A Hybrid Algorithm of Particle Swarm Optimization and Tabu Search for Distribution Network Reconfiguration. (10th August 2016)

• Record Type: Journal Article
• Authors: Fang, Sidun; Zhang, Xiaochen
• Other Names: Pontani Mauro Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2016(2016)
• Publication Date: 2016-08-10
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2016/7410293
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : This paper deals with the distribution network reconfiguration problem. A hybrid algorithm of particle swarm optimization (PSO) and tabu search (TS) is proposed as the searching algorithm. The new algorithm shares the advantages of PSO and TS, which has a fast computation speed and a strong ability to avoid local optimal solution. After a thorough comparison, network random key (NRK) is introduced as the corresponding coding strategy among various tree representation strategies. NRK could completely avoid the generation of infeasible solutions during the searching process and has a good locality property, which allows the new hybrid algorithm to perform to its fullest potential. The proposed algorithm has been validated through an IEEE 33 bus test case. Compared with other algorithms, the proposed method is both accurate and computationally efficient. Furthermore, a test to solve another problem also proves the robustness of the proposed algorithm for a different problem.