A Nature Inspired Strategy for Demand Side Management in Residential Sector with Smart Grid Environment

Abstract

A major portion of global electricity consumption is done by residential sector. The nature of load variation is highly uncertain and has become a challenge to control thereby contributes a lot in peak load burden on utility. However, the concept of demand side management (DSM) enables the utility to manage the residential sector load in smart grid environment. The concept of DSM in the smart grid enables the ability to facilitate the flow of information between customers and utility that helps to rebuild the curve. In this paper, human behavior-based algorithm is developed to alter the load curve by managing residential sector load. The proposed algorithm is tested with Python coding and offers satisfactory results. The considerable reduction in peak load with increased utility earning is noticed with critical peak pricing scheme (CPP).