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A Novel Approach for Optimal Capacitor Placement Model in Power Distribution Systems

Author(s): K.S. Ravichandran | Salem Saleh Saeed Alsheyuhi | Venugopal Chitra

Journal: Research Journal of Applied Sciences, Engineering and Technology
ISSN 2040-7459

Volume: 4;
Issue: 4;
Start page: 334;
Date: 2012;
Original page

Keywords: ANFIS | Artificial Neural Networks (ANN) | fuzzy logic | optimal capacitor placement | optimal power flow

This study deals with the design of distributed power systems and optimal capacitor placement based on the ANFIS (Adaptive Network Fuzzy Inference Systems) using Mamdani-type fuzzy inference model. Traditionally, this problem of optimal capacitor placement has been solved through various optimization techniques, but it is less accuracy of finding placement and more time consuming. This can be avoided by defining the system stochastically. In this study, we introduce ANFIS architecture for the first time in this field to obtain an optimal capacitor placement in power distributed systems. The results are compared with a standard 34-bus test system with other models, with respect to the placements, savings and the computational time.
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