An application of craziness based shuffled frog leaping algorithm for wind-thermal generation dispatch considering emission and economy

Wind power is developing rapidly all around the world and at present total installed capacity is about 120,000 MW. Due to continuous improvements in turbine efficiency and increasing fuel prices, wind power is becoming economically competitive compared to conventional power generation. Combined economic/emission dispatch (CEED) involves the simultaneous optimization of two conflicting objectives namely fuel cost and emission. This paper proposes an application of four different types of optimization algorithms such as particle swarm optimization based on constriction factor, craziness based particle swarm optimization, shuffled frog leaping and craziness based shuffled frog leaping algorithm (CRSFL) to an environmental and economic dispatch problem considering wind integrated power system. The necessary operating point that gives the best compromise solution between cost and emission is determined for 10-unit and 40-unit system with valve point effect and different penetration levels of wind power. The test results consistently show that the CRSFL algorithm yields best results compared to other evolutionary algorithms.