Vol 9, No 3 (2024)

Optimization of Power Distribution in Electrical Circuits Using Ai Algorithms

Author: Swati Gupta

Abstract: Power distribution is a critical challenge in electrical circuits, particularly for large-scale systems such as power grids and micro grids. Traditional methods for optimizing power flow often fall short due to their inability to handle the complexity and nonlinearity of modern electrical systems. In this paper, we propose the use of Artificial Intelligence (AI) algorithms, specifically neural networks and genetic algorithms, to optimize power distribution in various circuit topologies. The paper demonstrates how these AI techniques can effectively manage the distribution of electrical power to minimize losses and improve efficiency. Case studies on micro grid systems are presented, where the AI algorithms outperform conventional methods. The study also considers the integration of renewable energy sources, adding further complexity to the optimization process. Simulation results confirm the efficacy of AI in enhancing power distribution strategies in modern electrical networks.

Keywords: Power distribution, artificial intelligence, neural networks, genetic algorithms, micro grid.

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