Optimal Location and Parameter Setting of TCSC for Loss Minimization Based on Differential Evolution and Genetic Algorithm

• Published in: Physics procedia Vol. 33; pp. 1864 - 1878
• Main Authors: Rashed, Ghamgeen I., Sun, Yuanzhang, Shaheen, H.I.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2012
• Subjects: Differential Evolution (DE); Genetic Algorithm (GA); Power flow; Thyristor Controlled Series Capacitor (TCSC); Thyristor Controlled Series Capacitor (TCSC); Genetic Algorithm (GA); Power flow; Differential Evolution (DE)
• ISSN: 1875-3892; 1875-3892
• DOI: 10.1016/j.phpro.2012.05.296

Flexible Alternating Current Transmission Systems (FACTS) devices have been proposed as an effective solution for controlling power flow and regulating bus voltage in electrical power systems, resulting in an increased transfer capability, low system losses, and improve stability. However to what extent the performance of FACTS devices can be brought out highly depends upon the location and the parameters of these devices. In this paper, we propose two Evolutionary Optimization Techniques, namely Differential Evolution (DE) and Genetic Algorithm (GA) to select the optimal location and the optimal parameter setting of TCSC which minimize the active power losses in the power network, and compare their performances. To show the validity of the proposed techniques and for comparison purposes, simulations are carried out on several power systems, a three-bus power system, a five-bus power system, and an IEEE-14 bus power system. The results, we have obtained, indicate that DE is an easy to use, fast, robust and powerful optimization technique compared with genetic algorithm (GA). The results are presented in the paper together with appropriate discussion.