摘要
为使储能系统(energy storage system,ESS)更好地辅助传统调频机组参与电网的自动发电控制(automatic generation control,AGC),提出了一种基于动态仿真滚动优化和多目标网格自适应搜索(multi-objective mesh adaptive direct search,MOMADS)算法的优化控制策略。该策略基于对系统功率扰动的预测数据,并结合动态仿真结果和MOMADS算法对未来1min时间段内AGC指令的最优分配比例进行滚动优化计算,使系统AGC性能达到最优。算例分析表明,该策略能够有效提高系统的AGC性能,稳定系统频率,维持ESS的SOC在较为理想的区间,并且具有较强的鲁棒性。
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.
作者
路小俊
伊建伟
李炎
LU Xiaojun;YI Jianwei;LI Yan(NARI Group Corporation,Nanjing 211000,Jiangsu Province,China;CHD Power Plant Operation Co.,Ltd.,Xicheng District,Beijing 100031,China)
出处
《电网技术》
EI
CSCD
北大核心
2019年第6期2116-2124,共9页
Power System Technology
关键词
自动发电控制
储能系统
优化控制策略
非劣解排序
网格自适应搜索
automatic generation control
energy storage system
optimal control strategy
non-dominated sorting
mesh adaptive direct search
