Energy Management of MG Considering the Emission and Degradation Costs using A CAP-SA Optimization

This paper addresses the problem of Micro-Grid (MG) Energy Management (EM) Control with considering a reduction in the overall cost of MG in a residential grid. The main motivation for this paper is to study the impact of Emissions from Distributed generators (DGs) and deterioration of energy storage devices (ESDs) on the overall operating cost of MG. One of the optimization targets to reduce the overall cost of MG operation is the emission of DGs and the deterioration of ESDs. This article offers a solution to the optimization issue while takes into account numerous constraints, utilizing of the Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), Hybrid Population-Based Algorithm (PSOGSA), and the suggested Capuchin Search Algorithm (Cap-SA). The usefulness and validity of the suggested method are shown using the simulation results by two scenarios without and with considering emission and degradation costs. Cap-SA has been contrasted with many effective optimization techniques. The results reveal that Cap-SA is an effective technique for reducing overall MG costs as compared with PSO by 29.5% and 25.5% in the first and second scenarios, respectively.