基于PSO的并网微电网优化运行

Optimal Operation of Grid-Connected Microgrid Based on PSO

针对微电网并网运行下的优化运行问题,综合考虑含微电网经济成本、环境成本及微电网与大电网交易成本,使系统的总运行成本最低,建立了微电网多目标优化模型。考虑并网微电网运行约束条件,采用粒子群算法对模型进行求解,实现对各微电源负荷的优化分配。以某地的实际数据为例,对所提模型进行仿真,验证了提出的负荷优化调度模型可有效降低发电的综合成本。

In order to optimize the operation of micro-grid in grid-connected operation,a multi-objective optimization model of micro-grid is established by considering the economic cost,environmental cost and transaction cost of micro-grid and large-grid to minimize the total operating cost of the system.Considering the operation constraints of grid-connected microgrid,the particle swarm optimization(PSO)algorithm is used to solve the model to realize the optimal load distribution of each micropower source.Taking the actual data in a certain area as an example,the proposed model is simulated.The example verifies that the proposed load optimal dispatching model can effectively reduce the comprehensive cost of power generation.