Optimal Control Strategy of AGC With Participation of Energy Storage System Based on Multi-objective Mesh Adaptive Direct Search Algorithm

被引：0
|
作者：
Lu X. [1 ]
Yi J. [2 ]
Li Y. [1 ]
机构：
[1] NARI Group Corporation, Nanjing, 211000, Jiangsu Province
[2] CHD Power Plant Operation Co., Ltd., Xicheng District, Beijing
来源：
Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 06期
关键词：
Automatic generation control; Energy storage system; Mesh adaptive direct search; Non-dominated sorting; Optimal control strategy;
D O I：
10.13335/j.1000-3673.pst.2018.2068
中图分类号：
学科分类号：
摘要：
In order to make energy storage system (ESS) participate in system automatic generation control (AGC), this paper presents an optimal control strategy based on dynamic simulation rolling calculation and multi-objective mesh adaptive direct search (MOMADS) algorithm. According to predicted power disturbance data, this strategy combines rolling calculation for the optimal distribution ratio of AGC instruction with the results of dynamic simulations and MOMADS algorithm. It could achieve the goal of ESS assisting traditional units to improve frequency control capacity of system. Simulations demonstrate that this strategy could improve AGC performance, stabilize system frequency, and maintain the SOC of ESS within an ideal range. In addition, the strategy has a strong robustness. © 2019, Power System Technology Press. All right reserved.
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页码：2116 / 2124
页数：8
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