WSEAS Transactions on Power Systems
Print ISSN: 1790-5060, E-ISSN: 2224-350X
Volume 20, 2025
Optimal Sizing and Placement of Distributed Generators using
Multi-objective Particle Swarm Optimization
Authors: ,
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Abstract: An improved method is introduced for the simultaneous reduction of both total active power loss and
total voltage deviation in power grids. Multi-objective particle swarm optimization is utilized to select the optimal
sizing and placement of distributed generators, subject to the overall power balance in the network and physical
constraints of the power grid components. The optimization process produces a Pareto optimal set from which
the best compromise solution is selected using fuzzy set theory. The proposed algorithm is tested on the IEEE
69-bus system, and results are compared to other modern multi-objective algorithms. Finally, a real-world case is
studied where the proposed algorithm is employed to find the optimal DGs sizing and placement to improve the
performance of Al-Dhahiriya City Distribution System.
Keywords:
Distributed generation, active power losses, voltage deviation, multi-objective particle swarm
optimization
Pages: 401-411
DOI: 10.37394/232016.2025.20.32