基于改进布谷鸟算法的微网储能系统控制策略研究  

Study on the control strategy of micro grid energy storage system based on modified cuckoo search algorithm

作　　者：曾鸣[1,2] 段金辉[1,2] 刘英新[2] 李蓓[3] 

机构地区：[1]华北电力大学新能源电力系统国家重点实验室,北京102206 [2]华北电力大学经济与管理学院,北京102206 [3]中国电力科学研究院,北京102206

出　　处：《广西大学学报（自然科学版）》2015年第6期1414-1423,共10页Journal of Guangxi University（Natural Science Edition）

基　　金：国家自然科学基金资助项目(71271082);中央高校基本科研业务费专项资金(2014XS53)

摘　　要：为优化微网运行,以保障电力供需平衡并促进可再生能源消纳,对含储能的并网型微网的电池储能系统控制策略进行研究。首先,构建基于滚动时域控制的微网储能系统控制策略混合整数线性规划(mixed integer linear programming,MILP)模型;其次,采用改进的布谷鸟(modified cuckoo search,MCS)算法对模型进行计算;最后,进行算例分析,研究最优控制策略下微网信号与电池信号的特征,并对算法的收敛性与其他算法进行比较,以验证模型和算法的有效性。研究结果表明,不同的微网运行目标会影响储能系统控制策略,进而影响微网的信号特征;MCS算法在收敛速度、计算时间和经济性上较传统的布谷鸟(cuckoo search,CS)算法和差分进化(differential evolution,DE)算法有显著提高。To optimize the running of micro grid to guarantee the supply and demand balance of electricity,and to promote the utilization of renewable energy. The control strategy of micro grid energy storage system is studied. Firstly,the mixed integer linear programming model is established based on the receding horizon control. Secondly,the modified cuckoo search algorithm is proposed to calculate the model. Finally,a case study is carried out to study the signal characteristic of micro grid and batteries under the optimal control strategy,and the convergence of the modified cuckoo search algorithm is compared with others to verify the validity of the proposed model and method.The results show that,different micro grid running targets can affect the control strategy of energystorage system,which further affect the signal characteristics of the micro grid. Meanwhile,the convergent speed,computing time and the economy of the modified cuckoo search algorithm are improved compared with the traditional cuckoo search algorithm and differential evolution algorithm.

关 键 词：微网 电池储能系统 MILP MCS 控制策略 

分 类 号：TM727[电气工程—电力系统及自动化] TK02[动力工程及工程热物理]