electric Power Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139850484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-09DOI: 10.1515/ijeeps-2023-0267
Sanchita Baral, G. Xydis
Ancillary services play a significant role in ensuring stable operation of power systems in the growing penetration of renewable energy. Some of the important functions for ancillary support include voltage support, frequency support, and system restoration. This work highlights the possibility of relevant ancillary support from wind power and investigates how such services will impact from an economic point of view. A crucial aspect of ancillary services from wind power relates to tailored and dynamic information about the conditional power production from the turbines and wind parks which could be obtained through accurate wind power forecasting. The study of the impact of forecast accuracy and correlation in errors on the possibility for wind power to provide ancillary services is analyzed. Furthermore, the limitations and challenges associated with the technical capabilities of wind turbines to support such services are reviewed and presented. An initial qualitative assessment of the value of providing such services is carried out and the capabilities combined with electricity market data from Nord Pool taking an example of the western region of Denmark is discussed. The result of this work shows that enhancing ancillary services from wind power combined with more accurate wind forecasting has a positive financial impact on wind power market.
在可再生能源日益普及的情况下，辅助服务在确保电力系统稳定运行方面发挥着重要作用。辅助支持的一些重要功能包括电压支持、频率支持和系统恢复。这项工作强调了风力发电提供相关辅助支持的可能性，并从经济角度研究了这些服务将产生怎样的影响。风力发电辅助服务的一个重要方面与涡轮机和风场有条件发电的定制动态信息有关，这些信息可通过准确的风力发电预测获得。研究分析了预测精度和误差相关性对风力发电提供辅助服务可能性的影响。此外，还回顾并介绍了与风力涡轮机支持此类服务的技术能力相关的限制和挑战。以丹麦西部地区为例，对提供此类服务的价值进行了初步定性评估，并结合 Nord Pool 的电力市场数据对其能力进行了讨论。这项工作的结果表明，加强风力发电的辅助服务与更准确的风力预测相结合，会对风力发电市场产生积极的财务影响。
{"title":"Unleashing the economic potential of wind power for ancillary services","authors":"Sanchita Baral, G. Xydis","doi":"10.1515/ijeeps-2023-0267","DOIUrl":"https://doi.org/10.1515/ijeeps-2023-0267","url":null,"abstract":"\u0000 Ancillary services play a significant role in ensuring stable operation of power systems in the growing penetration of renewable energy. Some of the important functions for ancillary support include voltage support, frequency support, and system restoration. This work highlights the possibility of relevant ancillary support from wind power and investigates how such services will impact from an economic point of view. A crucial aspect of ancillary services from wind power relates to tailored and dynamic information about the conditional power production from the turbines and wind parks which could be obtained through accurate wind power forecasting. The study of the impact of forecast accuracy and correlation in errors on the possibility for wind power to provide ancillary services is analyzed. Furthermore, the limitations and challenges associated with the technical capabilities of wind turbines to support such services are reviewed and presented. An initial qualitative assessment of the value of providing such services is carried out and the capabilities combined with electricity market data from Nord Pool taking an example of the western region of Denmark is discussed. The result of this work shows that enhancing ancillary services from wind power combined with more accurate wind forecasting has a positive financial impact on wind power market.","PeriodicalId":45651,"journal":{"name":"International Journal of Emerging Electric Power Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139790627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-02DOI: 10.1515/ijeeps-2023-0316
Anupam Mittal, Kanwardeep Singh
This paper presents the impact of transmission congestion and demand side management on Electricity Producers’ market power using the quantitative investigation of pool-based market clearing mechanism. The mathematical problem formulation for pool-based market clearing consists of maximization of social welfare objective function, which incorporates maximization of demand benefit obtained from flexible demand bids and minimization of Electricity Producers’ real and reactive power costs obtained from actual and strategic supply bids. In this problem formulation, the nonlinear modeling of power system is used for real and reactive power flow equality constraints, transmission line capability inequality constraints (for incorporating the impact of transmission congestion), and generator capability curve equality constraints. The impacts of demand side management have been incorporated in the problem by considering single-period and multi-period demand flexibilities, and distributed generation placement at appropriate locations. The formulated optimization problem has been solved using nonlinear programming, which provides the nodal prices as byproducts of the solution. The electricity producers’ capability to exercise market power has been analyzed from their revenue and surplus indices, which have been obtained from nodal prices. Various case studies have been simulated on IEEE 30-bus system for quantitative determination of electricity producers’ market power. The results obtained are very interesting and demonstrate demand side strategies to tackle the electricity producers’ market power with actual and strategic bidding under normal and congested system conditions.
{"title":"Quantitative impact assessment of transmission congestion and demand side management on electricity producers’ market power","authors":"Anupam Mittal, Kanwardeep Singh","doi":"10.1515/ijeeps-2023-0316","DOIUrl":"https://doi.org/10.1515/ijeeps-2023-0316","url":null,"abstract":"\u0000 This paper presents the impact of transmission congestion and demand side management on Electricity Producers’ market power using the quantitative investigation of pool-based market clearing mechanism. The mathematical problem formulation for pool-based market clearing consists of maximization of social welfare objective function, which incorporates maximization of demand benefit obtained from flexible demand bids and minimization of Electricity Producers’ real and reactive power costs obtained from actual and strategic supply bids. In this problem formulation, the nonlinear modeling of power system is used for real and reactive power flow equality constraints, transmission line capability inequality constraints (for incorporating the impact of transmission congestion), and generator capability curve equality constraints. The impacts of demand side management have been incorporated in the problem by considering single-period and multi-period demand flexibilities, and distributed generation placement at appropriate locations. The formulated optimization problem has been solved using nonlinear programming, which provides the nodal prices as byproducts of the solution. The electricity producers’ capability to exercise market power has been analyzed from their revenue and surplus indices, which have been obtained from nodal prices. Various case studies have been simulated on IEEE 30-bus system for quantitative determination of electricity producers’ market power. The results obtained are very interesting and demonstrate demand side strategies to tackle the electricity producers’ market power with actual and strategic bidding under normal and congested system conditions.","PeriodicalId":45651,"journal":{"name":"International Journal of Emerging Electric Power Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139811473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-02DOI: 10.1515/ijeeps-2023-0320
Hongyu Li, Xingyuan Guo, Junwei Li
AC–DC hybrid microgrid consists of a variety of energy resources, different types of loads and storage devices, and involves the interconnection between AC and DC power grids. This leads to increased complexity in system design and coordination control, which needs to take into account the interactions and coordination between individual components. Considering the demand response, the power coordination control method of AC/DC hybrid microgrid is studied, which can effectively adjust the power of microgrid in different operation modes and ensure its smooth operation. Combined with the topology of AC/DC hybrid microgrid and its bidirectional converter, the constraints such as AC-side load demand response and AC/DC-side power balance are set on the premise of considering demand response. Under such constraints, the microgrid is divided into two modes: sub-network independent operation and inter-network power exchange. Corresponding control sections are designed for the two modes. On the premise of the set constraints, the microgrid power in each mode is coordinated by coordinating the control methods of the converters. The results show that this method can respond to several mode switches of AC/DC hybrid microgrid in time and effectively coordinate and control the power during the switching process under the constraint conditions such as load demand response. In addition, in the single mode of inter-network power exchange, this method can also quickly respond to the load demand, effectively adjust the exchange power between AC and DC subnets of microgrid, realize the reasonable distribution of power, and make the hybrid microgrid run stably in different modes. During the 8 s to 10 s phase of the experiment, the load power of the DC subnetwork of the experimental microgrid did not change, while the load power of the AC subnetwork increased to 36 kW, the reference power and converter power remained unchanged, and the microgrid voltage remained stable.
交直流混合微电网由多种能源、不同类型的负载和存储设备组成，并涉及交直流电网之间的互联。这就增加了系统设计和协调控制的复杂性，需要考虑各个组成部分之间的相互作用和协调。考虑到需求响应，研究了交直流混合微电网的功率协调控制方法，可有效调节微电网在不同运行模式下的功率，确保其平稳运行。结合交直流混合微电网的拓扑结构及其双向变流器，在考虑需求响应的前提下，设置了交流侧负荷需求响应、交直流侧功率平衡等约束条件。在这种约束条件下，微电网被分为两种模式：子网独立运行和网间电力交换。针对这两种模式设计了相应的控制部分。在设定约束条件的前提下，通过协调变流器的控制方法来协调每种模式下的微电网功率。结果表明，该方法能及时响应交直流混合微电网的多个模式切换，并在负荷需求响应等约束条件下有效协调和控制切换过程中的功率。此外，在单一网间功率交换模式下，该方法也能快速响应负荷需求，有效调节微电网交直流子网间的交换功率，实现功率的合理分配，使混合微电网在不同模式下稳定运行。在实验的 8 s 至 10 s 阶段，实验微电网直流子网的负荷功率没有变化，而交流子网的负荷功率增加到 36 kW，参考功率和换流器功率保持不变，微电网电压保持稳定。
{"title":"Power coordination control method for AC/DC hybrid microgrid considering demand response","authors":"Hongyu Li, Xingyuan Guo, Junwei Li","doi":"10.1515/ijeeps-2023-0320","DOIUrl":"https://doi.org/10.1515/ijeeps-2023-0320","url":null,"abstract":"\u0000 AC–DC hybrid microgrid consists of a variety of energy resources, different types of loads and storage devices, and involves the interconnection between AC and DC power grids. This leads to increased complexity in system design and coordination control, which needs to take into account the interactions and coordination between individual components. Considering the demand response, the power coordination control method of AC/DC hybrid microgrid is studied, which can effectively adjust the power of microgrid in different operation modes and ensure its smooth operation. Combined with the topology of AC/DC hybrid microgrid and its bidirectional converter, the constraints such as AC-side load demand response and AC/DC-side power balance are set on the premise of considering demand response. Under such constraints, the microgrid is divided into two modes: sub-network independent operation and inter-network power exchange. Corresponding control sections are designed for the two modes. On the premise of the set constraints, the microgrid power in each mode is coordinated by coordinating the control methods of the converters. The results show that this method can respond to several mode switches of AC/DC hybrid microgrid in time and effectively coordinate and control the power during the switching process under the constraint conditions such as load demand response. In addition, in the single mode of inter-network power exchange, this method can also quickly respond to the load demand, effectively adjust the exchange power between AC and DC subnets of microgrid, realize the reasonable distribution of power, and make the hybrid microgrid run stably in different modes. During the 8 s to 10 s phase of the experiment, the load power of the DC subnetwork of the experimental microgrid did not change, while the load power of the AC subnetwork increased to 36 kW, the reference power and converter power remained unchanged, and the microgrid voltage remained stable.","PeriodicalId":45651,"journal":{"name":"International Journal of Emerging Electric Power Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139870191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-02DOI: 10.1515/ijeeps-2023-0320
Hongyu Li, Xingyuan Guo, Junwei Li
AC–DC hybrid microgrid consists of a variety of energy resources, different types of loads and storage devices, and involves the interconnection between AC and DC power grids. This leads to increased complexity in system design and coordination control, which needs to take into account the interactions and coordination between individual components. Considering the demand response, the power coordination control method of AC/DC hybrid microgrid is studied, which can effectively adjust the power of microgrid in different operation modes and ensure its smooth operation. Combined with the topology of AC/DC hybrid microgrid and its bidirectional converter, the constraints such as AC-side load demand response and AC/DC-side power balance are set on the premise of considering demand response. Under such constraints, the microgrid is divided into two modes: sub-network independent operation and inter-network power exchange. Corresponding control sections are designed for the two modes. On the premise of the set constraints, the microgrid power in each mode is coordinated by coordinating the control methods of the converters. The results show that this method can respond to several mode switches of AC/DC hybrid microgrid in time and effectively coordinate and control the power during the switching process under the constraint conditions such as load demand response. In addition, in the single mode of inter-network power exchange, this method can also quickly respond to the load demand, effectively adjust the exchange power between AC and DC subnets of microgrid, realize the reasonable distribution of power, and make the hybrid microgrid run stably in different modes. During the 8 s to 10 s phase of the experiment, the load power of the DC subnetwork of the experimental microgrid did not change, while the load power of the AC subnetwork increased to 36 kW, the reference power and converter power remained unchanged, and the microgrid voltage remained stable.
交直流混合微电网由多种能源、不同类型的负载和存储设备组成，并涉及交直流电网之间的互联。这就增加了系统设计和协调控制的复杂性，需要考虑各个组成部分之间的相互作用和协调。考虑到需求响应，研究了交直流混合微电网的功率协调控制方法，可有效调节微电网在不同运行模式下的功率，确保其平稳运行。结合交直流混合微电网的拓扑结构及其双向变流器，在考虑需求响应的前提下，设置了交流侧负荷需求响应、交直流侧功率平衡等约束条件。在这种约束条件下，微电网被分为两种模式：子网独立运行和网间电力交换。针对这两种模式设计了相应的控制部分。在设定约束条件的前提下，通过协调变流器的控制方法来协调每种模式下的微电网功率。结果表明，该方法能及时响应交直流混合微电网的多个模式切换，并在负荷需求响应等约束条件下有效协调和控制切换过程中的功率。此外，在单一网间功率交换模式下，该方法也能快速响应负荷需求，有效调节微电网交直流子网间的交换功率，实现功率的合理分配，使混合微电网在不同模式下稳定运行。在实验的 8 s 至 10 s 阶段，实验微电网直流子网的负荷功率没有变化，而交流子网的负荷功率增加到 36 kW，参考功率和换流器功率保持不变，微电网电压保持稳定。
{"title":"Power coordination control method for AC/DC hybrid microgrid considering demand response","authors":"Hongyu Li, Xingyuan Guo, Junwei Li","doi":"10.1515/ijeeps-2023-0320","DOIUrl":"https://doi.org/10.1515/ijeeps-2023-0320","url":null,"abstract":"\u0000 AC–DC hybrid microgrid consists of a variety of energy resources, different types of loads and storage devices, and involves the interconnection between AC and DC power grids. This leads to increased complexity in system design and coordination control, which needs to take into account the interactions and coordination between individual components. Considering the demand response, the power coordination control method of AC/DC hybrid microgrid is studied, which can effectively adjust the power of microgrid in different operation modes and ensure its smooth operation. Combined with the topology of AC/DC hybrid microgrid and its bidirectional converter, the constraints such as AC-side load demand response and AC/DC-side power balance are set on the premise of considering demand response. Under such constraints, the microgrid is divided into two modes: sub-network independent operation and inter-network power exchange. Corresponding control sections are designed for the two modes. On the premise of the set constraints, the microgrid power in each mode is coordinated by coordinating the control methods of the converters. The results show that this method can respond to several mode switches of AC/DC hybrid microgrid in time and effectively coordinate and control the power during the switching process under the constraint conditions such as load demand response. In addition, in the single mode of inter-network power exchange, this method can also quickly respond to the load demand, effectively adjust the exchange power between AC and DC subnets of microgrid, realize the reasonable distribution of power, and make the hybrid microgrid run stably in different modes. During the 8 s to 10 s phase of the experiment, the load power of the DC subnetwork of the experimental microgrid did not change, while the load power of the AC subnetwork increased to 36 kW, the reference power and converter power remained unchanged, and the microgrid voltage remained stable.","PeriodicalId":45651,"journal":{"name":"International Journal of Emerging Electric Power Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139810448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：