Open AccessEfficient Hybrid Algorithm Solution for Optimal Reactive Power Flow Using the Sensitive Bus Approach
Author(s) -
Zahir Sahli,
Abdellatif Hamouda,
Samir Sayah,
Damien Trentesaux,
Abdelghani Bekrar
Publication year - 2022
Publication title -
engineering, technology and applied science research/engineering, technology and applied science research
Language(s) - English
Resource type - Journals
eISSN - 2241-4487
pISSN - 1792-8036
DOI - 10.48084/etasr.4680
Subject(s) - ac power , power flow , particle swarm optimization , mathematical optimization , transformer , tabu search , computer science , capacitor , benchmark (surveying) , nonlinear system , voltage , control theory (sociology) , nonlinear programming , algorithm , electric power system , power (physics) , engineering , mathematics , control (management) , electrical engineering , physics , geodesy , quantum mechanics , artificial intelligence , geography
This paper presents the design and application of an efficient hybrid algorithm for solving the Optimal Reactive Power Flow (ORPF) problem. The ORPF is formulated as a nonlinear constrained optimization problem where the active power losses must be minimized. The proposed approach is based on the hybridization of Particle Swarm Optimization (PSO) and Tabu-Search (TS) technique. The proposed PSO-TS approach is used to find the settings of the control variables (i.e. generation bus voltages, transformer taps, and shunt capacitor sizes) which minimize transmission active power losses. The bus locations of the shunt capacitors are identified according to sensitive buses. To show the effectiveness of the proposed method, it is applied to the IEEE 30 bus benchmark test system and is compared with PSO and TS without hybridization, along with some other published approaches. The obtained results reveal the effectiveness of the proposed method in dealing with the highly nonlinear constrained nature of the ORPF problem.