Optimal strategy of reactive in distribution network based on GA enhanced Trust-Tech technology

• Published in: Journal of engineering (Stevenage, England) Vol. 2017; no. 13; pp. 1242 - 1245
• Main Authors: Kuihua, Wu, Jian, Wang, Bo, Yang, Liang, Feng, Xiaolei, Zhang, Lu, Chen
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 2017
• Subjects: deterministic property; distribution network; distribution networks; GA enhanced Trust‐Tech algorithm; GA enhanced Trust‐Tech technology; genetic algorithms; genetic‐simulated annealing algorithm; global search ability algorithm; installation cost minimization; optimal capacitor configuration; power capacitors; power loss charge minimization; purchasing cost minimization; reactive optimal strategy; reactive optimisation; search problems; simulated annealing; total cost minimization; simulated annealing; distribution networks; deterministic property; power loss charge minimization; genetic-simulated annealing algorithm; genetic algorithms; total cost minimization; global search ability algorithm; GA enhanced Trust-Tech algorithm; distribution network; optimal capacitor configuration; reactive optimisation; reactive optimal strategy; search problems; purchasing cost minimization; power capacitors; installation cost minimization; GA enhanced Trust-Tech technology
• ISSN: 2051-3305; 2051-3305
• DOI: 10.1049/joe.2017.0527

Genetic-simulated annealing algorithm (GA)-enhanced combined with Trust-Tech algorithm is proposed for the optimal capacitor configuration of distribution network to achieve reactive optimisation. The mathematical model is built, in which the total costs such as purchasing cost, installation cost, and power loss charge are minimised. The algorithm contains two stages, in the first stage, the global search ability algorithm GA is applied to identify the space with high quality solution and trust-tech is used to find the multiple local optimal solutions in the second stage. The numerical study shows that the GA enhanced Trust-Tech algorithm has the deterministic property and can obtain better solution than the results from GA.