Aiming at the problem of the influence of the control of the operating state of the extended-range electric vehicles (EREVs) engine on the fuel economy of the whole vehicles, this paper studies the multi-operating point control strategy of the extended-range electric vehicles engine. Firstly, the driving motor model, generator model, engine model and power battery model of extended range electric vehicles are established. Further, the vehicle control model and engine multi-operating point control model are built on the MATLAB/Simulink platform. Through co-simulation with VPAT, The effectiveness of vehicle control strategy and engine multi-point control strategy is verified in WLTC operating condition. The results show that the fuel consumption per 100 km is about 2% lower and the comprehensive energy utilization efficiency is 3% higher than that of the single working point control strategy under WLTC condition, and the expected effect is achieved.
{"title":"Research on Multi-operating Point Control Strategy of Extended Range Electric Vehicle Engine","authors":"Wen Wang, Wenbo Li, Fufan Qu, Jiawen Cai, Peng Wang, Hong-Yang Zheng","doi":"10.1109/CEEPE58418.2023.10167122","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10167122","url":null,"abstract":"Aiming at the problem of the influence of the control of the operating state of the extended-range electric vehicles (EREVs) engine on the fuel economy of the whole vehicles, this paper studies the multi-operating point control strategy of the extended-range electric vehicles engine. Firstly, the driving motor model, generator model, engine model and power battery model of extended range electric vehicles are established. Further, the vehicle control model and engine multi-operating point control model are built on the MATLAB/Simulink platform. Through co-simulation with VPAT, The effectiveness of vehicle control strategy and engine multi-point control strategy is verified in WLTC operating condition. The results show that the fuel consumption per 100 km is about 2% lower and the comprehensive energy utilization efficiency is 3% higher than that of the single working point control strategy under WLTC condition, and the expected effect is achieved.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115270608","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}
Aiming at the open circuit fault of power switching devices which is common in the DC charging pile of electric vehicles, a real-time fault diagnosis method of electric vehicle charging pile based on model predictive control is proposed in this paper. The model predictive current control method is adopted to replace the PI controller in the current loop of the traditional PWM rectifier. On this basis, the switch state of the rectifier applied under the open circuit fault of the power switching devices is compared with the optimal switch state obtained by model predictive control, and the fault feature signal is established to realize the fault diagnosis and positioning of the charging pile power switching devices. Since the fault feature signals of different power switching devices have no influence on each other, this method has significant effect on single tube, double tube, and multiple tube simultaneously fault. The simulation results verify the correctness and effectiveness of the proposed fault diagnosis method for charging piles.
{"title":"An Open-circuit Fault Diagnosis Method for Power Switching Devices of DC Charging Piles of Electric Vehicles Based on Model Predictive Control Strategy","authors":"Hongtao Li, Mingchang Ding, Yinghua Dong, Yuan Li, Chao Zhao, Shuangqing Zhang","doi":"10.1109/CEEPE58418.2023.10166275","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166275","url":null,"abstract":"Aiming at the open circuit fault of power switching devices which is common in the DC charging pile of electric vehicles, a real-time fault diagnosis method of electric vehicle charging pile based on model predictive control is proposed in this paper. The model predictive current control method is adopted to replace the PI controller in the current loop of the traditional PWM rectifier. On this basis, the switch state of the rectifier applied under the open circuit fault of the power switching devices is compared with the optimal switch state obtained by model predictive control, and the fault feature signal is established to realize the fault diagnosis and positioning of the charging pile power switching devices. Since the fault feature signals of different power switching devices have no influence on each other, this method has significant effect on single tube, double tube, and multiple tube simultaneously fault. The simulation results verify the correctness and effectiveness of the proposed fault diagnosis method for charging piles.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121052800","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10165918
Tao Xu, Kai Xu, Jiangming Zhang, Si-qing Yang, Jun-Heng Huang
Quantity inspection plays an important role in power metering. With the development of the digital construction of the quality inspection laboratory, the scheduling algorithm of quality inspection tasks requires higher scheduling efficiency and accuracy to meet the diverse needs of practical applications. Different from the traditional job-shop scheduling problem (JSP), there is no fixed corresponding relationship between samples and tasks in the quality inspection task scheduling problem (QISP), which means a higher degree of freedom of scheduling. At the same time, quality inspection tasks have more complex constraints such as serial, parallel, and mutual exclusion, which makes the existing scheduling algorithms cannot be directly applied. This paper builds a reinforcement learning (RL) based method for QISP. A new scheduling feature representation method is proposed to fully describe the state of quality inspection tasks and sample-device utilization. Aiming to solve the problem of sparse rewards, we present a reward function to integrate scheduling environment utilization rate and empty time. Considering the non-repetitive and complex constraints of quality inspection tasks, a set of action selection rules is proposed to replace the agent's direct learning of action decisions. Heuristic decide is used to improve the convergence speed of the algorithm and enhance the interpretability of the model's action selection. Compared with the traditional MWKR, GA, PSO algorithms, the RL-based method in this paper shows great advantages in solution quality and efficiency on the real data-set of a quality inspection laboratory of a state grid corporation.
{"title":"Quality Inspection Scheduling Problem Based on Reinforcement Learning Environment","authors":"Tao Xu, Kai Xu, Jiangming Zhang, Si-qing Yang, Jun-Heng Huang","doi":"10.1109/CEEPE58418.2023.10165918","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10165918","url":null,"abstract":"Quantity inspection plays an important role in power metering. With the development of the digital construction of the quality inspection laboratory, the scheduling algorithm of quality inspection tasks requires higher scheduling efficiency and accuracy to meet the diverse needs of practical applications. Different from the traditional job-shop scheduling problem (JSP), there is no fixed corresponding relationship between samples and tasks in the quality inspection task scheduling problem (QISP), which means a higher degree of freedom of scheduling. At the same time, quality inspection tasks have more complex constraints such as serial, parallel, and mutual exclusion, which makes the existing scheduling algorithms cannot be directly applied. This paper builds a reinforcement learning (RL) based method for QISP. A new scheduling feature representation method is proposed to fully describe the state of quality inspection tasks and sample-device utilization. Aiming to solve the problem of sparse rewards, we present a reward function to integrate scheduling environment utilization rate and empty time. Considering the non-repetitive and complex constraints of quality inspection tasks, a set of action selection rules is proposed to replace the agent's direct learning of action decisions. Heuristic decide is used to improve the convergence speed of the algorithm and enhance the interpretability of the model's action selection. Compared with the traditional MWKR, GA, PSO algorithms, the RL-based method in this paper shows great advantages in solution quality and efficiency on the real data-set of a quality inspection laboratory of a state grid corporation.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125116900","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10167261
Shengfeng Han, Wenbing Wang, Zheng Li, Zeng Fan
For the uncertainty of load, wind and solar power generation in distribution network planning., the method of using the k-means clustering method for processing is proposed for distribution network planning research. Firstly, the k-means clustering-based method is used to analyze renewable energy generation and load demand and establish a planning model with minimum net present value based on total investment cost; then, the distribution network planning model is solved using a hybrid algorithm; finally, the proposed method is applied to a 24-bus distribution system to verify its effectiveness and performance. The simulation results verify the effectiveness and practicality of the proposed planning method.
{"title":"Research on Distribution Network Planning Based on DE-PSO Hybrid Algorithm","authors":"Shengfeng Han, Wenbing Wang, Zheng Li, Zeng Fan","doi":"10.1109/CEEPE58418.2023.10167261","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10167261","url":null,"abstract":"For the uncertainty of load, wind and solar power generation in distribution network planning., the method of using the k-means clustering method for processing is proposed for distribution network planning research. Firstly, the k-means clustering-based method is used to analyze renewable energy generation and load demand and establish a planning model with minimum net present value based on total investment cost; then, the distribution network planning model is solved using a hybrid algorithm; finally, the proposed method is applied to a 24-bus distribution system to verify its effectiveness and performance. The simulation results verify the effectiveness and practicality of the proposed planning method.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125173248","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10167374
Oi Xu, Junjun Deng, Lingbo Jiang, Na Fu, Shuo Wang
This paper proposes a half-duplex simultaneous wireless power and data transfer (SWPDT) system and its design method based on amplitude shift keying (ASK). Since the setup of steady data carrier takes several periods of data carrier, the data rate is limited and delay is introduced. Therefore, in this paper the transient process of transferring bit ‘0’ and ‘1’ is analysed in detail and the relationship of system parameters with delay time and data rate and is given. Compared with previous research, the system design method takes communication delay and data rate into account. A 180W laboratory prototype was built to verify the correctness of the analysis.
{"title":"A Half-Duplex Simultaneous Wireless Power and Data Transfer System and Its Design Method Based on Amplitude Shift Keying","authors":"Oi Xu, Junjun Deng, Lingbo Jiang, Na Fu, Shuo Wang","doi":"10.1109/CEEPE58418.2023.10167374","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10167374","url":null,"abstract":"This paper proposes a half-duplex simultaneous wireless power and data transfer (SWPDT) system and its design method based on amplitude shift keying (ASK). Since the setup of steady data carrier takes several periods of data carrier, the data rate is limited and delay is introduced. Therefore, in this paper the transient process of transferring bit ‘0’ and ‘1’ is analysed in detail and the relationship of system parameters with delay time and data rate and is given. Compared with previous research, the system design method takes communication delay and data rate into account. A 180W laboratory prototype was built to verify the correctness of the analysis.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125999094","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166797
Yiming Wang, Shi-Yun Xu, J. Bi, Shuyan Wang, Huiping Zheng, Xinyuan Liu
The limiter is extensively configured in the renewable energy conversion system, which is mainly used to limit the current or avoid a large deviation of fault trajectory from the rating value. However, existing studies have not fully revealed the key parameters of the transient stability of the renewable energy conversion system with the limiters and instability pattern. To fill the gap, a grid-connected VSC system including the current limiter and frequency limiter is first established in this paper. Secondly, the influence of key factors on the transient stability of grid-connected VSC systems with limiters is investigated to conclude the stability forms. The results show that there is no monotonous tendency of influence between transient stability characteristics and key factors, which is significantly different from the results of ignoring limiters. Additionally, due to the limiter, two new stable forms appear, that is, the power oscillation of the peak clipping and the stabilization at the new stable equilibrium point caused by the switch between the control modes. The relevant work in this paper provides a reference to understand the stable features and dynamic behaviors of the renewable energy conversion system.
{"title":"Transient Stability Analysis and Stable Forms of the Grid-Connected VSC System with Limiter","authors":"Yiming Wang, Shi-Yun Xu, J. Bi, Shuyan Wang, Huiping Zheng, Xinyuan Liu","doi":"10.1109/CEEPE58418.2023.10166797","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166797","url":null,"abstract":"The limiter is extensively configured in the renewable energy conversion system, which is mainly used to limit the current or avoid a large deviation of fault trajectory from the rating value. However, existing studies have not fully revealed the key parameters of the transient stability of the renewable energy conversion system with the limiters and instability pattern. To fill the gap, a grid-connected VSC system including the current limiter and frequency limiter is first established in this paper. Secondly, the influence of key factors on the transient stability of grid-connected VSC systems with limiters is investigated to conclude the stability forms. The results show that there is no monotonous tendency of influence between transient stability characteristics and key factors, which is significantly different from the results of ignoring limiters. Additionally, due to the limiter, two new stable forms appear, that is, the power oscillation of the peak clipping and the stabilization at the new stable equilibrium point caused by the switch between the control modes. The relevant work in this paper provides a reference to understand the stable features and dynamic behaviors of the renewable energy conversion system.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126809994","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10167375
Da Li, En Meng, Haixing Zheng, Tingzhe Pan
In the dual-carbon environment, the grid-connection of photovoltaic power stations has increasingly become a low-carbon and green means of new energy generation. However, the uncertainty of the output of photovoltaic power stations has brought an impact on the power grid that cannot be ignored. How to reasonably allocate reactive power is an important guarantee to alleviate this problem. Therefore, an SVG-capacitor joint configuration strategy for photovoltaic power station based on comprehensive cost evaluation is proposed in this paper. First, an equivalent model of the external power grid of photovoltaic power stations is established to simplify the calculation difficulty. Secondly, SVG-capacitor joint allocation strategy for photovoltaic power stations based on the comprehensive cost evaluation is proposed, which takes the minimum comprehensive annual cost of SVG-capacitor configuration as the optimization objective, and takes into account the constraints of grid operation safety, reactive power compensation demand, capacity constraints, etc. Finally, the particle swarm optimization algorithm is used to optimize the solution. The simulation results verify the effectiveness of this strategy
{"title":"SVG-Capacitor Joint Configuration Strategy for Photovoltaic Power Station Based on Comprehensive Cost Evaluation","authors":"Da Li, En Meng, Haixing Zheng, Tingzhe Pan","doi":"10.1109/CEEPE58418.2023.10167375","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10167375","url":null,"abstract":"In the dual-carbon environment, the grid-connection of photovoltaic power stations has increasingly become a low-carbon and green means of new energy generation. However, the uncertainty of the output of photovoltaic power stations has brought an impact on the power grid that cannot be ignored. How to reasonably allocate reactive power is an important guarantee to alleviate this problem. Therefore, an SVG-capacitor joint configuration strategy for photovoltaic power station based on comprehensive cost evaluation is proposed in this paper. First, an equivalent model of the external power grid of photovoltaic power stations is established to simplify the calculation difficulty. Secondly, SVG-capacitor joint allocation strategy for photovoltaic power stations based on the comprehensive cost evaluation is proposed, which takes the minimum comprehensive annual cost of SVG-capacitor configuration as the optimization objective, and takes into account the constraints of grid operation safety, reactive power compensation demand, capacity constraints, etc. Finally, the particle swarm optimization algorithm is used to optimize the solution. The simulation results verify the effectiveness of this strategy","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115993431","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166877
Tao Zhang, Songhao Yang, Hongyue Ma, Z. Hao
Impedance reshaping effectively solves the sub-/super-synchronous resonance (SSR) problem of grid-tied converters. However, such a method requires a white-box model, i.e., the control model and parameters of converters are known, which is difficult to achieve in practical scenarios. To address this issue, this paper proposes a novel impedance reshaping method for black-box converters. Firstly, the impedance method is used to analyze the stability of the grid-tied black-box converters. Then, a novel impedance reshaping method is proposed based on an additional control loop. This method is simple and easy-implemented. In the case of SSR, only the input voltage signal of the phase-locked loop (PLL) needs to be compensated by the additional control. Finally, various time-domain simulations verify the effectiveness and robustness of the proposed method.
{"title":"Sub-/Super-Synchronous Resonance Mitigation Method Based on Impedance Reshaping for Grid-Tied Black-Box Converters","authors":"Tao Zhang, Songhao Yang, Hongyue Ma, Z. Hao","doi":"10.1109/CEEPE58418.2023.10166877","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166877","url":null,"abstract":"Impedance reshaping effectively solves the sub-/super-synchronous resonance (SSR) problem of grid-tied converters. However, such a method requires a white-box model, i.e., the control model and parameters of converters are known, which is difficult to achieve in practical scenarios. To address this issue, this paper proposes a novel impedance reshaping method for black-box converters. Firstly, the impedance method is used to analyze the stability of the grid-tied black-box converters. Then, a novel impedance reshaping method is proposed based on an additional control loop. This method is simple and easy-implemented. In the case of SSR, only the input voltage signal of the phase-locked loop (PLL) needs to be compensated by the additional control. Finally, various time-domain simulations verify the effectiveness and robustness of the proposed method.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116067940","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166495
Hujun Li, F. Deng, Kaiying Li, Xiuli Wang, Jianan Si, Boning Yu, Chunzheng Tian, Meng Yang
In recent years, the construction level of electric vehicle (EV) charging infrastructure in China has been improved continuously. EV participating in the power market has been studied and the trading and energy scheduling mechanism of EV charging combined with storage has been proposed. The integrated PV-Storage-Charging (PSC) system proposed in this paper integrates the charging of EV and the energy scheduling of storage and PV output. At the same time, a two-stage market bidding and scheduling mechanism framework is designed in this paper to price EV charging at PSC station. EV charging is priced based on locational marginal pricing (LMP) and VCG method in day-ahead and real-time market, respectively. Cases studies are conducted to evaluate the energy scheduling performance of PSC station and proposed pricing method.
{"title":"Pricing Strategy of PV-Storage-Charging Station Considering Two-Stage Market Bidding","authors":"Hujun Li, F. Deng, Kaiying Li, Xiuli Wang, Jianan Si, Boning Yu, Chunzheng Tian, Meng Yang","doi":"10.1109/CEEPE58418.2023.10166495","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166495","url":null,"abstract":"In recent years, the construction level of electric vehicle (EV) charging infrastructure in China has been improved continuously. EV participating in the power market has been studied and the trading and energy scheduling mechanism of EV charging combined with storage has been proposed. The integrated PV-Storage-Charging (PSC) system proposed in this paper integrates the charging of EV and the energy scheduling of storage and PV output. At the same time, a two-stage market bidding and scheduling mechanism framework is designed in this paper to price EV charging at PSC station. EV charging is priced based on locational marginal pricing (LMP) and VCG method in day-ahead and real-time market, respectively. Cases studies are conducted to evaluate the energy scheduling performance of PSC station and proposed pricing method.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114483350","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 acceleration of the market-oriented reform of the power system, the construction and policy support of virtual power plant (VPP) projects have increased year by year and the participation in the electricity market, grid operation, and auxiliary service market of virtual power plants has been encouraged to promote the positive role of VPP in the rational allocation of user resources, increase operating income, maintain grid stability, and improve new energy consumption. However, the coordination method for VPP to participate in different markets has not been studied deeply and effectively yet. In this context, to coordinate the electricity market with diversified demand, aiming at the maximization of comprehensive revenue in diversified market-oriented decision-making of VPPs, an optimal operational strategy of the virtual power plant to participate in the joint markets of electricity spot and auxiliary service market is innovatively proposed. The case study on a certain VPP in Liandu district, Lishui city, Zhejiang province of China verifies the effectiveness and practicability of the proposed strategy.
{"title":"Optimal Operational Strategy of Virtual Power Plant Considering the Participation in the Joint Markets of the Electricity Spot and Auxiliary Service Market","authors":"Yancheng Ma, Yuge Chen, Jiajun Tang, Weiqiang Qiu, Xinyu Chen, Jianjun Li, Zhenzhi Lin","doi":"10.1109/CEEPE58418.2023.10165998","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10165998","url":null,"abstract":"With the acceleration of the market-oriented reform of the power system, the construction and policy support of virtual power plant (VPP) projects have increased year by year and the participation in the electricity market, grid operation, and auxiliary service market of virtual power plants has been encouraged to promote the positive role of VPP in the rational allocation of user resources, increase operating income, maintain grid stability, and improve new energy consumption. However, the coordination method for VPP to participate in different markets has not been studied deeply and effectively yet. In this context, to coordinate the electricity market with diversified demand, aiming at the maximization of comprehensive revenue in diversified market-oriented decision-making of VPPs, an optimal operational strategy of the virtual power plant to participate in the joint markets of electricity spot and auxiliary service market is innovatively proposed. The case study on a certain VPP in Liandu district, Lishui city, Zhejiang province of China verifies the effectiveness and practicability of the proposed strategy.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114491472","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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