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The static Synchronous Compensator (STATCOM) is a solid-state shunt device that generates or absorbs reactive power and is one member of a family devices known as Flexible AC Transmission System (FACTS) devices. It is superior to the static VAR Compensator (SVC) in many ways. In this work it is suggested to use the (STATCOM) in the existing H.V. Iraqi North Region National Grid (INRNG) for the first time. The best location of the (STATCOM) is obtained using load flow study which is also used to determine the optimal value of the reactive power needed at different load conditions. The paper discusses a method of optimizing the operation of the (STATCOM) using intelligent techniques. The method uses the Artificial Neural Network (ANN). The obtained results using load flow program are considered as the input data to train the (ANN). Then any value within the training data limit can be used to get the optimal value of the (STATCOM) output. The data of the (INRNG) for the year 2001 is used to verify the validity of the proposed method.

An Intelligent Technique For Optimizing The Operation Of A Static Synchronous Compensator In Northern Iraqi Network