Optimal reactive power and voltage control in distribution networks with distributed generators by fuzzy adaptive hybrid particle swarm optimisation method

• Published in: IET generation, transmission & distribution Vol. 9; no. 11; pp. 1096 - 1103
• Main Authors: Chen, Shuheng, Hu, Weihao, Su, Chi, Zhang, Xiaoxu, Chen, Zhe
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 06.08.2015
• Subjects: adaptive control; allowable daily switching operation number; bus voltage deviation; capacitors; comprehensive cost minimization; distributed generators; distributed power generation; distribution networks; Electric power distribution; Fuzzy; fuzzy adaptive hybrid particle swarm optimisation method; fuzzy adaptive inference; fuzzy control; Fuzzy logic; Fuzzy set theory; Generators; HPSO; IEEE 33‐node distribution system; integer programming; Mathematical models; mixed integer nonlinear programming problem; nonlinear programming; operation cost; optimal control; optimal reactive power control; Optimization; particle swarm optimisation; power capacitors; power distribution control; power loss; power transformers; PSO; reactive power control; reactive power limits; Swarm intelligence; transformers; VC + + 6.0 program language; voltage control; power distribution control; reactive power limits; VC + + 6.0 program language; particle swarm optimisation; nonlinear programming; integer programming; distribution networks; HPSO; bus voltage deviation; distributed power generation; comprehensive cost minimization; fuzzy control; mixed integer nonlinear programming problem; power loss; IEEE 33-node distribution system; distributed generators; fuzzy adaptive hybrid particle swarm optimisation method; power capacitors; transformers; power transformers; optimal reactive power control; optimal control; adaptive control; PSO; operation cost; capacitors; reactive power control; allowable daily switching operation number; fuzzy adaptive inference; voltage control
• ISSN: 1751-8687; 1751-8695; 1751-8695
• DOI: 10.1049/iet-gtd.2014.1059

A new and efficient methodology for optimal reactive power and voltage control of distribution networks with distributed generators based on fuzzy adaptive hybrid particle swarm optimisation (PSO) is proposed. The objective is to minimise comprehensive cost, consisting of power loss and operation cost of transformers and capacitors, and subject to constraints such as minimum and maximum reactive power limits of distributed generators, maximum deviation of bus voltages and maximum allowable daily switching operation number. PSO is used to solve the corresponding mixed integer non-linear programming problem and the hybrid PSO (HPSO) method, consisting of three PSO variants, is presented. In order to mitigate the local convergence problem, fuzzy adaptive inference is used to improve the searching process and the final fuzzy adaptive inference-based HPSO is proposed. The proposed algorithm is implemented in VC++ 6.0 program language and the corresponding numerical experiments are finished on the modified version of the IEEE 33-node distribution system with two newly installed distributed generators and eight newly installed capacitors banks. The numerical results prove that the proposed method can search a more promising control schedule of all transformers, all capacitors and all distributed generators with less time consumption, compared with other listed artificial intelligent methods.