A new improved adaptive imperialist competitive algorithm to solve the reconfiguration problem of distribution systems for loss reduction and voltage profile improvement

• Published in: International journal of electrical power & energy systems Vol. 55; pp. 128 - 143
• Main Authors: Mirhoseini, Seyed Hasan, Hosseini, Seyed Mehdi, Ghanbari, Mehdi, Ahmadi, Mehrdad
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.02.2014; Elsevier
• Subjects: Adaptive algorithms; Adaptive systems; Algorithms; Ant colony algorithm; Ant colony optimization; Applied sciences; Distribution system; Electric potential; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Genetic algorithm; Genetic algorithms; Heuristic prohibited zone method; Improved adaptive imperialist competitive algorithm; Miscellaneous; Operation. Load control. Reliability; Power networks and lines; Reconfiguration; Voltage; Heuristic prohibited zone method; Improved adaptive imperialist competitive algorithm; Genetic algorithm; Distribution system; Ant colony algorithm; Reconfiguration; Performance evaluation; Adaptive algorithm; Power system economics; Optimization method; Mapping; Nonlinear problems; Implementation; Bus system; Electrical network; System reduction; Heuristic method; Power losses; Power markets; Reconfigurable architectures; Open market; Distribution network
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2013.08.028

•Reconfiguration problem is solved using a new improved adaptive imperialist competitive algorithm (IAICA).•Mapping strategy and a heuristic prohibited zone method are used to modify and handle of radial constraint ICA.•For validating IAICA, two other algorithms – GA and ACO – are implemented.•The proposed method is applied to 33 and 69-bus tests network in presence of DG’s.•Convergence plot is obtained with less iteration and more convergence speed using IAICA. In this paper, a reconfiguration methodology based on a novel improved adaptive imperialist competitive algorithm (IAICA) is proposed for the sake of minimizing real power losses and enhancing the voltage profile. Unlike ICA, an inherently continuous algorithm reconfiguration is a discrete nonlinear optimization problem. Therefore, the mapping strategy is used to adapt ICA to the reconfiguration problem. Furthermore, a heuristic prohibited zone method is proposed to enhance the exploration capability and converging behavior of ICA. This heuristic method is considered to check the radiality constraint. In addition to IAICA, two other algorithms – GA and ACO – are implemented for reconfiguration of 33 and 69-bus test systems with and without DG. The efficiency of IAICA is validated by comparing the obtained results with each other.