OPTIMIZATION OF VOLTAGE STABILITY IN LOW-VOLTAGE DISTRIBUTION SYSTEMS USING INTELLIGENT TECHNIQUES

Abstract

This paper explores the utilization of innovative methodologies to optimize voltage stability in low-voltage distribution systems, thereby improving operational efficiency, reliability, and power quality. Modern distribution networks are confronted with the formidable challenge of stabilizing voltage profiles in response to the growing demand from electric vehicles, variable loads, and distributed energy resources. The research investigates intricate computational methods, including metaheuristic optimization algorithms, artificial neural networks, and fuzzy logic systems, to predict, monitor, and regulate voltage fluctuations in real time. In dynamic contexts, these astute techniques enable the mitigation of voltage deviations, efficient reactive power management, and adaptive decision-making. The proposed method is a strong contender for use in next-generation smart grid applications, as it outperforms conventional control strategies in terms of system stability, power loss, and resilience.