高电压技术2017，Vol.43Issue(7)：2122-2130,9.DOI:10.13336/j.1003-6520.hve.20170628004
基于时序仿真和GA的风储系统储能容量优化配比
Optimized Proportion of Energy Storage Capacity in Wind-storage System Based on Timing Simulation and GA Algorithm
摘要
Abstract
The energy storage capacity in wind-storage system is one of the key factors influencing technical and economic performances of power system integrated with wind station.Therefore,we propose a new method for ordinating active power of wind station with load power fluctuation to optimize the storage capacity in wind-storage system based on timing simulation and GA algorithm.According to daily distribution regularity of load power and randomness of wind power,the energy storage charge and discharge control strategy to ordinate active power of wind station with load fluctuation of wind power integration is constructed.Thereby,with the aim of minimum energy storage capacity,considering the efficiency of charge and discharge of energy storage and SOC of storage installation and wind-storage composite output target,we establish an optimizing ratio mathematical model of energy storage capacity in wind-storage system by timing simulation;Furthermore,the above-mentioned timing stimulation model is solved with GA algorithm.Finally,some operation data of location power system from xinjiang province are used to validate the new method for optimizing ratio of energy capacity of grid with wind power,and the results confirm that method can better take into account technical and economic performance of system.关键词
风储系统/协调控制/充放电控制/容量配比/风电并网Key words
wind-storage system/coordination control/charge and discharge control/capacity configuration/wind power integration引用本文复制引用
袁铁江,车勇,孙谊媊,张龙,梅生伟..基于时序仿真和GA的风储系统储能容量优化配比[J].高电压技术,2017,43(7):2122-2130,9.基金项目
国家重点研发计划(2017YFB0903500) （2017YFB0903500）
国家自然科学基金(51367018) （51367018）
国家电网公司科技项目(5230JY170002).Project supported by National Key Research and Development Program of China(2017YFB0903500),National Natural Science Foundation of China (51367018),Science and Technology Project of SGCC(5230JY170002). （5230JY170002）
