Multi-Objective Generation Scheduling of Hydro-Thermal System Incorporating Energy Storage With Demand Side Management Considering Renewable Energy Uncertainties

Atmospheric pollutants mainly produced by thermal power plants compel to utilize green energy sources such as renewable and hydroelectric in a system. But due blinking behavior of very high rate outages, it has detrimental consequence on overall grid. Demand side management (DSM) programs decrease cost improve system security. This study proposes non-dominated sorting genetic algorithm-II (NSGA-II) solve multiobjective scheduling generation for fixed head hydro-thermal integrating pumped hydro storage taking into consideration the outage uncertainty presence DSM. Numerical results test attained using proposed technique were compared with strength pareto evolutionary algorithm 2 (SPEA 2).