Dynamic Economic Dispatch Integrating Photovoltaic and Wind Generation Using GAMS Optimization

This research presents a strategy to optimize per-formance of the conventional power grid systems incorporating photovoltaic and wind energy sources using Dynamic Economic Load Dispatch (ELD). The proposed model tackles the uncertain and variable characteristics of wind and solar power outputs by accounting for disparities between observed and forecasted power outputs leveraging General Algebraic Modeling System (GAMS)-based optimization. The approach seeks to reduce the overall operational expenses of generators while effectively distributing power generation to committed units. This methodology is applied to a power system incorporating the solar and wind plant linked to 3 and 6 generating units, respectively. The outcomes of simulations carried out in GAMS substantiate the efficacy of the proposed approach in terms of least fuel cost. GAMS is a commercial package deployed to optimize the ELD problem effectively with an easy-to-use interface which efficiently finds the optimal results using non-linear programming solver.