Optimal capacitor allocation using fuzzy reasoning and genetic algorithms for distribution systems

✍ Scribed by Ching-Tzong Su; Guor-Rurng Lii; Chih-Cheng Tsai

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 857 KB
• Volume: 33
• Category: Article
• ISSN: 0895-7177
• DOI: 10.1016/s0895-7177(00)00277-6

✦ Synopsis

This paper presents 8n optimal caps&or allocation method which uses fuzzy reasoning and genetic algorithms for primary distribution systems. In the method, capacitor allocation ls applied to correct voltage deviation and reduce power loss for a given load pattern. The problem of caps&or allocation includes determining the location, type (6xed or switched), and size of capacitor. Fuzzy reasoning finds the sensitive buses which 8re used ss the candidate locations for capacitors plscement. Genetic algorithms determine the size and type of capacitors to be placed in the system. It is a combinatorial optimization problem which has the objective compceed of power lossea and caps&or installation cc&s subject to bus voltage constraints. Three membership functions relating to voltage deviation, real power loss, and reactive power bea 8re defined for fuzzy application. The proposed approach is demonstrated using two example systems. Computational results show that the proposed method c8n quickly achieve an optimal or near-optimal solution.