PERFORMANCE ENHANCEMENT OF TRANSMISSION NETWORK USING FACT’S DEVICES PLACEMENT

Abstract

The demand for improved power quality is growing due to increased integration of distributed and renewable energy resources in power system. It is required that power system should operate within specified voltage and frequency limits even during the contingencies and line tripping. Disturbances can cause voltage instability and overloading on transmission line which can result in poor regulation and effects power flow adversely. To avoid instable conditions and increase reliability of power system Unified power flow Controller (UPFC) is installed at critical places in power system so that voltage violations and overloading conditions can be minimized when any disturbance encounters. It is necessary to install UPFC at optimal location for its effective performance. In this paper, novel technique of Harris Hawks optimization (HHO) algorithm is implemented on the power system to find the optimal location for the installation of UPFC. This research work is divided into two parts: In the first part, Newton Raphson method is used to perform the contingency analysis. Contingency analysis is performed to calculate the performance parameter (PP) during contingency of transmission line tripping. Performance parameter is summation of Number of overloaded transmission lines and Number of buses underwent voltage violation when transmission lines are tripped. Based on the value of PP, the ranking is done regarding the severity of effects whenever contingency occurred, and line is tripped. In the second part, HHO algorithm is implemented on 14 and 30 bus IEEE power system to find the optimal location for the installation of UPFC which can support effectively duringviii contingencies. The results of HHO are also compared with AAA, PSO and D.E algorithm. The results showed that stability and reliability of power system is greatly improved after finding the optimal locations for UPFC installation using HHO algorithm. HHO has minimized the value of performance parameters which means that number of transmission lines affected by overloading conditions are less and none of the buses underwent voltage violations during N-1 contingencies. The computational results shows that HHO algorithm finds the optimal locations more accurately as compared to AAA, PSO and D.E algorithm.