A novel swarm intelligence-based approach for solving optimal power flow problems in modern power systems

Q3 Mathematics

Results in Control and Optimization Pub Date : 2025-03-22 DOI:10.1016/j.rico.2025.100555

Haewon Byeon , Wajdi Alghamdi , Munni Evin , M. Sucharitha , D. David Neels Ponkumar , A. Prakash , J. Sunil

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Abstract

Optimal power flow is the major concern with electric power systems. According to the OPF issue solution, the most suitable points are the compensator output, transformer tap, generator voltage, and generator output powers. In order to solve the optimum power flow difficulties related to the C-UPFC, this research suggested an Improved Pelican optimization algorithm (IPOA). Install the superior flexible AC transmission system (FACTS) in accordance with the transmission line (TL) in a series configuration to provide independent voltage control that combines power flow regulation. The suggested POA method ensures efficiency over the conventional IEEE 57 bus systems. Define the emission fuel cost and fuel cost during the C-UPFC installation. The suggested C-UPFC, when integrated optimally, considerably improves the voltage profile by decreasing power loss, as shown in the experiments. In addition, compared to all previous methods, the suggested algorithm produces superior outcomes, with the suggested method, you may expect to pay 202 tons per hour for emissions and 799.56 tons per hour for gasoline.

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