An efficient combination of demand side management and renewable energy resources

The main problem of the electricity sector is the storage of power, so demand needs continuous supply which changes with every movement of time. Demand goes high in some specific periods, and demand for another generating unit on the generation end. This increases the cost of power as well as decreases power quality. Here we use demand-side management on the demand side of the smart-grid system and lessen the peak hour load so as reduce the burden on the generation side. It improves the power quality as well. This paper is based on the load-shifting method of demand-side management. In this paper, a combination of genetic algorithm-based load-shifting techniques and renewable-energy compensation is used. MATLAB software is used for implementation. The results of this paper suggest that the demand-side management (DSM) approach achieves considerable energy savings and target curves. By maximising the utilisation of spinning reserves, this study aims to reduce maximum demand during peak hours.

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Publication Details

Journal
International Journal of Nonlinear Dynamics and Control
Published
2025-01-01
DOI
https://doi.org/10.1504/ijndc.2025.147485
Primary Topic
Smart Grid Energy Management
Type
article
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article

An efficient combination of demand side management and renewable energy resources

Prerna Gaur, Akanksha Srivastava
International Journal of Nonlinear Dynamics and Control
Smart Grid Energy Management
article

An efficient combination of demand side management and renewable energy resources

Prerna Gaur, Akanksha Srivastava
article en

Abstract

The main problem of the electricity sector is the storage of power, so demand needs continuous supply which changes with every movement of time. Demand goes high in some specific periods, and demand for another generating unit on the generation end. This increases the cost of power as well as decreases power quality. Here we use demand-side management on the demand side of the smart-grid system and lessen the peak hour load so as reduce the burden on the generation side. It improves the power quality as well. This paper is based on the load-shifting method of demand-side management. In this paper, a combination of genetic algorithm-based load-shifting techniques and renewable-energy compensation is used. MATLAB software is used for implementation. The results of this paper suggest that the demand-side management (DSM) approach achieves considerable energy savings and target curves. By maximising the utilisation of spinning reserves, this study aims to reduce maximum demand during peak hours.

International Journal of Nonlinear Dynamics and ControlVol. 2(4)
Netaji Subhas University of Technology (IN)
Affordable and clean energy
Openalex Percentile: Top 84%
Smart Grid Energy Management
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