Modeling and optimization of a hybrid renewable energy system integrated with gas turbine and energy storage. (1st March 2023) - Jia, Keyu
Abstract: The inherent fluctuation and intermittence of wind power and solar photovoltaics pose great difficulty for stable power grid operation. Aiming at enhancing their exploitation efficiency, this paper presents a modeling study of a large-scale renewable energy system that is backed by gas turbine power plant and energy storage. From a full-life-cycle perspective, the system configuration and power dispatch strategy were optimized by coordinating system economy and carbon emission. The results indicate that the integration of gas turbine and hydrogen energy storage reduces carbon emissions and renewable curtailment but with high costs. To improve the system economy, extra electrochemical energy storage is incorporated to share the compensation when the grid shortfall is below the minimum gas turbine load. The collaborative hydrogen and electrochemical energy storage scheme improves the operating conditions of the gas turbine and significantly saves natural gas consumption, resulting in better system economy and carbon reduction. The minimum carbon emission of the proposed hybrid renewable energy system is 37.2% lower than the scenario with no renewable power. Highlights: Scalable hybrid renewable energy system modeling combined with gas turbine/storage Integrated analysis for balancing system economy and carbon reduction Multi-objective optimization for system configuration and operating strategy Collaborative hydrogen and electrochemical storage scheme for economy/carbon gains