Efficient Coordination of Renewable Energy Resources through Optimal Reversible Pumped Hydro-Storage Integration for Autonomous Microgrid Economic Operation

Talal Alharbi, Farag K. Abo-Elyousr and Alaaeldin M. Abdelshafy

Energy, 2024, vol. 304, issue C

Abstract: The paper proposes an energy management system, which considers the efficiency of the reversible pump/turbine that varies nonlinearly depending on the water flow rate during the pump/turbine modes of operation. A vibration avoidance strategy of the reversible pump hydro storage is developed. A probabilistic approach based on artificial neural networks and Naive-based is used. Through minimizing the levelized Cost of Energy (COE), this study shows the optimal size and reconfiguration of the HMG system as well as purchased/sold energy. Two novel modified optimizers based on the Particle Swarm Optimization (PSO) and the Aquila Optimizer (AO), namely: AO initialized PSO and AO updated PSO are developed. The results via the PSO and AO optimizers are compared in terms of reducing the COE and attaining a low execution time. Based on the results, a COE of 0.22 $/kWh through the developed strategy could be obtained with CO2 emissions of 1974 ton/year against 0.24 $/kWh and 2460 ton/year using the PSO, which saves 24.6% of the yearly CO2 emissions. Furthermore, the vibration avoidance strategy avoids the dead zones and enables the reversible pump/turbine machine to operate at higher efficiencies — both of which are impossible to achieve in the occurrence of vibrations.

Keywords: Hybrid energy system; Hybrid energy storage; Nonlinear reversible pump/turbine; Energy storage systems; Renewable energy system; Clean energy; Vibration avoidance; Aquila optimization; Sustainable development goals (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:304:y:2024:i:c:s0360544224016839

DOI: 10.1016/j.energy.2024.131910

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