Synergy optimization algorithm of heterogeneous hybrid energy architecture to enhance resilience and reliability in intermittent stochastic power network

Abstract

Increasing of renewable energy sources in modern power networks has introduced challenges related to intermittency and stochastic variations that affects system reliability and resilience. This research proposes a Synergy Optimization Algorithm for a Heterogeneous Hybrid Energy Architecture to enhance power stability in an intermittent stochastic power network. The architecture integrates solar energy and generator based power when load shedding of grid occurs or ensuring grid independence while maintaining system reliability. A key challenge arises when low loads and high solar irradiance push generator operation below its minimum threshold (30%) that lead to potential tripping, cascading failures and financial losses. The proposed optimization algorithm dynamically adjusts the synergy between solar and generator power ensuring load balance while minimizing blackout risks. Through mathematical modeling and simulation, the study evaluates the impact of varying solar irradiance and load conditions, incorporating constraints on generator operation. HOMER Pro software is utilized to simulate system performance and quantify financial losses due to power outages. The results demonstrate how the synergy optimization algorithm mitigates generator tripping, enhances system resilience and improves reliability offering a viable solution for industrial and off-grid hybrid energy systems. This research contributes to the field of hybrid energy systems by proposing a resilience-driven optimization approach, ensuring sustainable and uninterrupted power supply under stochastic conditions.