不同场景下的光蓄微电网调度策略  

Dispatch Strategies of PV-Battery Microgrid in Different Scenarios

作　　者：王成山[1] 洪博文[1] 郭力[1] 

机构地区：[1]智能电网教育部重点实验室(天津大学),天津市南开区300072

出　　处：《电网技术》2013年第7期1775-1782,共8页Power System Technology

基　　金：国家重点基础研究发展计划项目(973项目)(2009CB219700);国家863高技术基金项目(2011AA05A107);国家电网公司科技项目(ZDK/GW021-2012)~~

摘　　要：将日前动态经济调度方法应用于由光伏发电系统和蓄电池组成的微电网,使其运行成本最小化。采用了计及充放电功率限制这一动态非线性约束的简化动力学蓄电池模型,应用改进的多种群实编码遗传算法进行求解,改进算法中种群个体可根据充放电功率进行修正,同时目标函数中增加了蓄电池荷电状态的惩罚项。利用微电网算例,在不同折旧成本和电价的场景下,对动态经济调度与其他控制策略进行了比较。结果验证了所提方法的有效性,同时帮助确定其适用范围。The method of day-ahead dynamic economic dispatch is applied to the microgrid composed of photovoltaic（PV） generation system and batteries to make its operational cost minimized.A simplified kinetic battery model,in which the dynamic non-linear constraints of charge/discharge power limits are considered,is adopted and solved by improved multi-population real-coded genetic algorithm（RCGA）.The individuals in the improved algorithm can be modified according to charge/discharge power.Meanwhile,the battery’s state of charge（SOC） is added into the objective function.Taking a microgrid for case study,the dynamic economic dispatch is compared with other dispatch strategies under scenarios with different depreciation cost and power rates.The results verify the effectiveness of the dynamic economic dispatch,and help determine its proper scope of utilization.

关 键 词：光蓄微电网 遗传算法 动态经济调度 折旧成本 电价 荷电状态 

分 类 号：TM74[电气工程—电力系统及自动化]