International Journal of Soft Computing

Year: 2006
Volume: 1
Issue: 1
Page No. 8 - 16

A New Fuzzy Power Factor Improvement and Voltage Limit Violation Minimization Technique for Electrical Power Distribution System

Authors : K. Manjunath and M.R. Mohan

Abstract: The growing demand of electrical power needs proper attention of power distribution engineer/distribution substation operator to maintain good quality distribution of electrical power in the Electrical Power Distribution Systems (EPDS). The exercise of power distribution engineers/distribution system substation operator to add/remove the capacitor banks to improve the power factor and also to minimize the worst voltage drop in radial feeders leads to more voltage fluctuations in distribution system. The technique employed for voltage violation minimization and reactive power compensation in distribution systems should take care of various constraints like minimization of capacitor switching operations, improving the power factor to the optimal value and restoring voltage changes to the permissible value. So the power factor improvement and voltage limit violation minimization problem for efficient operation of EPDS is treated as a non-linear, non-differential and multi-objective optimization problem. Hence, in this paper a New Fuzzy Based Non-linear Control Technique for Power Factor (PF) improvement and Voltage Limit Violation Minimization (VLVM) in efficient operation of EPDS is presented. This new technique has been tested on 26-Bus, 28-Bus, 33-Bus and 69-Bus practical EPDS. The results shows that it is a highly suitable technique for PF improvement and minimization of voltage limit violations in efficient operation of EPDS. Hence this new technique can be used in EPDS for supplying good quality electrical power to the utilities in developing/developed countries.

How to cite this article:

K. Manjunath and M.R. Mohan , 2006. A New Fuzzy Power Factor Improvement and Voltage Limit Violation Minimization Technique for Electrical Power Distribution System. International Journal of Soft Computing, 1: 8-16.

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