基于储能调度模式的微电网不平衡功率平抑两阶段优化方法

Two Stage Optimization Method for Unbalanced Power Smoothing in Microgrid Based on Energy Storage Scheduling Mode

依据2阶段优化理论提出基于储能调度模式的微电网不平衡功率平抑方法,第一阶段以微电网综合平抑成本最小为目标,计及必要约束条件,其中储能电站不平衡功率平抑量通过储能充放电虚拟成本收益模型制定;第二阶段以第一阶段制定的储能电站不平衡功率平抑量为基础,制定储能电站内各个储能的不平衡功率分配方案。通过引入群体反向学习机制和混沌搜索对基本帝国竞争算法进行改进,并采用改进帝国竞争算法对所建立的模型进行求解。最后通过一个算例验证了所提方法能够在有效维持微电网系统功率平衡的前提下,降低不平衡功率平抑成本,具有较好的经济效益。

The paper propose an unbalanced power smoothing method for microgrid based on energy storage scheduling mode according to two-stage optimization theory. In the first stage, the objective is to minimize the overall cost of the unbalanced power smoothing in the microgrid by considering necessary constraints, including the amount of the unbalanced power smoothing in energy storage station determined by the virtual cost and benefit model for the charging and discharging process of the energy storage. In the second stage, the unbalanced power allocations are given for energy storage on the basis of the amount of the unbalanced power smoothing in the first stage. Furthermore, basic imperial competition algorithm is improved by introducing group reverse learning mechanism and chaotic searching, and the proposed model is solved with the improved imperial competition algorithm. Finally, an example is given to verify that the proposed method can effectively maintain the power balance in the microgrid, reduce the cost of the power smoothing, and has good economic benefits.