Optimal Scheduling and Operation of Ess in Grid Connected Industrial Complex Using Genetic Algorithm

Abstract

Prosumer is the one who generates energy and consumes energy to meet the loads. Prosumer faces many problems during generation of energy because of using conventional sources such as coal, petroleum, gas etc. Use of conventional sources will increase in production cost, and also they are non-renewable. They can be replaced with non-conventional sources or renewable energy sources such as solar, wind, tidal etc, usage of these sources will reduce production cost. Even though they replace conventional sources, they are weather, climate dependent. To monitor these sources and to operate in a effective way, the quadratic programming is replace with GA. This GA is a real time monitor, and automatically operates the sources based on the climatic conditions. In this we are implementing GA to improve the prosumer profits by reducing production cost. It also minimizes the operation costs and prevents the deterioration of battery.