Reconfiguration of electrical distribution system using ACO methodology

Issue title: Special Section: Intelligent tools and techniques for signals, machines and automation

Guest editors: Smriti Srivastava, Hasmat Malik and Rajneesh Sharma

Article type: Research Article

Authors: Jamil, Majid^{; *} | Sharma, Amit

Affiliations: Department of Electrical Engineering Jamia Millia Islamia, New Delhi, India

Correspondence: [*] Corresponding author. Majid Jamil, Department of Electrical Engineering Jamia Millia Islamia, New Delhi, India. Tel.: +91 9313462108; E-mail: [email protected].

Abstract: Reconfiguration of Distribution system during a contingency is a composite problem. The switching of loads between adjacent feeders to relieve the system from contingency could lead a trouble to the radiality of the system. These switching also lead to further overloading of the system feeders. To overcome from such a situation an algorithm based on ant colony optimization is presented to keep the system safe and maintain its radiality. The Ant Colony Optimization is a probabilistic approach which will seek the shortest path to switch the loads during the overload contingency while minimizing the power loss and maintaining the radiality of the system. To have the practical applicability, the algorithm is tested on the IEEE 30 bus system using the MI-Power software.

Keywords: Ant colony optimization, power loss minimization, pheromone intensity, electrical distribution system

DOI: 10.3233/JIFS-169774

Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 4901-4908, 2018