基于多目标粒子群算法的微电网优化调度

提出了一种经济与环保相协调的微电网优化调度模型，针对光伏电池、风机、微型燃气轮机、柴油发电机以及蓄电池组成的微电网系统的优化问题进行研究，在满足系统约束条件下，建立了包含运行成本、可中断负荷补偿成本以及污染物处理费用的微电网多目标优化调度模型，并利用多目标粒子群算法（MOPSO）求解微电网优化调度问题，仿真结果表明该模型对微电网优化调度具有一定的指导作用。

Optimal Dispatch of Microgrid Based on Mult-Objective Particle Swarm Optimization

This paper proposes an optimal dispatch model of the microgrid well coordinated with the economic development and environmental protection. In view of the optimal problem of the mierogrid system which is composed of photovoltaie cells, wind turbine, micro turbine, diesel generator and battery, the paper establishes a multi-objective optimal dispatch model containing the operation cost, the compensation cost of the interruptible load and pollution disposal cost under the system＇s constraint conditions. In addition, the multi-objective particle swarm optimization （MOPSO） is used to solve the problem of optimal dispatch in the microgrid. The simulation results show that the optimal dispatch model of microgrid is of significant guidance.