计及蓄电池寿命的微网群优化调度模型

Optimal Scheduling Model of Multi-microgrid Group Considering Battery Life

为延长蓄电池使用寿命,减少微网群运行成本,构建了计及蓄电池寿命的微网群多目标优化调度模型.以包含风、光、储、柴、燃料电池的两个子微网所构成的交流微网群作为研究对象,采用改进后的加权吞吐量法构建蓄电池寿命模型并预测蓄电池寿命.综合考虑系统发电成本、环境污染成本和蓄电池寿命损耗成本,在满足负荷供需平衡、不同微源出力等约束条件下,通过加权系数法将多目标函数归一化为综合目标函数,并利用二元对比定权法确定权系数,把对蓄电池的重视程度分为较低、中等、较高三种情况.采用粒子群优化算法进行求解,并对三种情况下的微网群调度结果与蓄电池寿命损耗情况进行对比分析.结果表明,该优化调度模型可有效提高微网群经济效益,并减小蓄电池损耗,验证了该模型的有效性.

In order to prolong the battery life and reduce the operating cost of the multi-microgrid,a multi-objective dispatching optimization model for the multi-microgrid considering the life of the battery is constructed.Taking the AC multi-micrgrid composed of two microgrids including wind turbine,photovoltaic,storage,diesel engine and fuel cell as the research object,the improved weighted throughput method was used to build the battery life model and predict the battery life.Taking into account the cost of power generation,environmental pollution and battery life loss,under the constraint conditions of load supply and demand balance and output of different components,the multi-objective function was normalized to the comprehensive objective function by the weighted coefficient method,the weight coefficient was determined by binary contrast weighting method,and the attention to the battery was divided into low,medium and high levels.Finally,particle swarm optimization(PSO)algorithm was used to solve the problem,and the results of multi-microgrid scheduling and battery life loss under three conditions were compared and analyzed.The results show that the optimal scheduling model can effectively improve the economic benefits of the multi-microgrid and reduce the battery loss,and verify the effectiveness of the model.