WSEAS Transactions on Environment and Development
Print ISSN: 1790-5079, E-ISSN: 2224-3496
Volume 15, 2019
Optimal Sizing of Hybrid Renewable Energy System via Flower Pollination Algorithm
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Abstract: Hybrid renewable energy systems are required by off-grid settlements. Optimal sizing of such the systems can be considered as one of the constrained optimization problems. This paper presents the intelligent method based on the modern optimization for optimal sizing the hybrid renewable energy system by using the flower pollination algorithm (FPA) in order to minimize total net present cost and meet the load demand. The FPA is one of the most powerful population-based metaheuristic optimization search techniques. It mimics the pollination behavior of the flowering plant in nature. Due to its random number with Lévy distribution, the FPA can efficiently find the optimal solutions of wide-range optimization problems. In this work, the FPA is applied for optimal sizing of the hybrid renewable energy system. The considered hybrid renewable energy system is an off-grid type consisting of diesel generators, solar photovoltaic modules, hydro systems, wind turbines and battery sets. Daily load demands are randomly set to perform the effectiveness of the FPA. Results obtained by the FPA will be compared with those obtained by the genetic algorithm (GA). From experimental results, it was found that the FPA can significantly provide an optimal sizing of the given hybrid renewable energy system superior to the GA within faster computational time consumed.
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Keywords: Optimal Sizing, Hybrid Renewable Energy System, Flower Pollination Algorithm, Optimization
Pages: 221-229
WSEAS Transactions on Environment and Development, ISSN / E-ISSN: 1790-5079 / 2224-3496, Volume 15, 2019, Art. #25