This paper presents the design of a new control strategy for gate-controlled series compensators (GCSCs). GCSCs are new FACTS devices which can provide active power flow control on a transmission line. Proper placement of GCSCs in proximity to generators can also provide damping to system oscillations. This paper has investigated the effectiveness of multiple multi-module gate controlled series compensators (MMGCSCs) for large power systems. MMGCSCs can be less expensive devices with wide range of control of capacitive reactance in series with transmission lines. A nonlinear modified PI (NMPI) control is developed to provide power flow control and enhanced transient stability margin of the multi-machine power system. The NMPI is designed using a multi-layer neural network to approximate the blocking angle from the effective capacitive compensation provided by PI controller. A neural network with few neurons trained offline is used as an approximator /estimator for each MMGCSCs. This method has been shown effective for small and large disturbances on the IEEE 39 bus power system.

Meeting Name

IEEE Industry Applications Conference 41st IAS Annual Meeting, 2006


Electrical and Computer Engineering


National Science Foundation (U.S.)

Keywords and Phrases

IEEE 39 Bus System; NMPI; Gate Controlled Series Compensator; Neural Networks; Power System Stability

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2006 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Oct 2006