DEMAND SIDE MANAGEMENT STRATEGIES IN RESIDENTIAL LOAD WITH RENEWABLE ENERGY INTEGRATION: A BRIEF OVERVIEW

Author:

Paul Ward Ul Hijaz1,Shahzad Siddiqui Anwar2,Kirmani Sheeraz3

Affiliation:

1. Research Scholar, Jamia Millia Islamia, New Delhi

2. Professor, Jamia Millia Islamia

3. Associate Professor, Aligrah Muslim University, Aligrah

Abstract

In conventional power grids, the supply and demand sides of electricity are largely separate, and the operations side is the only one who has access to grid monitoring data. Power networks need to be able to meet electrical demand on a regular basis in order to remain stable, which necessitates planning and communication from both parties. Electric power generation and supply must advance if grid stability, security, and effectiveness are to be improved. The smart grid concept makes the next-generation electricity network smarter and more intelligent by enabling information flow in both ways and active engagement from all connected parties. Modern technologies must be created in order to address issues with economic growth, energy security, and energy sustainability. Demand-side management (DSM) gives consumers and utilities the power to make informed choices about how they use energy, changing the load profiles and lowering peak demands in the smarter distribution network. DSM has been employed recently as a method to maintain a balance between increasing energy needs and consumption.

Publisher

World Wide Journals

Subject

Visual Arts and Performing Arts,Communication,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Transportation,Cardiology and Cardiovascular Medicine,Molecular Biology,Molecular Biology,Structural Biology,Catalysis,General Engineering,Physical and Theoretical Chemistry,Process Chemistry and Technology,Catalysis,Process Chemistry and Technology,Biochemistry,Bioengineering,Catalysis,Cell Biology,Genetics,Molecular Biology,General Medicine

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1. Optimal Rescheduling for Transmission Congestion Management Using Intelligent Hybrid Optimization;Communications in Computer and Information Science;2023-12-03

2. Automatic load sharing of Transformers using Fuzzy Logic in a distributed generation environment;2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON);2023-05-01

3. Optimal Allocation of V2G Stations in a Microgrid Environment: Demand Response;2023 International Conference on Power, Instrumentation, Energy and Control (PIECON);2023-02-10

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