Simultaneous Multi-area Economic-Environmental Load Dispatch Modeling in Presence of Wind Turbines by MOPSO

Multi-objective particle swarm optimization (MOPSO) algorithm was proposed in this paper to solve the load dispatch problem among thermal and wind turbines considering the environmental factors in multi-area power systems. The unpredictable nature of wind generations has resulted in the higher complexity of the economic load dispatch (ELD) problem. As the wind farm's generation is very difficult to predict, the extra cost during the evaluation of the ELD are taken into account as well. In the developed method, the storage and additional cost are defined in the objective function of the ELD problem, using the mean value of wind energy density. The operational constraints among multi-areas, including the transmission lines capacity limit and generation-demand balance constraints as well as the constraints of generation limit of generators are considered in the economic-environmental load dispatch (EELD) problem. The efficiency of the proposed method was evaluated based on the simulation results on IEEE 118 bus test system, considering twelve thermal power plants, two wind farms and three areas.