Optimal generation scheduling of fixed head hydrothermal system with demand-side management considering uncertainty and outage of renewable energy sources

Abstract

Due to the rising infiltration of renewable energy sources, it is indispensable to investigate its brunt on the optimal power generation scheduling. However, the highly intermittent nature of renewable energy sources and their higher rate of outages may harm the entire grid. This work recommends fast convergence evolutionary programming (EP) with a time-varying mutation scale (FCEP_TVMS) for solving fixed head hydrothermal scheduling incorporating pumped-storage-hydraulic unit with demand-side management considering the uncertainty and outage of renewable energy sources. Simulation outcomes of the test system have been matched up to those acquired by fast convergence EP, colonial competitive differential evolution and heterogeneous strategy particle swarm optimisation. It is seen from the comparison that the recommended FCEP_TVMS technique can give a better-quality solution.