A PLANNING STRATEGY FOR REACTIVE POWER IN POWER TRANSMISSION NETWORK USING SOFT COMPUTING TECHNIQUES

Biplab Bhattacharyya and Nihar Karmakar

Keywords

Reactive power, real power loss, operating cost, shunt capacitor, weak buses

Abstract

This paper presents a unique approach for the solution of reactive power planning (RPP) in the power transmission network. The prime objective of RPP is to find out the optimal sizing and installation of reactive power (VAr) sources in such a manner that the system energy loss and economic benefits are enhanced. This article proposed a planning strategy based on soft computing techniques to mitigate the solution of RPP problem. In this context, authors first determined the optimal locations, with the help of three separate methods viz. loss sensitivity, power flow and modal analysis method, for the placement of VAr sources. The methodology, to attain the afore-mentioned objective, also includes quantification of different cost components relative to the reactive power sources along with the minimization of energy losses during power transmission. Finally, a comparative analysis has been done for a better understanding of the proposed approach with other well-established soft computing techniques like particle swarm optimization (PSO), big-bang–big- crunch (BBBC), crow search algorithm (CSA) and teaching learning- based optimization (TLBO) algorithm. The overall procedure is simulated on the standard IEEE 30 bus test system.

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