分时电价下用户侧光储系统优化控制策略

Optimal control strategy of customer-side optical storage system under time-of-use electricity price

摘要:

针对光伏发电不稳定所导致的光伏电能浪费,以及储能电池充放电不合理导致电池损耗成本过高等问题,在分时电价的背景下,提出一种光储系统优化控制策略。首先,建立光储系统并网模型,结合用户用电特征、光伏出力与分时电价情况,在满足光储系统功率平衡与储能电池约束条件下,综合考虑光储系统收益和储能电池损耗成本。采用模糊处理法将多目标问题转为单目标问题求解,以用户的经济效益最高为最终优化目标,构建净收益优化模型,并利用改进的灰狼算法进行优化求解。最后,通过仿真结果表明,所提策略在分时电价情况下,为用户带来了较高的经济效益。

Abstract:

In view of the waste of photovoltaic power caused by unstable photovoltaic power generation and the excessively high battery cost caused by unreasonable charging and discharging of energy storage batteries. In the context of time-of-use electricity prices, an optimized control strategy for photovoltaic storage systems is proposed. First, establish a grid-connected model of the optical storage system. Combining user power consumption characteristics, photovoltaic output and time-of-use electricity prices. Comprehensively considering the revenue of the optical storage system and the loss of energy storage batteries while meeting the power balance of the optical storage system and the constraints of energy storage batteries cost. On this basis, the fuzzy processing method is used to turn the multi-objective problem into a single-objective problem. Taking the user"s highest economic benefit as the ultimate optimization goal, construct a net income optimization model. Then, the improved gray wolf algorithm is used to optimize the solution. Finally, the simulation results show that the proposed strategy brings higher economic benefits to users in the case of time-of-use electricity prices.