AI-Optimized Hybrid Power Plant with Dynamic Load Balancing

R.Krishna Kumar, Ghari Prasanna, M Kavin Kumar, W Jowin Kerry

Article Citation : R.Krishna Kumar , Ghari Prasanna , M Kavin Kumar , W Jowin Kerry , (2026) "AI-Optimized Hybrid Power Plant with Dynamic Load Balancing", International Journal of Industrial Electronics and Electrical Engineering (IJIEEE) , pp. 14-20, Volume-14,Issue-5

Abstract : The present project aims to design an optimized hybrid renewable power system with renewable sources solar and wind to provide clean and effective electrical power generation. An intermittent nature of renewable resources has made reliable generation of power and effective load dispatch a difficult task to overcome. Artificial intelligent based prediction and optimization approach used to predict energy generation and load demand on real time. Automatic load balancing used to distribute power effectively to different electrical loads, energy storage and grid by controlling appropriately such that there would be minimum energy waste and optimum usage of energy. Combining hybrid renewable generation with AI-based control, the system is more reliable and reduced dependency over conventional sources and capable of flexible smart and micro grid application. Keywords - Hybrid Renewable

Type : Research paper

Published : Volume-14,Issue-5




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| Published on 2026-10-28