Unified Modeling for Adjustable Space of Virtual Power Plant and Its Optimal Operation Strategy for Participating in Peak-shaving Market

被引：0
|
作者：
Wang W. [1 ]
Liu H. [2 ]
Ji Y. [2 ]
机构：
[1] China Electric Power Research Institute, Beijing
[2] State Grid Shanghai Energy Interconnection Research Institute Co., Ltd., Shanghai
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2022年 / 46卷 / 18期
关键词：
adjustable space; ancillary service; dynamic robustness; peak-shaving; virtual power plant;
D O I：
10.7500/AEPS20220415001
中图分类号：
学科分类号：
摘要：
The regulation ability of virtual power plants is different with different resource aggregations, which makes it difficult for virtual power plants to participate in auxiliary service decision-making and affects the safe and reliable operation of the power grid. In order to solve this problem, the peak-shaving optimal operation strategy based on the unified model for adjustable space of the virtual power plant is proposed. Firstly, the output models of semi-controllable resources and fully controllable resources are established according to different characteristics of internal resources in the virtual power plant. Furthermore, an adjustable space model for virtual power plants is proposed, which can evaluate the peak-shaving capacity of virtual power plants with different resource aggregations. Finally, in order to verify the effectiveness of the adjustable space model, the day-ahead optimal scheduling model of virtual power plants is established for the peak-shaving auxiliary service market, and the column-and-constraint generation algorithm is used in the dynamic robust optimization to solve it. The example results show that the proposed adjustable space of the virtual power plant can adapt to the changes brought by different aggregation methods of the virtual power plant, and the operation strategy can reasonably balance the operation safety and economy of the virtual power plant for participating in the peak-shaving auxiliary service. © 2022 Automation of Electric Power Systems Press. All rights reserved.
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页码：74 / 82
页数：8
相关论文
共 23 条
  • [1] XI Jinping, Proposal of the CPC Central Committee on formulating the 14th Five-Year Plan for national economic and social development and the long-term goals for 2035, Economy, 12, pp. 16-20, (2020)
  • [2] LIU Jizhen, LI Mingyang, FANG Fang, Et al., Review on virtual power plants, Proceedings of the CSEE, 34, 29, pp. 5103-5111, (2014)
  • [3] AI Qian, Virtual power plants: the ultimate configuration of the Energy Internet, (2018)
  • [4] CARDOSO G, STADLER M, MASHAYEKH S, Et al., The impact of ancillary services in optimal DER investment decisions, Energy, 130, pp. 99-112, (2017)
  • [5] CHEN Qixin, FANG Xichen, GUO Hongye, Et al., Progress and key issues for construction of electricity spot market, Automation of Electric Power Systems, 45, 6, pp. 3-15, (2021)
  • [6] YANG Zijun, JING Jiangping, DENG Xing, Et al., Discussion on virtual power plant participating in ancillary service market of Jiangsu power grid, Power Demand Side Management, 23, 4, pp. 90-95, (2021)
  • [7] Work plan for improving the compensation (market) mechanism of electric auxiliary services
  • [8] SHI Puxin, SHI Peiran, WANG Peiwen, Et al., Analysis and operation evaluation of power peak-shaving ancillary service market in North China, Automation of Electric Power Systems, 45, 20, pp. 175-184, (2021)
  • [9] LIU Siyuan, AI Qian, ZHENG Jianping, Et al., Bi-level coordination mechanism and operation strategy of multi-time scale multiple virtual power plants, Proceedings of the CSEE, 38, 3, pp. 753-761, (2018)
  • [10] TIAN Liting, CHENG Lin, GUO Jianbo, Et al., A review on the study of management and interaction mechanism for distributed energy in virtual power plants, Power System Technology, 44, 6, pp. 2097-2108, (2020)
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