Multiobjective Dynamic Economic Dispatch Amalgamating Solar PV and Wind Power Generation Using Hybrid SCA

To meet the rising power demand of the globe, the consumption of fossil-fuels is increasing day by day due to which fuel prices expanding. Along with this due to diminution of fossil fuel reserves and environmental impacts like emission of pollutants and global warming we are forced to use renewable energy sources incorporated with fossil fuel energy. Solar and wind energy are the growing renewable energy resources and they can produce so much power to fulfil the demand but due to their intermittent nature it is difficult to completely rely on renewable energy resources. In this paper, multi-objective dynamic economic dispatch problem coordinated thermal-wind-solar power scheduling has been proposed and Sine-Cosine Algorithm (SCA) is used to solve the optimization problem incorporating local search to reduce the overall operational costs, emission while allotting generation among the devoted units. The proposed method is implemented on the system for two test cases having 6 thermal generating units only and a solar PV unit and a wind plant connected to 6 thermal generating units respectively.