Multi-station fusion power supply system to assist peak regulation strategy

被引:0
|
作者
Chen Y. [1 ]
Jin W. [1 ]
Wang W. [1 ]
Li H. [1 ]
Shi Z. [1 ]
机构
[1] Xingtai Power Supply Branch, State Grid Hebei Electric Power Co., Ltd., Xingtai
基金
中国国家自然科学基金;
关键词
Energy storage; Multi-station integration; Peak regulation; Power supply area; Self-discipline operation;
D O I
10.19783/j.cnki.pspc.191538
中图分类号
学科分类号
摘要
Based on the idea of global coordination and regional autonomy, the regulation strategy of a multi-station integrated power supply system for assisting peak regulation and autonomous operation is proposed to meet the demand of power grid peak regulation and reserve capacity with large-scale interconnection of distributed generation. It builds relevant technical indicators such as peak regulation and standby to quantify the "self-discipline ability" that a power supply area should have. According to the demand of peak regulation in a power supply area, a variety of autonomous peak regulation control strategies for an energy storage station in the power supply area are proposed. In order to meet the standby demand of peak regulation in the main network and realize "self-regulated" operation in the power supply area, a self-regulated control strategy of energy storage peak regulation is combined to optimize the configuration. A capacity optimization configuration model of an energy storage station in the multi-station fusion power supply area is established. A robust optimization joint endpoint scenario screening method is used to construct a typical power supply region operation scenario and an intelligent optimization algorithm is used to solve the model. Finally, a typical implementation case of multi-station fusion is analyzed and the results prove the effectiveness of the proposed method. © 2020, Power System Protection and Control Press. All right reserved.
引用
收藏
页码:57 / 65
页数:8
相关论文
共 25 条
  • [1] YANG Zhenquan, XIANG Ji, LI Yanjun, Et al., Active control strategy of distributed generations for utility grid cooperation in distribution network, Proceedings of the CSEE, 39, 11, pp. 3176-3185, (2019)
  • [2] GAO Yajing, XUE Fushen, YANG Wenhai, Et al., Optimal operation modes of photovoltaic battery energy storage system based power plants considering typical scenarios, Protection and Control of Modern Power Systems, 2, 4, pp. 397-406, (2017)
  • [3] WANG Bo, YU Yinshu, HE Xu, Et al., An optimization model for restructuring distribution network considering grid-connected security constraints of DGs, Power System Protection and Control, 47, 22, pp. 67-77, (2019)
  • [4] DABRA V, PALIWAL K K, SHARMA P, Et al., Optimization of photovoltaic power system: a comparative study, Protection and Control of Modern Power Systems, 2, 1, pp. 29-39, (2017)
  • [5] JIA Yulong, MI Zengqiang, LIU Liqing, Et al., Comprehensive optimization method of capacity configuration and ordered installation for distributed energy storage system accessing distribution network, Electric Power Automation Equipment, 39, 4, pp. 1-7, (2019)
  • [6] DING Ming, FANG Hui, BI Rui, Et al., Optimal siting and sizing of distributed PV-storage in distribution network based on cluster partition, Proceedings of the CSEE, 39, 8, pp. 2187-2199, (2019)
  • [7] DU Peng, MI Zengqiang, JIA Yulong, Et al., Optimal placement and capacity of distributed energy storage in distribution system based on the sensitivity variance of network loss, Power System Protection and Control, 47, 6, pp. 103-109, (2019)
  • [8] FU Aihui, ZHANG Feng, ZHANG Li, Et al., The energy storage configuration strategy of PV power grid with high permeability is considered, Automation of Electric Power Systems, 42, 15, pp. 53-66, (2018)
  • [9] WEN Fengrui, LI Huaqiang, WEN Xiangyu, Et al., Planning for energy storage system considering risk of inadequate flexibility in active distribution network, Power System Technology, 43, 11, pp. 3952-3960, (2019)
  • [10] LI Yaowang, MIAO Shihong, LIU Junyao, Et al., Optimal allocation of energy storage system in PV microgrid considering uncertainty of demand response, Power System Protection and Control, 46, 20, pp. 69-77, (2018)