An optimization method of load-shedding strategy based on a multi-user non-cooperative game model

被引：0

作者：

Zhang J. ^{[1
]}

Cui X. ^{[1
,2
]}

Xu J. ^{[1
,2
]}

Lei M. ^{[1
]}

Liu X. ^{[1
]}

Xue F. ^{[1
,2
]}

机构：

[1] NARI Group Corporation, State Grid Electric Power Research Institute, Nanjing

[2] State Key Laboratory of Smart Grid Protection and Control, Nanjing

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2020年 / 48卷 / 22期

关键词：

Frequency stability; Load shedding strategy; Non-cooperative game model; NSGA-II; Pareto optimal;

D O I：

10.19783/j.cnki.pspc.191542

中图分类号：

学科分类号：

摘要：

There is a need to balance the safety and stability of the power grid and the impact of load shedding in a fault condition. To achieve reduction of the control cost and reflect fair competition among load users, this paper proposes a load-shedding control optimization decision-making method to guarantee system frequency stability under high-power shortage scenarios. First, the factors affecting the effect of load shedding control are analyzed from three aspects: load priority, load loss cost and load shedding accuracy. On this basis, a non-cooperative game model of multi-load users with various load users as participants is constructed using the principle of game theory. Then the NSGA-II algorithm is used to solve the problem. By solving the multi-objective optimization model, the Pareto global optimal solution is obtained as the load-shedding optimization strategy. Finally, the effectiveness of the proposed model and its solution method is verified by a typical example of a regional power grid. © 2020, Power System Protection and Control Press. All right reserved.

引用

页码：127 / 134

页数：7

共 23 条

[21] WANG Tianjing, XU Kuo, ZHU Yongqiang, Economic dispatch strategy of active distribution network based on source-network-load multi-layer game, Power System Protection and Control, 46, 4, pp. 10-19, (2018)
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[23] YOU Jinkuo, HUANG Ting, HUANG Daoshan, Et al., Under-voltage load shedding optimization allocation for AC/DC hybrid system based on genetic algorithm, Power System Protection and Control, 44, 14, pp. 40-47, (2016)

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