基于蝙蝠算法的局域电网恢复初期风储火多源无功协调控制策略  

Reactive Power Coordinated Control Strategy for Multi-Source Parallel Operation at Initial Stage of Local Grid Restoration Based on Bat Algorithm

作　　者：刘力卿 王伟[1] 张弛[1] 张鑫[1] 郗晓光[1] 郑晓明 LIU Liqing;WANG Wei;ZHANG Chi;ZHANG Xin;XI Xiaoguang;ZHENG Xiaoming(State Grid Tianjin Electric Power Research Institute,Tianjin 300384,China;State Key Laboratory of Renewable Energy Power System,North China Electric Power University,Baoding 071003,China)

机构地区：[1]国网天津市电力公司电力科学研究院,天津300384 [2]华北电力大学新能源电力系统国家重点实验室,河北保定071003

出　　处：《智慧电力》2019年第9期10-18,共9页Smart Power

基　　金：中央高校基本科研业务费专项资金资助项目(2018QN075)~~

摘　　要：为提高局域电网在恢复初期的电压稳定性,并为火电机组留有较大的有功发电能力,以启动更多电源,提出一种基于蝙蝠算法的风储火多源无功协调控制策略。通过分析风储火多源并列运行时的无功调控特性,建立了风储火多源并列运行多目标无功优化模型,采用加权法将多目标优化模型转换为单目标优化模型,并基于隶属度函数对权重系数进行自适应调整。在此基础上,利用蝙蝠算法对所建无功优化模型进行求解,并对优化模型出现不可行解时的处理机制进行了设计。最后,通过仿真验证了所提控制策略的有效性。In order to improve the voltage stability of local power grid in early recovery stage,and make the thermal power unit have larger active power generation capacity to start more power supply,a reactive power coordinated control strategy for multi-source parallel operation at the initial stage of local grid restoration based bat algorithm is proposed in this paper.Firstly,by analyzing the reactive power regulation characteristics of the system operated with wind farm,battery energy storage system and thermal power plant paralleled,a multi-objective reactive power optimization model of the system is established.Secondly,the multi-objective optimization model is transformed into a single-objective optimization model by weighting method,and the weight coefficients are adaptively adjusted based on the membership function.Then,the reactive power optimization model is solved with bat algorithm,and processing mechanism is designed when the optimization model doesn’t have a feasible solution.Finally,the feasibility of the proposed control strategy is verified by the simulation.

关 键 词：局域电网 恢复初期 多源 无功协调控制 蝙蝠算法 

分 类 号：TM933[电气工程—电力电子与电力传动]