Indonesian Journal of Electrical Engineering and Computer Science Vol. 14, No. 1, April 2019, pp. 428~435 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v14.i1.pp428-435  428 Journal homepage: http://iaescore.com/journals/index.php/ijeecs Effect of SVC installation on loss and voltage in power system congestion management Nur Zahirah Mohd Ali, Ismail Musirin, Hasmaini Mohamad Faculty of Electrical Engineering, Universiti Teknologi MARA Malaysia, Shah Alam, Selangor, Malaysia Article Info ABSTRACT Article history: Received Oct 14, 2018 Revised Nov 30, 2018 Accepted Dec 15, 2018 In this paper, a new hybrid optimization technique is proposed namely Adaptive Embedded Clonal Evolutionary Programming (AECEP). This idea comes from the combination part of the clone in an Artificial Immune System (AIS) and then combined with Evolutionary Programming (EP). This technique was implemented to determine the optimal sizing of Flexible AC Transmission Systems (FACTS) devices. This study focused on the ability of Static Var Compensator (SVC) is used for the optimal operation of the power system as well as in reducing congestion in power system. In order to determine the location of SVC, the previous study has been done using pre- developed voltage stability index, Fast Voltage Stability Index (FVSI). Congested lines or buses will be identified based on the highest FVSI value for the purpose of SVC placement. The optimizations were conducted for the SVC sizing under single contingency, where SVC was modeled in steady state analysis. The objective function of this study is to minimize the power loss and improve the voltage profile along with the reduction of congestion with the SVC installation in the system. Validation on the IEEE 30 Bus RTS and IEEE 118 Bus RTS revealed that the proposed technique managed to reduce congestion in power system. Keywords: Adaptive embedded clonal Evolutionary programming (AECEP) Fast voltage stability index (FVSI) Optimal sizing Static var compensator (SVC) Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Nur Zahirah Mohd Ali, Faculty of Electrical Engineering, Universiti Teknologi MARA Malaysia, Shah Alam, Selangor, Malaysia. Email: nurzahirah_mohdali@yahoo.com 1. INTRODUCTION Congestion problem is one of the important issues in power system as its occurrence may lead to unstable condition and affects our daily activities. Important events such as increase in power demand, construction of new lineages of transmission lines; unscheduled power flow in lines can cause congestion in the transmission network and increase of transmission loss. Application of artificial intelligence in managing congestion has indicated the importance of artificial intelligence effectiveness in addressing many power system problems. Some studies have concentrated on maximising social and individual welfare as reported in [1-4]. This issue has been also discussed in detail in [5] which relates to reactive power issue, while the solution for congestion in deregulated environments. On the other side, a promising idea has been rapidly developed over the last two decades for controlling the power flow in transmission lines with the application of FACTS devices. Congestion management has been addressed in several studies as reported in [6-8]. The relationship to transient stability is very obvious, where congestion management was performed to enhance the transient stability. On the other hand, placement of TCSC is also crucial to improve system stability. One important approach to manage the congestion is the implementation of sensitivity analysis based on the transmission line susceptance. Index-based analysis [9-11] has also been addressed to manage the congestion. Other than that, SVC application has also been discussed in [12-14], which can be closely relevant to congestion management. Through the installation of FACTS devices, congestion problem can also be solved.