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A Simplified Smart Grid Simulation of Renewable Energy Integration and Battery Storage for Demand Response Optimization

by Paschal Chinedu Ohiri, Ogomaka Chrysogonus C., Mfonobong Eleazar Benson, Anyalewechi Chika J.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 22
Year of Publication: 2025
Authors: Paschal Chinedu Ohiri, Ogomaka Chrysogonus C., Mfonobong Eleazar Benson, Anyalewechi Chika J.
10.5120/ijca2025925323

Paschal Chinedu Ohiri, Ogomaka Chrysogonus C., Mfonobong Eleazar Benson, Anyalewechi Chika J. . A Simplified Smart Grid Simulation of Renewable Energy Integration and Battery Storage for Demand Response Optimization. International Journal of Computer Applications. 187, 22 ( Jul 2025), 20-22. DOI=10.5120/ijca2025925323

@article{ 10.5120/ijca2025925323,
author = { Paschal Chinedu Ohiri, Ogomaka Chrysogonus C., Mfonobong Eleazar Benson, Anyalewechi Chika J. },
title = { A Simplified Smart Grid Simulation of Renewable Energy Integration and Battery Storage for Demand Response Optimization },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2025 },
volume = { 187 },
number = { 22 },
month = { Jul },
year = { 2025 },
issn = { 0975-8887 },
pages = { 20-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number22/a-simplified-smart-grid-simulation-of-renewable-energy-integration-and-battery-storage-for-demand-response-optimization/ },
doi = { 10.5120/ijca2025925323 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-07-26T00:56:02.649439+05:30
%A Paschal Chinedu Ohiri
%A Ogomaka Chrysogonus C.
%A Mfonobong Eleazar Benson
%A Anyalewechi Chika J.
%T A Simplified Smart Grid Simulation of Renewable Energy Integration and Battery Storage for Demand Response Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 22
%P 20-22
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The global demand for sustainable and efficient energy management has accelerated the adoption of smart grid technologies. This article presents a simplified smart grid simulation integrating renewable energy sources and a battery storage system for demand response optimization. The simulation models power generation from conventional, solar, and wind sources, alongside energy storage and demand response mechanisms to reduce peak loads. Results demonstrate the grid's ability to balance energy supply and demand through efficient use of renewable sources and battery storage, highlighting the potential for reducing reliance on conventional power generation.

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Index Terms

Computer Science
Information Sciences

Keywords

Smart grid technologies Renewable energy sources Battery storage system Demand response optimization Peak load reduction