A New Fractional Particle Swarm Optimization with Entropy Diversity Based Velocity for Reactive Power Planning

• DOI: 10.3390/e22101112
• Publication Date: 2020-10-01T13:04:12Z
• Authors: Muhammad Waleed Khan; Yasir Muhammad; Muhammad Asif Zah...; Farman Ullah; Naveed Ishtiaq Ch...; Yigang He
• Keywords: Science; Physics; QC1-999; Q; 02 engineering and technology; Astrophysics; Article; QB460-466; fractional swarming; shannon entropy; entropy metric; reactive power planning (RPD); 0202 electrical engineering, electronic engineering, information engineering; optimal power flow (OPF); optimization

Optimal Reactive Power Dispatch (ORPD) is the vital concern of network operators in planning and management electrical systems to reduce real reactive losses transmission distribution system order augment overall efficiency network. The principle objective ORPD problem explore best setting decision variables such as rating shunt capacitors, output voltage generators tap transformers diminish line loss, improve profile index (VPI) operating cost minimization standard while keeping within allowable limits. This research study demonstrates a compelling transformative approach for resolving problems faced by through exploiting strength meta-heuristic optimization model based on new fractional swarming strategy, namely (FO)–particle swarm (PSO), with consideration entropy metric velocity update mechanism. To perceive 30 57-bus networks, complex nonlinear functions, including system, VPI improvement minimization, are constructed emphasis efficacy enhancement system. Assessment results show that proposed FO-PSO performs better than other state art algorithms means VPI, loss minimization. statistical outcomes terms quantile–quantile illustrations, probability plots, cumulative function, box histograms minimum fitness evaluation set autonomous trials validate capability scheme exhibit sufficiency also vigor problems.