CSOA-Based Residential Energy Management System in Smart Grid Considering DGs for Demand Response

Abstract

The increase in energy consumption in the residential sector due to overpopulation has adverse effects on the power system. The traditional power grid is unable to handle a sustainable supply of energy for consumers. The adoption of smart grid and distributed generation sources (DGs) can play a vital role to cope with this challenge of a constant supply of energy retainment. In this paper, DGs like photovoltaic (PV) and battery storage system (BSS) are considered with home to grid (H2G) mutual exchange for residential consumers energy cost reduction based upon real time price signal (RTP). The Crow Search Optimization Algorithm (CSOA) has been applied for energy management controller (EMC) in home energy management (HEM) system to schedule home appliances optimally. It is evident from the analysis that DGs and H2G are important in minimizing consumption cost by an effective HEM system. The results attained from the CSOA proves that the approach is useful for residential consumers. The energy consumption cost is minimized in the proposed scheme taking consumers priorities into consideration. The results are helpful to initiate different demand response programs in the context of both consumers and power system operator.