OPTIMAL SVC PLACEMENT FOR LOSS MINIMIZATION IN ELECTRIC POWER NETWORKS USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Student Master of Electrical Engineering, L.D. College of engineering, India
ABSTRACT
The problem of reducing power losses in electrical networks is a task that must be solved in an optimal manner. At present, this optimality can be achieved by efficient usage of existing facilities along with installing FACTS devices. The Static VAr Compensator (SVC) is chosen for study because of its maturity as well as acceptable costs. In the study, genetic algorithm (GA) is trying to identify the optimal location and size of the Static VAr Compensator (SVC). The computer program is run on IEEE 30- bus test system, assessing reducing power losses, and also checking Voltage profile and voltage deviation of the system under consideration. The purpose of this study is to validate the solution method and Check GA for it to be adapted for systems of higher dimensionality.
