Abstract
Today, the world is looking at the adoption of alternative energy resources for electrical power generation, particularly for remote applications. Renewable energy resources are being investigated to meet such demand due to numerous benefits, such as being environmentally friendly, a reliable source of energy, improving public health issues, job creation in rural areas, and so on. In the present work, two intelligent approaches, including a recently developed method named Improved Harmony Search (IHS) and Particle Swarm Optimization (PSO), have been adopted for the optimal sizing of the hybrid renewable energy system to fulfill the electrical load demand of a selected remote site in the Haryana state of India. The problem has been formulated by developing a mathematical model of the hybrid renewable energy system by considering the capital cost, replacement cost, operation and maintenance (O & M) cost, fuel cost, salvage value of various components, and the cost of selling and buying power to and from the utility grid. The optimization of the hybrid model for off-grid and grid-connected mode has been carried out for the minimization of the Net Present Cost (NPC) of the hybrid system by using the MATLAB platform. A comparative analysis of the results obtained by using the IHS and PSO algorithms is also presented in this work.
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Anand, P., Rizwan, M., Bath, S.K. et al. Optimal Sizing of Hybrid Renewable Energy System for Electricity Production for Remote Areas. Iran J Sci Technol Trans Electr Eng 46, 1149–1174 (2022). https://doi.org/10.1007/s40998-022-00524-2
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DOI: https://doi.org/10.1007/s40998-022-00524-2