Abstract
This paper presents the optimal allocation of the distributed generations (DGs) into the distribution networks (DNs) using the Archimedes Optimization Algorithm (AOA). The AOA optimizes three DGs operating at unity power factor representing the PV renewable energy sources (RES). The standard 33-bus DN is used as a test system to verify the AOA’s effectiveness in both single-objective and multi-objective optimizations. In addition to the overall power loss elimination, the total voltage deviation (TVD) of the DN is reduced by the optimum allocation of three DGs. In multi-objective optimization, the Pareto Optimal Front (POF) method is adopted to determine the non-dominated solutions. A fuzzy linear function decides the Best Compromise Solution (BCS) between the points set by the POF. The AOA’s obtained results in both single and multi-objective optimizations are compared to the Particle Swarm Optimization (PSO) and Atom Search Optimization (ASO) algorithms. The three algorithms are effective in solving the optimization problem or both single and multiple dimensions. Moreover, the AOA outperforms the ASO and PSO algorithms in different case studies.
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Eid, A., El-Kishky, H. (2021). Multi-objective Archimedes Optimization Algorithm for Optimal Allocation of Renewable Energy Sources in Distribution Networks. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-030-73882-2_7
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DOI: https://doi.org/10.1007/978-3-030-73882-2_7
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