基于改进粒子群算法的微电网多目标优化调度

微电网优化调度作为智能电网优化的重要组成部分,对降低能耗、环境污染具有重要意义。微电网的发展目标既要满足电力供应的基本需求,又要提高经济效益和环境保护。对此,提出了一种综合考虑微电网系统运行成本和环境保护成本的并网模式下微电网多目标优化调度模型。同时采用改进的粒子群算法对优化模型进行求解。仿真结果表明,该模型可以有效降低用户的用电成本和环境污染,促进微电网的优化运行,并验证了改进的粒子群算法的优越性能。

Multi-objective Optimization Dispatching of Microgrid Based on Improved Particle Swarm Algorithm

As an important part of smart grid optimization,microgrid optimization dispatching is of great significance to reduce energy consumption and environmental pollution.The development goal of microgrid is not only to meet the basic needs of power supply,but also to improve economic benefits and environmental protection.In this paper,a multi-objective optimization dispatching model of microgrid under grid-connected mode is proposed,which comprehensively takes the operation cost of microgrid system and the cost of environmental protection into consideration.Meanwhile,an improved particle swarm optimization algorithm is proposed to seek the solution of the optimization model.The simulation results show that the model can effectively reduce the electricity cost and environmental pollution of users,promote the optimal operation of microgrid,and verify the superior performance of the improved particle swarm optimization algorithm.