A Comprehensive Review on Demand Side Management in Renewable En-ergy Systems: Optimization Ap-proaches and Challenges

Abstract

There is a major percentage of the Indian population that resides in villages, some of which are situated in rural places that are not linked to the grid. In spite of the fact that it is neither feasible nor cost-effective to supply these settlements with electricity, an autonomous integrated hybrid renewable energy system (IHRES) could be a feasible substitute. Through efficient storage use with RES, demand side management (DSM) aims to reduce electricity costs, emission rate and peak demand. The primary topics covered in this review article are the general operating modes of DSM, the energy production profile, storage, and utilization, and lastly, the benefits gained from implementing DSM, optimization methods, and related difficulties. Through a series of scenarios, it investigates how DSM is changing in rural areas, smart and conventional grids, and hybrid renew-able energy systems. The optimization of DSM extends beyond the commonly used frameworks in the rapidly growing field of smart grids (SG). Concerns about privacy, energy transmission, distribution, and resource us-age, as well as tariff control, make DSM implementation difficult in SG. Safeguards for the confidentiality and integrity of DSM in SG have been put in place by a number of global organizations. While many algorithms have been used to optimize DSM problems, the convergence speed of hybrid algorithms makes them superior to single techniques. Research gaps and future priorities are outlined in the study's conclusion.