Microgrid Multi-objective Economic Dispatch Optimization

It is necessary to cut gaseous pollutant emission and develop energy-saving and emission-reducing in microgrid power generation scheduling.An optimization model of multi-objective economic dispatch combined heat and power(CHP) microgrid system considering heating income was presented.The microsources could provide both active and reactive power in the model.A typical microgrid consisting of a wind turbine,a photovoltaic,a storage battery,a micro turbine,a fuel cell,heating and electric loads was selected.Based on fuzzy optimization theory,the maximum fuzzy satisfaction degree method was adopted to transform the multi-objective optimization problem into a non-linear single-objective optimum problem.The improved genetic algorithm was used to optimize microsources’ active and reactive output,satisfaction degree of multi-objective optimization for grid-connected mode considering spot price.And the single-objective and multi-objective optimal values were comparatively analyzed.Simulation results show that multi-objective model was more precise than single-objective model in reflecting the actual operation characteristics of microgrid and the better environmental benefits could be reached at operation cost as low as possible in this model.So the validity of the proposed model and algorithm was proved.