基于改进布谷鸟算法的微电网源-荷-储功率优化调度

Source-load-storage Power Optimization Scheduling of Microgrid Based on Improved Cuckoo Algorithm

为实现微电网源网荷储的最优匹配,提出了一种计及需求侧响应的微电网有功功率调度模型。首先综合考虑系统运行约束、蓄电池运行约束和引入负荷响应补偿的用户满意度,以微电网经济性和环保性最优为目标函数,构建了包含风光发电、储能单元和负荷的微电网功率调度模型。进一步改进了布谷鸟搜索算法,并在4个典型场景下求解所提出的调度模型。通过算例验证模型和所提方法的有效性,结果表明:负荷响应与储能可以有效降低微网运行成本,通过可移负荷跨时段平移,实现负荷削峰填谷;同时,模型能根据不同的满意度要求提供相应的经济优化调度方案;此外,通过对比粒子群算法与布谷鸟算法,进一步验证了改进的布谷鸟算法性能更优。

In order to optimize the load and storage of microgrid,a microgrid active power scheduling model with demand-side response is proposed.Firstly,considering the system operation constraint,battery operation constraint and user satisfaction with load response compensation,and taking the optimal economy and environmental protection of the microgrid as the objective function,the power scheduling model of the microgrid including wind power generation,energy storage unit and load is constructed.The cuckoo search algorithm is further improved,and the proposed scheduling model is solved under 4 typical scenarios.The effectiveness of the model and the proposed method is verified through numerical examples,and the results show that load response and energy storage can effectively reduce the operating cost of microgrid,and load peaking and valley filling can be realized by shifting load across time periods.At the same time,the model can provide corresponding economic optimal scheduling schemes according to different satisfaction requirements.In addition,by comparing PSO with cuckoo algorithm,it is further verified that the improved cuckoo algorithm has better performance.