基于MOFA算法的微网系统优化调度

针对大规模电动汽车入网给微电网带来的影响，在并网运行方式下，以微电网运行成本、环境治理成本和电动汽车用户充放电成本的综合效益为目标，考虑电动汽车的时空分布特性，提出了分时电价下电动汽车有序充放电的调度方案。建立了包含风、光、储、燃料电池、微型燃气轮机、电动汽车及负荷的微网系统多目标经济调度模型，采用多目标萤火虫（MOFA）算法对调度模型进行求解，并与多目标粒子群优化（MOPSO）算法进行对比。基于MATLAB平台，以某典型微电网系统为例进行仿真，调度周期为一天，算例结果验证了所提方案、模型和算法的有效性。

Optimal dispatch of micro grid system based on multi objective firefly algorithm

For the impact of large scale electric vehicles connected to the micro grid, in parallel operation mode,the comprehensive optimization of operation cost of micro grid,environmental management cost and charging and discharging cost of electric vehicle user is selected as the objective function,considering the time space distribution characteristics of electric vehicles, a scheduling scheme for orderly charging and discharging of electric vehicles under time sharing electricity price is proposed. A multi objective economic scheduling model for micro grid system including wind, light, storage, fuel cell, micro gas turbine, electric vehicle and load was established, multi objective firefly algorithm was used to solve the scheduling model and compared with multi objective particle swarm optimization algorithm.Based on the MATLAB platform, a typical micro grid system is taken as an example for simulation,the scheduling period is one day,the results of an example verify the validity of the proposed scheme, model and algorithm.