光储微电网两阶段日前能量管理策略

Two-stage Day-ahead Energy Management Strategy for Microgrid With Photovoltaic Energy Storage

针对并网运行的光伏储能微电网,提出含集中控制、分布式控制的两阶段日前能量管理策略。第1阶段将微电网内所有分布式光储单元等效为1个集群,以微电网与大电网交互成本最小为目标建立经济优化调度模型,采用天牛群算法求解,得到储能单元总充放电功率和微电网购售电计划;第2阶段以储能单元充电损耗最小为优化目标建立分布式控制模型,采用“Leader-Follower”模式的增量成本一致性算法,将第1阶段计算得到的储能总功率进行实时优化分配,最终实现光储微电网的日前经济优化调度。算例分析结果验证了所提策略的有效性。

In allusion to the operation of grid-connected photovoltaic(abbr.PV)energy storage microgrid,a two-stage day-ahead energy management strategy containing centralized control and distributed control was proposed.In the first stage,all distributed PV storage units in the microgrid were equalized to one cluster and taking the minimized interaction cost between microgrid and large power grid was as the objective,an economic optimal dispatching model was established and solved by beetle swarm optimization(abbr.BSO)to obtain total discharging power of energy storage units and the power purchasing and selling planning of microgrid.In the second stage,taking the minimized charging loss of energy storage units as the objective a distributed control model was constructed,and by use of incremental cost consensus algorithm utilizing Leader-Follower mode the total energy storage power obtained from the calculation in the first stage was optimally allocated in real time.Finally,the day-ahead economic optimal dispatching of PV energy storage microgrid was realized.The effectiveness of the proposed strategy is verified by the results of analysis on computing example.