<?xml version="1.0" encoding="UTF-8"?>
		<www.jets.org.in>
		<Title>SVC Reactive Power Management Using Genetic Algorithms</Title>
		<Author>Venugopal</Author>
		<Volume>02</Volume>
		<Issue>06</Issue>
		<Abstract>This paper introduces genetic algorithmbased generalized optimization as a solution to determine optimal distributed generator locations within the 10bus network with reactive power capabilities The improvement of both voltage stability and profile depends greatly on reactive power management The evolutionary genetic algorithm solved the necessary reactive power planning in this research by selecting the best individuals from parent to offspring generations based on biological metaphors The genetic algorithm adopts chromosomes exclusively so it avoids needing any initial system knowledge to begin its search process while fulfilling the determined objective functions and relevant constraints The stabilization of system voltage requires 3257821 MVAR reactive power injected by the Static Var Compensator SVC as per this research analysis</Abstract>
		<permissions>
<copyright-statement>Copyright (c) Journal of Engineering Technology and Sciences. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
		</www.jets.org.in>
		