Pub Date : 2024-02-14DOI: 10.17775/CSEEJPES.2024.00190
Yalun Li;Minggao Ouyang;C. C. Chan;Xueliang Sun;Yonghua Song;Wei Cai;Yilin Xie;Yuqiong Mao
The energy revolution requires coordination in energy consumption, supply, storage and institutional systems. Renewable energy generation technologies, along with their associated costs, are already fully equipped for large-scale promotion. However, energy storage remains a bottleneck, and solutions are needed through the use of electric vehicles, which traditionally play the role of energy consumption in power systems. To clarify the key technologies and institutions that support EVs as terminals for energy use, storage, and feedback, the CSEE JPES forum assembled renowned experts and scholars in relevant fields to deliver keynote reports and engage in discussions on topics such as vehicle-grid integration technology, advanced solid-state battery technology, high-performance electric motor technology, and institutional innovation in the industry chain. These experts also provided prospects for energy storage and utilization technologies capable of decarbonizing new power systems.
{"title":"Key Technologies and Prospects for Electric Vehicles Within Emerging Power Systems: Insights from Five Aspects","authors":"Yalun Li;Minggao Ouyang;C. C. Chan;Xueliang Sun;Yonghua Song;Wei Cai;Yilin Xie;Yuqiong Mao","doi":"10.17775/CSEEJPES.2024.00190","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2024.00190","url":null,"abstract":"The energy revolution requires coordination in energy consumption, supply, storage and institutional systems. Renewable energy generation technologies, along with their associated costs, are already fully equipped for large-scale promotion. However, energy storage remains a bottleneck, and solutions are needed through the use of electric vehicles, which traditionally play the role of energy consumption in power systems. To clarify the key technologies and institutions that support EVs as terminals for energy use, storage, and feedback, the CSEE JPES forum assembled renowned experts and scholars in relevant fields to deliver keynote reports and engage in discussions on topics such as vehicle-grid integration technology, advanced solid-state battery technology, high-performance electric motor technology, and institutional innovation in the industry chain. These experts also provided prospects for energy storage and utilization technologies capable of decarbonizing new power systems.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 2","pages":"439-447"},"PeriodicalIF":7.1,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436621","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-14DOI: 10.17775/CSEEJPES.2023.03370
Ye Tian;Zhengshuo Li;Wenchuan Wu;Miao Fan
The issues of uncertainty and frequency security become significantly serious in power systems with the high penetration of volatile inverter-based renewables (IBRs), which makes it necessary to consider the uncertainty and frequency-related constraints in the economic dispatch (ED) programs. However, existing ED studies rarely proactively optimize the control parameters of inverter-based resources related to fast regulation (e.g., virtual inertia and droop coefficients) in co-operation with other dispatchable resources to improve the system frequency security and dispatch reliability. This paper proposes a joint chance-constrained economic dispatch model that jointly optimizes the frequency-related inverter control, the system up/down reserves, and base-point power for the minimal total operational cost. In the proposed model, multiple dispatchable resources, including thermal units, dispatchable IBRs, and energy storage, are considered, and the (virtual) inertias, the regulation reserve allocations, and base-point power are coordinated. To ensure the system reliability, the joint chance-constraint formulation is also adopted. Additionally, since the traditional sample average approximation (SAA) method imposes a huge computational burden, a novel mix-SAA (MSAA) method is proposed to transform the original intractable model into a linear model that can be efficiently solved via commercial solvers. The case studies validate the satisfactory efficacy of the proposed ED model and demonstrate that the MSAA can save nearly 90% calculation time compared with the traditional SAA.
{"title":"Joint Chance-Constrained Economic Dispatch Involving Joint Optimization of Frequency-Related Inverter Control and Regulation Reserve Allocation","authors":"Ye Tian;Zhengshuo Li;Wenchuan Wu;Miao Fan","doi":"10.17775/CSEEJPES.2023.03370","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.03370","url":null,"abstract":"The issues of uncertainty and frequency security become significantly serious in power systems with the high penetration of volatile inverter-based renewables (IBRs), which makes it necessary to consider the uncertainty and frequency-related constraints in the economic dispatch (ED) programs. However, existing ED studies rarely proactively optimize the control parameters of inverter-based resources related to fast regulation (e.g., virtual inertia and droop coefficients) in co-operation with other dispatchable resources to improve the system frequency security and dispatch reliability. This paper proposes a joint chance-constrained economic dispatch model that jointly optimizes the frequency-related inverter control, the system up/down reserves, and base-point power for the minimal total operational cost. In the proposed model, multiple dispatchable resources, including thermal units, dispatchable IBRs, and energy storage, are considered, and the (virtual) inertias, the regulation reserve allocations, and base-point power are coordinated. To ensure the system reliability, the joint chance-constraint formulation is also adopted. Additionally, since the traditional sample average approximation (SAA) method imposes a huge computational burden, a novel mix-SAA (MSAA) method is proposed to transform the original intractable model into a linear model that can be efficiently solved via commercial solvers. The case studies validate the satisfactory efficacy of the proposed ED model and demonstrate that the MSAA can save nearly 90% calculation time compared with the traditional SAA.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 3","pages":"1030-1044"},"PeriodicalIF":6.9,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436595","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The presence of renewable energy resources in LV distribution networks may lead to a distribution transformer, also known as a Smart Transformer (ST), experiencing the bidirectional power flow. Therefore, the ST must have the capability to operate in both directions. However, the reverse power is less as compared to the forward power, thus the design of ST with the same capacity in both directions increases the hardware cost and decreases the system efficiency. This paper proposes a Hybrid-modular-ST (H-ST), composed of a mixed use of single active bridge-based series resonant converter and dual active bridge instead of complete use of uni-or bi-directional converter adopted in the conventional solid-state-transformer. Based on the proposed H-ST, the impacts of power imbalance among cascaded modules in reverse operation mode are analyzed and then an effective solution based on reactive power compensation combined with the characteristics of the proposed architecture is adopted. The simulation and experimental results clearly validate the effectiveness and feasibility of the theoretical analyses.
低压配电网络中可再生能源的存在可能会导致配电变压器（也称为智能变压器（ST））出现双向电力流动。因此，智能变压器必须具备双向运行的能力。然而，与正向功率相比，反向功率较小，因此设计双向容量相同的 ST 会增加硬件成本并降低系统效率。本文提出了一种混合模块化 ST（H-ST），由基于单有源桥的串联谐振转换器和双有源桥混合使用组成，而不是完全使用传统固态变压器中采用的单向或双向转换器。基于所提出的 H-ST 架构，分析了反向运行模式下级联模块间功率不平衡的影响，并结合所提出的架构特点，提出了基于无功功率补偿的有效解决方案。仿真和实验结果清楚地验证了理论分析的有效性和可行性。
{"title":"Hybrid Modular Smart Transformer for Asymmetrically Bidirectional Power Flow Operation","authors":"Kangan Wang;Youngjong Ko;Rongwu Zhu;Siyu Wu;Weimin Wu;Marco Liserre","doi":"10.17775/CSEEJPES.2022.05650","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.05650","url":null,"abstract":"The presence of renewable energy resources in LV distribution networks may lead to a distribution transformer, also known as a Smart Transformer (ST), experiencing the bidirectional power flow. Therefore, the ST must have the capability to operate in both directions. However, the reverse power is less as compared to the forward power, thus the design of ST with the same capacity in both directions increases the hardware cost and decreases the system efficiency. This paper proposes a Hybrid-modular-ST (H-ST), composed of a mixed use of single active bridge-based series resonant converter and dual active bridge instead of complete use of uni-or bi-directional converter adopted in the conventional solid-state-transformer. Based on the proposed H-ST, the impacts of power imbalance among cascaded modules in reverse operation mode are analyzed and then an effective solution based on reactive power compensation combined with the characteristics of the proposed architecture is adopted. The simulation and experimental results clearly validate the effectiveness and feasibility of the theoretical analyses.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 4","pages":"1384-1398"},"PeriodicalIF":6.9,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436625","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141966184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The massive integration of communication and information technology with the large-scale power grid has enhanced the efficiency, safety, and economical operation of cyber-physical systems. However, the open and diversified communication environment of the smart grid is exposed to cyber-attacks. Data integrity attacks that can bypass conventional security techniques have been considered critical threats to the operation of the grid. Current detection techniques cannot learn the dynamic and heterogeneous characteristics of the smart grid and are unable to deal with non-euclidean data types. To address the issue, we propose a novel Deep-Q-Network scheme empowered with a graph convolutional network (GCN) framework to detect data integrity attacks in cyber-physical systems. The simulation results show that the proposed framework is scalable and achieves higher detection accuracy, unlike other benchmark techniques.
{"title":"Reinforcement Learning-Empowered Graph Convolutional Network Framework for Data Integrity Attack Detection in Cyber-Physical Systems","authors":"Edeh Vincent;Mehdi Korki;Mehdi Seyedmahmoudian;Alex Stojcevski;Saad Mekhilef","doi":"10.17775/CSEEJPES.2023.01250","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.01250","url":null,"abstract":"The massive integration of communication and information technology with the large-scale power grid has enhanced the efficiency, safety, and economical operation of cyber-physical systems. However, the open and diversified communication environment of the smart grid is exposed to cyber-attacks. Data integrity attacks that can bypass conventional security techniques have been considered critical threats to the operation of the grid. Current detection techniques cannot learn the dynamic and heterogeneous characteristics of the smart grid and are unable to deal with non-euclidean data types. To address the issue, we propose a novel Deep-Q-Network scheme empowered with a graph convolutional network (GCN) framework to detect data integrity attacks in cyber-physical systems. The simulation results show that the proposed framework is scalable and achieves higher detection accuracy, unlike other benchmark techniques.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 2","pages":"797-806"},"PeriodicalIF":7.1,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436596","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-14DOI: 10.17775/CSEEJPES.2022.07410
Jian Xu;Zhonghao He;Siyang Liao;Yuanzhang Sun;Liangzhong Yao;Deping Ke;Jun Yang
The early detection of cascading failure plays an important role in the safe and stable operation of the power system with high penetration of renewable energy. This paper proposes a fault propagation dynamic model based on the epidemic model, and further puts forward a method to detect the development of cascading failures. Through the simulation of the IEEE 39-bus and 118-bus systems, this model is proven to be valid and capable of providing practical technical support for the prevention of cascading failures in power systems with high penetration of renewable energy. This paper also provides an analysis method for the choice of different protection and control measures at each stage of cascading failure, which has critical significance and follow-up value.
{"title":"Detection Method for Cascading Failure of Power Systems Based on Epidemic Model","authors":"Jian Xu;Zhonghao He;Siyang Liao;Yuanzhang Sun;Liangzhong Yao;Deping Ke;Jun Yang","doi":"10.17775/CSEEJPES.2022.07410","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07410","url":null,"abstract":"The early detection of cascading failure plays an important role in the safe and stable operation of the power system with high penetration of renewable energy. This paper proposes a fault propagation dynamic model based on the epidemic model, and further puts forward a method to detect the development of cascading failures. Through the simulation of the IEEE 39-bus and 118-bus systems, this model is proven to be valid and capable of providing practical technical support for the prevention of cascading failures in power systems with high penetration of renewable energy. This paper also provides an analysis method for the choice of different protection and control measures at each stage of cascading failure, which has critical significance and follow-up value.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 3","pages":"1356-1370"},"PeriodicalIF":7.1,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436607","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-14DOI: 10.17775/CSEEJPES.2022.04860
Zhigang Li;Wenjian Zheng;Junbo Zhao;J. H. Zheng;Q. H. Wu
Observability analysis (OA) is vital to obtaining the available input measurements of state estimation (SE) in an integrated electricity and heating system (IEHS). Considering the thermal quasi-dynamics in pipelines, the measurement equations in heating systems are dependent on the estimated results, leading to an interdependency between OA and SE. Conventional OA methods require measurement equations be known exactly before SE is performed, and they are not applicable to IEHSs. To bridge this gap, a scenario-based OA scheme for IEHSs is devised that yields reliable analysis results for a predefined set of time-delay scenarios to cope with this interdependency. As its core procedure, the observable state identification and observability restoration are formulated in terms of integer linear programming. Numerical tests are conducted to demonstrate the validity and superiority of the proposed formulation.
可观测性分析（OA）对于获得综合电力和供热系统（IEHS）中状态估计（SE）的可用输入测量值至关重要。考虑到管道中的热准动力学，供热系统中的测量方程取决于估计结果，从而导致 OA 和 SE 之间的相互依存关系。传统的 OA 方法要求在执行 SE 之前准确知道测量方程，因此不适用于 IEHS。为了弥补这一缺陷，我们为 IEHS 设计了一种基于情景的 OA 方案，该方案可为一组预定义的时延情景提供可靠的分析结果，以应对这种相互依赖关系。作为其核心程序，可观测状态识别和可观测性恢复是通过整数线性规划来实现的。为证明所提方案的有效性和优越性，进行了数值测试。
{"title":"Observability Analysis of Integrated Electricity and Heating Systems with Thermal Quasi-Dynamics in Pipelines","authors":"Zhigang Li;Wenjian Zheng;Junbo Zhao;J. H. Zheng;Q. H. Wu","doi":"10.17775/CSEEJPES.2022.04860","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.04860","url":null,"abstract":"Observability analysis (OA) is vital to obtaining the available input measurements of state estimation (SE) in an integrated electricity and heating system (IEHS). Considering the thermal quasi-dynamics in pipelines, the measurement equations in heating systems are dependent on the estimated results, leading to an interdependency between OA and SE. Conventional OA methods require measurement equations be known exactly before SE is performed, and they are not applicable to IEHSs. To bridge this gap, a scenario-based OA scheme for IEHSs is devised that yields reliable analysis results for a predefined set of time-delay scenarios to cope with this interdependency. As its core procedure, the observable state identification and observability restoration are formulated in terms of integer linear programming. Numerical tests are conducted to demonstrate the validity and superiority of the proposed formulation.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 3","pages":"1145-1158"},"PeriodicalIF":7.1,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436601","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-14DOI: 10.17775/CSEEJPES.2023.02430
Jiachen Liu;Zhongguan Wang;Xiaodi Zang;Xialin Li;Li Guo;Qinglin Meng;Chengshan Wang
With the integration of large-scale wind turbines (WTs) into grids via electronic interfaces, power systems are suffering from increasingly serious frequency stability risks. Due to the large number of WTs and their complex dynamic characteristics, operators encounter challenges in coordinating single WTs to provide frequency support directly, and it is necessary to assess the primacy frequency regulation (PFR) capability of wind farms. To cope with the problems of solving complexity and incomplete parameters, a data-driven state space mappingbased linear model for wind farms is developed in this paper to assess the maximum PFR capability. With Koopman operator theory (KOT), the proposed method transforms wind farm PFR nonlinear dynamics into a linear lift-dimension algebraic model, which can assess the maximum PFR capability of wind farms based on historical data in real-time. The simulation results demonstrate that the proposed method has the advantages of fast solving, independence on model parameters, and lower training data requirements.
{"title":"Data-Driven Dynamic Assessment of Wind Farm Frequency Characteristics Based on State Space Mapping","authors":"Jiachen Liu;Zhongguan Wang;Xiaodi Zang;Xialin Li;Li Guo;Qinglin Meng;Chengshan Wang","doi":"10.17775/CSEEJPES.2023.02430","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.02430","url":null,"abstract":"With the integration of large-scale wind turbines (WTs) into grids via electronic interfaces, power systems are suffering from increasingly serious frequency stability risks. Due to the large number of WTs and their complex dynamic characteristics, operators encounter challenges in coordinating single WTs to provide frequency support directly, and it is necessary to assess the primacy frequency regulation (PFR) capability of wind farms. To cope with the problems of solving complexity and incomplete parameters, a data-driven state space mappingbased linear model for wind farms is developed in this paper to assess the maximum PFR capability. With Koopman operator theory (KOT), the proposed method transforms wind farm PFR nonlinear dynamics into a linear lift-dimension algebraic model, which can assess the maximum PFR capability of wind farms based on historical data in real-time. The simulation results demonstrate that the proposed method has the advantages of fast solving, independence on model parameters, and lower training data requirements.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 3","pages":"1018-1029"},"PeriodicalIF":6.9,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436612","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-14DOI: 10.17775/CSEEJPES.2022.00460
Nan Zhang;Xiaodong Li;Zheren Zhang;Zheng Xu
The hybrid cascaded HVDC system employs a line commutated converter (LCC) as the rectifier and an LCC in series with multiple paralleled modular multilevel converters (MMCs) as the inverter. MMC arms are susceptible to overcurrent following a severe AC fault at the receiving end, however, its fundamental mechanism has not been totally revealed. Therefore, this article explores the overcurrent characteristics on MMC arms, in terms of both the DC and AC components. Apart from the DC overcurrent component induced by the commutation failure (CF) of the inverter LCC, the AC overcurrent component is also significant. It dramatically depends on the coupling effects among the AC systems of the inverter side. Further, corresponding suppression strategies are proposed, which are applicable to different receiving-end AC fault scenarios. Eventually, the time-domain simulation results from PSCAD/EMTDC validate the effectiveness of the proposed overcurrent suppression control. It is also demonstrated that the presented methods can not only suppress overcurrent for MMC arms, but also reduce the imbalanced power between two sides, as well as improve the dynamic performances of the entire system.
{"title":"Overcurrent Mechanism and Suppression Control for MMC Arms in Hybrid Cascaded HVDC System","authors":"Nan Zhang;Xiaodong Li;Zheren Zhang;Zheng Xu","doi":"10.17775/CSEEJPES.2022.00460","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.00460","url":null,"abstract":"The hybrid cascaded HVDC system employs a line commutated converter (LCC) as the rectifier and an LCC in series with multiple paralleled modular multilevel converters (MMCs) as the inverter. MMC arms are susceptible to overcurrent following a severe AC fault at the receiving end, however, its fundamental mechanism has not been totally revealed. Therefore, this article explores the overcurrent characteristics on MMC arms, in terms of both the DC and AC components. Apart from the DC overcurrent component induced by the commutation failure (CF) of the inverter LCC, the AC overcurrent component is also significant. It dramatically depends on the coupling effects among the AC systems of the inverter side. Further, corresponding suppression strategies are proposed, which are applicable to different receiving-end AC fault scenarios. Eventually, the time-domain simulation results from PSCAD/EMTDC validate the effectiveness of the proposed overcurrent suppression control. It is also demonstrated that the presented methods can not only suppress overcurrent for MMC arms, but also reduce the imbalanced power between two sides, as well as improve the dynamic performances of the entire system.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 1","pages":"306-317"},"PeriodicalIF":6.9,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436594","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-14DOI: 10.17775/CSEEJPES.2023.06270
Mohammad Dolatabadi;Alireza Zakariazadeh;Alberto Borghetti;Pierluigi Siano
Encouraging citizens to invest in small-scale renewable resources is crucial for transitioning towards a sustainable and clean energy system. Local energy communities (LECs) are expected to play a vital role in this context. However, energy scheduling in LECs presents various challenges, including the preservation of customer privacy, adherence to distribution network constraints, and the management of computational burdens. This paper introduces a novel approach for energy scheduling in renewable-based LECs using a decentralized optimization method. The proposed approach uses the Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method, significantly reducing the computational effort required for solving the mixed integer programming (MIP) problem. It incorporates network constraints, evaluates energy losses, and enables community participants to provide ancillary services like a regulation reserve to the grid utility. To assess its robustness and efficiency, the proposed approach is tested on an 84-bus radial distribution network. Results indicate that the proposed distributed approach not only matches the accuracy of the corresponding centralized model but also exhibits scalability and preserves participant privacy.
{"title":"Distributed Energy and Reserve Scheduling in Local Energy Communities Using L-BFGS Optimization","authors":"Mohammad Dolatabadi;Alireza Zakariazadeh;Alberto Borghetti;Pierluigi Siano","doi":"10.17775/CSEEJPES.2023.06270","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.06270","url":null,"abstract":"Encouraging citizens to invest in small-scale renewable resources is crucial for transitioning towards a sustainable and clean energy system. Local energy communities (LECs) are expected to play a vital role in this context. However, energy scheduling in LECs presents various challenges, including the preservation of customer privacy, adherence to distribution network constraints, and the management of computational burdens. This paper introduces a novel approach for energy scheduling in renewable-based LECs using a decentralized optimization method. The proposed approach uses the Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method, significantly reducing the computational effort required for solving the mixed integer programming (MIP) problem. It incorporates network constraints, evaluates energy losses, and enables community participants to provide ancillary services like a regulation reserve to the grid utility. To assess its robustness and efficiency, the proposed approach is tested on an 84-bus radial distribution network. Results indicate that the proposed distributed approach not only matches the accuracy of the corresponding centralized model but also exhibits scalability and preserves participant privacy.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 3","pages":"942-952"},"PeriodicalIF":7.1,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436620","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the reform of the power system further deepening, the reliance on electricity and importance attached to the reliable power supply are increasing year by year, and the establishment of a high resilient power system has considerable economic, environmental and social benefits. Reconfiguring the network is one of the well-known tactics to enhance reliability. Accordingly, this paper proposes a reconfiguration method of distribution network considering the enhancement of reliability, which reconfigures the network structure both under normal operation conditions and outage scenarios, and considers factors such as power loss, load distribution and voltage quality considered in conventional reconfiguration methods. In this paper, the reliability assessment is integrated into the process of distribution network reconfiguration by using binary variables to represent the operating state of switchable devices. Based on the concept of fictitious fault flows, the reliability indices of distribution network are linearized expressed, and the network loss is reduced by minimizing the voltage deviation. A mixed integer linear programming (MILP) model is established for distribution network reconfiguration problem, which can guarantee the global optimal solution with high solution efficiency. Finally, the applicability and effectiveness of the proposed method are verified by numerical tests on a 54-node test system.
{"title":"Mixed-Integer Linear Programming Based Distribution Network Reconfiguration Model Considering Reliability Enhancement","authors":"Junpeng Zhu;Yi Zhou;Xiaofeng Dong;Li Zhou;Qiong Zhu;Yue Yuan","doi":"10.17775/CSEEJPES.2023.00150","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.00150","url":null,"abstract":"With the reform of the power system further deepening, the reliance on electricity and importance attached to the reliable power supply are increasing year by year, and the establishment of a high resilient power system has considerable economic, environmental and social benefits. Reconfiguring the network is one of the well-known tactics to enhance reliability. Accordingly, this paper proposes a reconfiguration method of distribution network considering the enhancement of reliability, which reconfigures the network structure both under normal operation conditions and outage scenarios, and considers factors such as power loss, load distribution and voltage quality considered in conventional reconfiguration methods. In this paper, the reliability assessment is integrated into the process of distribution network reconfiguration by using binary variables to represent the operating state of switchable devices. Based on the concept of fictitious fault flows, the reliability indices of distribution network are linearized expressed, and the network loss is reduced by minimizing the voltage deviation. A mixed integer linear programming (MILP) model is established for distribution network reconfiguration problem, which can guarantee the global optimal solution with high solution efficiency. Finally, the applicability and effectiveness of the proposed method are verified by numerical tests on a 54-node test system.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 3","pages":"1336-1346"},"PeriodicalIF":6.9,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436610","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","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：