Economic Emission Dispatch with wind Farms using Opposition based Competitive Swarm Optimizer

With the increasing requisition of clean and green energy resources, the dispatch of a smooth electricity supply is a great challenge for system engineers. Thermal generating units consider the fuel and emission costs together while complying with economic load dispatch. On the other hand, green energy sources such as wind power plants reduce the cost of thermal power generators along with emission mitigation despite the wind speed uncertainties. Therefore in this paper, an economic emission dispatch optimization model is represented, which caters to the fuel cost, emission cost, and the wind power cost altogether. To solve such a complex optimization problem, a new algorithm called the Opposition- based Competitive Swarm Optimizer (OCSO) algorithm is used in this work. Three-fourths of the total swarm is updated in each iteration of the OCSO algorithm, which is a modified version of the Competitive Swarm Optimizer algorithm (CSO). The OCSO has the ability to improve the exploration property of the original CSO algorithm most effectively. To prove the efficacy of OCSO, several case studies are conducted and analyzed. The convergence results demonstrate the more extraordinary exploration ability of the algorithm in comparison to others.