A Review of Market and Scheduling Characteristic Parameter Aggregation Algorithm of Different Types of Virtual Power Plants

被引：0
作者：
Chen H. [1 ]
Zhang H. [1 ]
Wang Z. [1 ]
机构：
[1] State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2023年 / 43卷 / 01期
关键词：
aggregation algorithm; distributed energy resource; high proportion of new energy; operating characteristic; virtual power plant;
D O I：
10.13334/j.0258-8013.pcsee.212744
中图分类号：
学科分类号：
摘要：
As the prerequisite for participating in the power market or grid scheduling, determining the overall operation characteristic of virtual power plant has been widely studied in recent years. Based on the principle and advantages and disadvantages of the algorithm, the operation characteristic aggregation method of distributed energy resource in virtual power plant is summarized in this paper. First, the difficulties of operation characteristic aggregation of distributed energy resource in virtual power plants are analyzed from the perspectives of economy and technology. Then, as technical virtual plants, the aggregation algorithms of adjustable power domain and adjustable power cost are introduced. Determination methods of bidding electricity price or bidding electricity quantity of commercial virtual power plants as price receiver and price maker are described in detail. Finally, combined with the development requirements of high proportion new energy system in the future, the research direction of operating characteristic aggregation algorithm of virtual power plant is prospected. © 2023 Chinese Society for Electrical Engineering. All rights reserved.
引用
收藏
页码：15 / 27
页数：12
相关论文
共 68 条
[61]  
AI Xin, ZHOU Shupeng, ZHAO Yuequn, Research on optimal operation and bidding strategy of power system with virtual power plants[J], Proceedings of the CSEE, 36, 23, pp. 6351-6362, (2016)
[62]  
ZHOU Bo, Lin LV, GAO Hongjun, Robust day-ahead trading strategy for multiple virtual power plants[J], Power System Technology, 42, 8, pp. 2694-2703, (2018)
[63]  
HU Diangang, LIU Yiran, WANG Kunyu, Joint bidding and distribution strategies for multiple commercial virtual power plants[J], Power System Technology, 40, 5, pp. 1550-1557, (2016)
[64]  
LI Lixing, MIAO Shihong, SUN Dandan, Dynamic games of complete information in active distribution network with multi-stakeholder participation[J], Transactions of China Electrotechnical Society, 33, 15, pp. 3499-3509, (2018)
[65]  
LIU Yixin, Li GUO, WANG Chengshan, Optimal bidding strategy for microgrids in electricity distribution market[J], Power System Technology, 41, 8, pp. 2469-2476, (2017)
[66]  
BARINGO A, BARINGO L, ARROYO J M．, Day-ahead self-scheduling of a virtual power plant in energy and reserve electricity markets under uncertainty[J], IEEE Transactions on Power Systems, 34, 3, pp. 1881-1894, (2019)
[67]  
YANG Jianlin, LV Ran, ZHANG Ming, Research on the internal resource aggregation strategy of virtual power plants based on different basic configurations[J], Power Demand Side Management, 22, 1, pp. 4-9, (2020)
[68]  
Long WANG, Wenchuan WU, Qiuyu LU, Optimal aggregation approach for virtual power plant considering network reconfiguration[J], Journal of Modern Power Systems and Clean Energy, 9, 3, pp. 495-501, (2021)
1234567