基于改进灰狼算法的并网型微电网容量优化研究

Research on Capacity Optimization of Grid-connected Microgrid Based on Improved Gray Wolf Algorithm

为了合理配置并网型微电网中各分布式电源的容量,降低微电网的经济成本,对并网型微电网的容量优化配置方法进行了研究。首先,建立了并网型微电网中各单元的数学模型,并提出了微电网的运行策略;其次,综合考虑系统的年均投资成本、年运行维护成本、置换成本、年停电补偿费、年购电费用、年运行收益和设备报废回收效益等因素建立目标函数,并结合微电网的功率平衡约束、设备的运行约束及与主网的交换功率约束来构建并网型微电网的容量优化配置模型;再次,采用改进的灰狼算法对优化模型进行求解;最后,通过仿真分析验证了所提出模型的有效性。

In order to rationally allocate the capacity of distributed power sources in grid-connected microgrid and reduce the economic cost of microgrid,the optimal capacity allocation method of grid-connected microgrid is studied.The mathematical model of each unit in grid-connected microgrid is established,and the operation strategy of microgrid is put forward.Secondly,the objective function is established by comprehensively considering the system's average annual investment cost,annual operation and maintenance cost,replacement cost,annual power outage compensation fee,annual power purchase cost,annual operation income and equipment scrap recovery benefit,and combining the power balance constraints of the microgrid,the operation constraints of the equipment and the exchange power constraints with the main network to build the capacity optimization model of the grid-connected microgrid.Then the improved gray Wolf algorithm was used to solve the optimization model.Finally,the effectiveness of the proposed model is verified by simulation analysis.