Lyapunov-based energy optimization for hybrid renewable energy system for coastal area

Hybrid renewable energy systems (HRES) provide clean energy, and promote a safe and hygienic environment by reducing greenhouse gas emissions. This paper proposes an HRES configuration that integrates with solar, wind, and tidal energy resources using Lyapunov optimization (LO-HES) with multi-objective parameters. LO-HES is implemented to manage real-time energy distribution with stability analysis. Simulation results indicate that in different environmental conditions and hybrid configurations, the suggested LO-HES achieve the best possible computation, maintaining system stability while optimizing the overall performance of all queues and improving energy utilization efficiency. In addition to that, extreme minimal load time and an optimal battery capacity of 680 kWh in diverse geographic regions, Energy efficiency of 89 % and low convergence time of 0.17 sec and cost reduction of 35 % to 40 %. The proposed system is particularly appropriate for quick application in rapidly changing environmental coastal conditions.