Hydrothermal Scheduling by Hybrid Computing Technique in RE Rich Grid
Prahlad Mundotiya, Ankush Koli, Subhash Shrimal, Gayatri Kansotia, Neetika Meena, Neha Goyal · 2024
Hydrothermal scheduling with the integration of renewable energy is a critical factor in the shift to sustainable power generation. Maximizing the efficiency and undependability of these conventional systems is essential to attaining energy sustainability objectives. This article presents a novel approach for scheduling of hydrothermal and renewable energy systems on the IEEE 30 bus system utilizing an enhanced hybrid computational technique by combining the evolutionary programming (EP) technique with genetic algorithm (GA). The method combines the benefits of genetic algorithms with powerful optimization mechanisms to successfully control the equality and inequality constraints in the systems. The suggested technique optimizes scheduling by considering various parameters such as energy consumption, resource availability, and environmental restrictions to improve system performance, decrease costs, and reduce the ecological effects. Simulations and case studies on the IEEE 30 bus system illustrate the EP-GA technique’s efficacy and resilience, highlighting its potential for practical deployment in real-world energy management settings.