Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621480
A. Hussain, Daoqing Li, Rui Xu, Xiaodong Yu
In this article, a wind power interval forecasting method based on Parzen window estimation and interval optimization is proposed. First, the Parzen window estimation method is used to find the wind power forecast error distribution of arbitrary shape due to its property of good fitting and more compatibility with actual data. Second, the optimization method is used to find the shortest confidence interval under the irregular distribution. Finally, the wind power interval forecast result is obtained based on the precise and minimum interval width. Simulation results show that comparing with traditional method, the proposed method can obtain the minimum forecast interval under every confidence degree. The proposed approach is not only more precise but also more practical.
{"title":"Wind Power Interval Forecasting under Irregular Distribution","authors":"A. Hussain, Daoqing Li, Rui Xu, Xiaodong Yu","doi":"10.1109/ICPSAsia52756.2021.9621480","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621480","url":null,"abstract":"In this article, a wind power interval forecasting method based on Parzen window estimation and interval optimization is proposed. First, the Parzen window estimation method is used to find the wind power forecast error distribution of arbitrary shape due to its property of good fitting and more compatibility with actual data. Second, the optimization method is used to find the shortest confidence interval under the irregular distribution. Finally, the wind power interval forecast result is obtained based on the precise and minimum interval width. Simulation results show that comparing with traditional method, the proposed method can obtain the minimum forecast interval under every confidence degree. The proposed approach is not only more precise but also more practical.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132859987","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 : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621436
Kaiyuan Wang, Y. Mao, Chendan Li
High penetrations of intermittent renewable energy sources (RES) in smart homes necessitate the power flow management. The recently proposed electric springs (ES), as alternatives to the conventional energy storage systems (ESS), can regulate the power flow with smaller battery capacities as compared to that of the ESS. This greatly increases the economic value of smart homes, as batteries of the domestic ESS are quite expensive. In this paper, a concept of having the ES equipped with communicate ports that connect with a home user’s portable devices, hereon known as ES-based power flow routers (PFR), to mitigate the distribution line power loss, is proposed. By raising the power utilization, the economic value can be further enhanced. Case studies are carried out in MATLAB/SIMULINK to verify the effectiveness of ES in stabilizing a five-bus home microgrid, instead of using the conventional ESS. Besides, it is validated that the ES-based PFR can save substantial payments of electricity bills through the reduction of the distribution power loss.
{"title":"Electric Spring-Based Power Flow Routers for Economic Enhancement of the Microgrid Cluster Based on Smart Homes","authors":"Kaiyuan Wang, Y. Mao, Chendan Li","doi":"10.1109/ICPSAsia52756.2021.9621436","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621436","url":null,"abstract":"High penetrations of intermittent renewable energy sources (RES) in smart homes necessitate the power flow management. The recently proposed electric springs (ES), as alternatives to the conventional energy storage systems (ESS), can regulate the power flow with smaller battery capacities as compared to that of the ESS. This greatly increases the economic value of smart homes, as batteries of the domestic ESS are quite expensive. In this paper, a concept of having the ES equipped with communicate ports that connect with a home user’s portable devices, hereon known as ES-based power flow routers (PFR), to mitigate the distribution line power loss, is proposed. By raising the power utilization, the economic value can be further enhanced. Case studies are carried out in MATLAB/SIMULINK to verify the effectiveness of ES in stabilizing a five-bus home microgrid, instead of using the conventional ESS. Besides, it is validated that the ES-based PFR can save substantial payments of electricity bills through the reduction of the distribution power loss.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"68 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132860307","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 : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621471
R. Chen, Y. Sun, J. Xu, S. Liao, B. Wang, Z. Zhang, Xiucai Ding, Y. Wu
Purchasing reserve power in advance is an efficient approach to address intermittency of renewable energy. To promote renewables penetration level and increase cost-efficiency of bulk power system, a novel coordinated dispatch model for both energy and reserve based on conditional value-of-risk for hybrid AC/DC system is proposed in this paper. In addition, renewable generation and load centers locate separately in a large spatial range and usually are managed by different system operator. A fully distributed framework based on alternating direction method of multipliers (ADMM) is proposed in this paper to solve the schedule model in a decomposed manner, which guarantees low calculation burden and the privacy information of each subsystem. Moreover, a dynamic penalty factor accelerated algorithm is proposed in this paper to enhance the decomposition method convergence and efficiency property. The effectiveness and robustness of proposed model and algorithm are validated through case studies based on a 2-area 6-bus system.
{"title":"Fully Distributed Energy and Reserve Scheduling for Hybrid AC/DC Systems","authors":"R. Chen, Y. Sun, J. Xu, S. Liao, B. Wang, Z. Zhang, Xiucai Ding, Y. Wu","doi":"10.1109/ICPSAsia52756.2021.9621471","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621471","url":null,"abstract":"Purchasing reserve power in advance is an efficient approach to address intermittency of renewable energy. To promote renewables penetration level and increase cost-efficiency of bulk power system, a novel coordinated dispatch model for both energy and reserve based on conditional value-of-risk for hybrid AC/DC system is proposed in this paper. In addition, renewable generation and load centers locate separately in a large spatial range and usually are managed by different system operator. A fully distributed framework based on alternating direction method of multipliers (ADMM) is proposed in this paper to solve the schedule model in a decomposed manner, which guarantees low calculation burden and the privacy information of each subsystem. Moreover, a dynamic penalty factor accelerated algorithm is proposed in this paper to enhance the decomposition method convergence and efficiency property. The effectiveness and robustness of proposed model and algorithm are validated through case studies based on a 2-area 6-bus system.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133013640","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 : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621422
Zifa Liu, Ting Zhang
Equipment outage is the root cause of power system failure, and the establishment of equipment failure rate model is the basis for system reliability analysis. Based on data-driven and fuzzy theory, a time-varying failure rate model of equipment was proposed. Firstly, double Weibull distribution was used to describe the aging failure. For the risk factors such as operating environment, internal health, external condition and meteorological environment, the equipment state was evaluated by subjective and objective comprehensive weight. The exposed equipment adopted the dual-condition cloud model, and the distribution of cloud drops was used to describe the impact factor. The enclosed equipment adopted the proportional hazard model and used comprehensive health index as the covariate. Secondly, considering repair fatigue, an improved age-reduction model was applied to calculate the equivalent age. Thirdly, using Levenberg Marquardt method to estimate the parameters of the model. Finally, the typical scenarios were extracted based on the improved k-means to calculate the reliability of a microgrid. The results show that the model can better simulate the actual situation of system operation, reflect the temporal and spatial differences of equipment failure, and improve the accuracy of reliability calculation.
{"title":"Failure Probability Model of Distribution Network Equipment Based on Improved Age-Reduction Model and Factor Correction","authors":"Zifa Liu, Ting Zhang","doi":"10.1109/ICPSAsia52756.2021.9621422","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621422","url":null,"abstract":"Equipment outage is the root cause of power system failure, and the establishment of equipment failure rate model is the basis for system reliability analysis. Based on data-driven and fuzzy theory, a time-varying failure rate model of equipment was proposed. Firstly, double Weibull distribution was used to describe the aging failure. For the risk factors such as operating environment, internal health, external condition and meteorological environment, the equipment state was evaluated by subjective and objective comprehensive weight. The exposed equipment adopted the dual-condition cloud model, and the distribution of cloud drops was used to describe the impact factor. The enclosed equipment adopted the proportional hazard model and used comprehensive health index as the covariate. Secondly, considering repair fatigue, an improved age-reduction model was applied to calculate the equivalent age. Thirdly, using Levenberg Marquardt method to estimate the parameters of the model. Finally, the typical scenarios were extracted based on the improved k-means to calculate the reliability of a microgrid. The results show that the model can better simulate the actual situation of system operation, reflect the temporal and spatial differences of equipment failure, and improve the accuracy of reliability calculation.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130845759","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}
Energy storage system is a good solution to reduce the abandonment of electricity caused by highly penetrated renewable energy. With the liberalization of the electricity market, independent investor is permitted to participate in the planning and operation of the distribution network (DN). In this paper, a planning method for battery energy storage system (BESS) to maximize the profits of the investors and reduce the wind abandonment, from the perspective of independent investors, is proposed. Considering the growth of load and renewable energy penetration, as well as the economy of investment, deployment of BESS is divided into several stages. This problem is formulated as a bi-level programming. In the upper level, the installation time, location, rated power and capacity of the battery are optimized using particle swarm optimization (PSO) method. In the lower level, the most profitable charging/discharging power of the battery is obtained by interior point method (IPM), and then the optimal power flow (OPF) is carried out to dispatch wind energy considering the constraints. The proposed method is tested on a modified IEEE 33-bus system. Experimental results show that the proposed method can not only make independent battery investors profitable, but also reduce the wind curtailment of the DN.
{"title":"A Novel optimized Planning Approach of BESS Considering Investor Benefit and Wind Curtailment","authors":"Ke Qing, Zhenyuan Zhang, Qi Huang, Weihao Hu, Yanting Hu, Zhe Chen","doi":"10.1109/ICPSAsia52756.2021.9621675","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621675","url":null,"abstract":"Energy storage system is a good solution to reduce the abandonment of electricity caused by highly penetrated renewable energy. With the liberalization of the electricity market, independent investor is permitted to participate in the planning and operation of the distribution network (DN). In this paper, a planning method for battery energy storage system (BESS) to maximize the profits of the investors and reduce the wind abandonment, from the perspective of independent investors, is proposed. Considering the growth of load and renewable energy penetration, as well as the economy of investment, deployment of BESS is divided into several stages. This problem is formulated as a bi-level programming. In the upper level, the installation time, location, rated power and capacity of the battery are optimized using particle swarm optimization (PSO) method. In the lower level, the most profitable charging/discharging power of the battery is obtained by interior point method (IPM), and then the optimal power flow (OPF) is carried out to dispatch wind energy considering the constraints. The proposed method is tested on a modified IEEE 33-bus system. Experimental results show that the proposed method can not only make independent battery investors profitable, but also reduce the wind curtailment of the DN.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130909355","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 : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621576
Xiangxi Duan, Qi Huang, Zhe Chen, Jian Li, Ming-zhong Liu
This paper focuses on the problems of frequent faults, abnormal events, and the lack of operational state evaluation means for electronic transformers. Based on a large amount of equipment operation and state data, a cross weight method, namely Analytic Hierarchy Process (AHP), which is driven by experts’ experience and data, is proposed in this paper. This method solves the problem of single factor and low accuracy in the traditional status evaluation method for electronic transformers. In this method, the influence factors and comment sets are established according to the experience of experts and the operation standards. For the construction of weight matrix, a cross-weight method is innovatively proposed. Through a subjective weight assignment of fuzzy trigonometric numbers based on experts’ experience and objective variable weights based on data, the accuracy of the state assessment of electronic transformer is improved. Finally, the proposed method is verified using an example, which shows that it can effectively improve the speed and accuracy of the state evaluation of electronic transformers.
{"title":"State Evaluation of Electronic Transformers Based on Cross Weight Method AHP","authors":"Xiangxi Duan, Qi Huang, Zhe Chen, Jian Li, Ming-zhong Liu","doi":"10.1109/ICPSAsia52756.2021.9621576","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621576","url":null,"abstract":"This paper focuses on the problems of frequent faults, abnormal events, and the lack of operational state evaluation means for electronic transformers. Based on a large amount of equipment operation and state data, a cross weight method, namely Analytic Hierarchy Process (AHP), which is driven by experts’ experience and data, is proposed in this paper. This method solves the problem of single factor and low accuracy in the traditional status evaluation method for electronic transformers. In this method, the influence factors and comment sets are established according to the experience of experts and the operation standards. For the construction of weight matrix, a cross-weight method is innovatively proposed. Through a subjective weight assignment of fuzzy trigonometric numbers based on experts’ experience and objective variable weights based on data, the accuracy of the state assessment of electronic transformer is improved. Finally, the proposed method is verified using an example, which shows that it can effectively improve the speed and accuracy of the state evaluation of electronic transformers.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129247579","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}
With the promotion of photovoltaic poverty alleviation policy in China, voltage overruns in distribution network with high photovoltaic penetration is significant. Based on droop control method, this paper designs an adaptive method for voltage regulation using distributed battery energy storage. The droop coefficients are designed using the system voltage sensitivity matrix. A closed-loop model of the system droop control is established, consequently, a method for predicting the voltage recovered by droop control is also proposed to prevent voltage exceeding limit. A practical sample of a rural distribution network in Inner Mongolia is simulated in Matlab/Simulink to verify the proposed method.
{"title":"Voltage Sensitivity Matrix Based P-V Droop Control for Adaptive Voltage Regulation in Rural Distribution","authors":"Yuanping Yang, Xiangjun Quan, Zai-jun Wu, Shufeng Li, Fangsheng Wang, Chenghong Tang","doi":"10.1109/ICPSAsia52756.2021.9621656","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621656","url":null,"abstract":"With the promotion of photovoltaic poverty alleviation policy in China, voltage overruns in distribution network with high photovoltaic penetration is significant. Based on droop control method, this paper designs an adaptive method for voltage regulation using distributed battery energy storage. The droop coefficients are designed using the system voltage sensitivity matrix. A closed-loop model of the system droop control is established, consequently, a method for predicting the voltage recovered by droop control is also proposed to prevent voltage exceeding limit. A practical sample of a rural distribution network in Inner Mongolia is simulated in Matlab/Simulink to verify the proposed method.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126894965","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 : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621447
Yong-Liang Liang, Kejun Li, Zhongxing Zhang, Weijen Lee
Insulation deterioration is one of the key causes of the single-phase-to-ground fault (SPGF) in medium-voltage distribution networks, and accurate recognition of the SPGFs caused by insulation deterioration can improve the maintenance efficiency and prevent the development of faults. An integrated model for recognition of SPGFs caused by insulation deterioration is proposed in this paper. Multiple waveform features in the time, frequency, and time-frequency domains are extracted, and their feasibility is analyzed through a multivariate analysis of variance. Then, recognition models based on the fuzzy inference system, extreme learning machine, and support vector machine are designed, and an integrated recognition model based on Dempster-Shafer evidence theory is proposed. The recognition result of onsite data indicate that the integrated model outperforms any single model, confirming the advantages and feasibility of the proposed model.
{"title":"Integrated Model for Recognition of Single-Phase-to-Ground Fault Caused by Insulation Deterioration in Medium-Voltage Distribution Networks","authors":"Yong-Liang Liang, Kejun Li, Zhongxing Zhang, Weijen Lee","doi":"10.1109/ICPSAsia52756.2021.9621447","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621447","url":null,"abstract":"Insulation deterioration is one of the key causes of the single-phase-to-ground fault (SPGF) in medium-voltage distribution networks, and accurate recognition of the SPGFs caused by insulation deterioration can improve the maintenance efficiency and prevent the development of faults. An integrated model for recognition of SPGFs caused by insulation deterioration is proposed in this paper. Multiple waveform features in the time, frequency, and time-frequency domains are extracted, and their feasibility is analyzed through a multivariate analysis of variance. Then, recognition models based on the fuzzy inference system, extreme learning machine, and support vector machine are designed, and an integrated recognition model based on Dempster-Shafer evidence theory is proposed. The recognition result of onsite data indicate that the integrated model outperforms any single model, confirming the advantages and feasibility of the proposed model.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126508309","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}
This paper addresses a stochastic energy bidding problem for multiple wind farms belonging to different entities. Considering competitive relationship among wind farms, a Cournot game based pricing function is introduced to describe dynamic market prices and the amount of energy bids from wind farms in day-ahead (DA) electricity market. Furthermore, the output power of wind power generations is modeled by stochastic scenarios and the Conditional Value-at-Risk (CVaR) method is applied to measure the cost of energy bids under uncertainty. Especially, a CVaR based risk term is added into the objective function to obtain trade-off bidding decisions between expected profits and financial risks. By the case study, the effectiveness and feasibility of the proposed Cournot stochastic game based bidding strategy are verified.
{"title":"Trade-off Stochastic Game Based Bidding Strategy for Multiple Wind Farms","authors":"Shiyuan He, Shunxian Yu, Luhao Wang, Yanfang Liu, Xiuhan Lin, Wenjing Han","doi":"10.1109/ICPSAsia52756.2021.9621692","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621692","url":null,"abstract":"This paper addresses a stochastic energy bidding problem for multiple wind farms belonging to different entities. Considering competitive relationship among wind farms, a Cournot game based pricing function is introduced to describe dynamic market prices and the amount of energy bids from wind farms in day-ahead (DA) electricity market. Furthermore, the output power of wind power generations is modeled by stochastic scenarios and the Conditional Value-at-Risk (CVaR) method is applied to measure the cost of energy bids under uncertainty. Especially, a CVaR based risk term is added into the objective function to obtain trade-off bidding decisions between expected profits and financial risks. By the case study, the effectiveness and feasibility of the proposed Cournot stochastic game based bidding strategy are verified.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121462513","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 : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621570
Xingyu Yan, Ciwei Gao, Mingxing Guo, Jianyong Ding, R. Lyu, Su Wang, Xiaohui Wang, D. Abbes
As grid-connected variable renewable energy (VRE) increases, especially in the distribution network, dealing with the uncertainty, variability, and consequently flexibility requirements is becoming an urgent challenge to the power system operators. Virtual power plant (VPP) can group different kinds of small-scale distributed energy resources (DERs), which are usually unseen by the system operators, as a single unit to participate in energy markets and system management. Therefore, an optimal energy management problem of a VPP is addressed in this paper for energy and operating reserve (OR) scheduling. The studied VPP is a cluster of dispersed generating units (including dispatchable and stochastic power), flexible loads, as well as storage units. Since the uncertainty could come from the stochastic power production, load demand, and electricity price, information gap decision theory (IGDT) is applied in the unit commitment procedures to minimize the VPP operating cost to deal with price uncertainty, while both power production and load forecasting uncertainties are covered by OR services. Finally, the proposed method is applied with a case study, and optimal decisions are investigated.
{"title":"An IGDT-Based Day-ahead Optimal Energy Scheduling Strategy in a Virtual Power Plant","authors":"Xingyu Yan, Ciwei Gao, Mingxing Guo, Jianyong Ding, R. Lyu, Su Wang, Xiaohui Wang, D. Abbes","doi":"10.1109/ICPSAsia52756.2021.9621570","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621570","url":null,"abstract":"As grid-connected variable renewable energy (VRE) increases, especially in the distribution network, dealing with the uncertainty, variability, and consequently flexibility requirements is becoming an urgent challenge to the power system operators. Virtual power plant (VPP) can group different kinds of small-scale distributed energy resources (DERs), which are usually unseen by the system operators, as a single unit to participate in energy markets and system management. Therefore, an optimal energy management problem of a VPP is addressed in this paper for energy and operating reserve (OR) scheduling. The studied VPP is a cluster of dispersed generating units (including dispatchable and stochastic power), flexible loads, as well as storage units. Since the uncertainty could come from the stochastic power production, load demand, and electricity price, information gap decision theory (IGDT) is applied in the unit commitment procedures to minimize the VPP operating cost to deal with price uncertainty, while both power production and load forecasting uncertainties are covered by OR services. Finally, the proposed method is applied with a case study, and optimal decisions are investigated.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116662972","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}
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