978-1-5386-3917-7/17/$31.00 ©2017 IEEE Realization of 5-bus System Using Soft Computing Technique for Flexible Alternating Current Transmission System (FACTS) Devices Zade Ankit Ashokrao Dept. of Electrical Engg. Jagadambha College of Engineering and Technology, Yavatmal, India. Ankit.zade111@gmail.com Pachagade Ruchi Machhindra Dept. of Electrical Engg. Jagadambha College of Engineering and Technology, Yavatmal, India ruchi.pachagade@gmail.com Sanjeevikumar Padmanaban Dept. of Electrical and Electronics Engg. University of Johannesburg, South Africa. sanjeevi_12@yahoo.co.in Mahajan Sagar Bhaskar Dept. of Electrical and Electronics Engg. University of Johannesburg, South Africa. sagar25.mahajan@gmail.com Luigi Martirano Dept. of Electrical Engineering, Sapienza University of Rome Rome, Italy. luigi.martirano@uniroma1.it Zbigniew Leonowicz Faculty of Electrical Engg., Wroclaw University of Technology, Wroclaw, Poland. leonowicz@ieee.org Abstract—Total transfer capability analysis of power system is currently a critical issue in both planning & operating of systems. These issues mainly occur due to increase in area and interchanges among utilities. To reduce the flows in heavily loaded lines, Flexible Alternating Current Transmission System (FACTS) devices is used, this results in increased transfer capability, improve stability of the network, low system losses, and fulfill contractual required by controlling the power flows in the network. To achieve parameters FACTS devices are placed optimally and is done with the help of reduction of total system reactive power loss sensitivity indices analysis method and real power flow performance index sensitivity indices analysis method. Thyristor-Control-Series-Capacitor (TCSC) is used as a FACTS device in the proposed sensitivity analysis method. To decide priority of line for placing TCSC, soft computing technique “Fuzzy logic method” is employed. The performance evaluation of proposed sensitivity analysis methods is done using electrical IEEE-5 bus system. The sensitivity indices are programmed using Matrix Laboratory. Keywords—Soft Computing Technique; Sensitivity Analysis Method; Power System Stability; FACTS; TCSC; Fuzzy. I. INTRODUCTION A network comprising of electrical components use to supply, transmit and use electric power is define as the power system network. An important aspect of power system security is the system’s ability to withstand the effects of contingencies [1]. A contingency is basically an outage of a generator, transformer or line, and its effects are monitored with specified security limits [2]. Power system operation is said to be normal, when power flows and the bus voltages are within acceptable limits. From this perspective, security is the probability of a power system’s operating point remaining in a viable state of operation [3]. Recently loads on the power system increases rapidly and power system network becomes more complex hence it is difficult to transmit the more power, leading the power system networks to its thermal limit. Due to this, power system security problem arises. It is necessary that, though load demand increases, the power system transmission networks should work within their safe limits [4]. This insecure problem of power system can be overcome by optimally locating FACTS devices [5]-[6]. The most renowned power electronic based static FACTS devices includes Static Synchronous Condenser (STATCOM) [7]-[8], Static Var Compensator (SVC) [9], Unified Power Flow Controller (UPFC), Thyristor Control Series Compensator (TCSC), Thyristor Controlled Phase Shift Transformer (TCPST), Interline Power Flow Controller (IPFC) and Static Synchronous Series Compensator (SSSC) [10]. Out of these FACTS devices TCSC provides various advantageous features which include mitigating distortions in Fig. 1. Detail structure of fuzzy system and three essential segments used in Fuzzy Method