Crisscross Optimization (CSO) Based Short-Term Conventional Generation Scheduling Incorporating Renewable Energy

Integration of renewable energy sources into conventional generation scheduling by considering economic and several environmental factors constitutes a multi-objective nonlinear optimization problem including several equality and inequality constraints. Main objective regarding generation scheduling is encountered in attaining least emission of pollutants at a reduced cost for short-term period maintaining the system constraints. This paper proposes a methodology of the short-term hydro-thermal-wind generation scheduling (ST-HTWGS) problem based on Crisscross optimization (CSO) algorithm. The simulation results indicate that proposed CSO algorithm provides a better solution regarding in terms of economy and at a reduced emission than the existing heuristic methods including various complex constraints of ST-HTWGS problems.