Optimization of stand-alone hybrid renewable energy system based on techno-socio-enviro-financial perspective using improved red-tailed hawk algorithm

Asmita Ajay Rathod and Balaji S.

Applied Energy, 2024, vol. 376, issue PA, No S0306261924015204

Abstract: The generation of electricity from Renewable Energy Sources (RES) in off-grid systems has increased rapidly over the last several years, mostly to satisfy regional electricity demand. The objective is to develop a hybrid PV/Wind/Battery/Diesel generator/ Power to Hydrogen (P2H) system configuration that can effectively and economically meet the energy demands. For an optimum design of a hybrid system, this work incorporates technical parameters (Loss of Power Supply Probability (LPSP), Renewable factor, PV fraction, and Wind fraction), economic factors (Cost of Energy (COE), Net Present Cost (NPC), and Annualized system cost (ASC)), social factor (Human Developing Index (HDI)) in the proposed design. A distinctive feature of the works is that it proposes a novel Improved Red-Tailed Hawk Algorithm (IRTHA) which utilizes a hybrid approach that incorporates nonlinear decay and chaotic map strategy for designing optimum hybrid systems. The effectiveness of the proposed IRTHA is determined by implementing it on the CEC 2019 benchmark problems and then comparing its outcomes with that of existing Metaheuristic (MH) algorithms. The proposed IRTHA and other MH algorithms are used to determine the appropriate size and conduct a techno-socio-enviro-financial evaluation of an HRES. The investigation reveals that the IRTHA has identified the most economical COE, NPC, and ASC of electricity for the selected site, which are determined to be 0.3772 $/kWh, 44,05,900 $, and 3,10,000 $/year respectively and these values are found to be economically efficient. Additionally, IRTHA demonstrates superior performance in mitigating the environmental pollutant CO2, with a maximum emission of just 549.8792 kg/year. Also, Lifetime model assessment of the design substantiate the results of the IRTHA. Finally, sensitivity analysis is conducted for the parameters such as solar radiation, wind speed, temperature, and component cost to determine a more feasible design.

Keywords: Hybrid energy system; Optimal sizing; Cost of energy; Power management strategy; Optimization; Sensitivity analysis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.apenergy.2024.124137

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