FACTS location and size for reactive power system compensation through the multi-objective optimization

Author:

Belazzoug Messaoud,Boudour Mohamed,Sebaa Karim

Abstract

FACTS location and size for reactive power system compensation through the multi-objective optimizationThe problem of the FACTS (Flexible Alternative Current Transmission System Devices) location and size for reactive power system compensation through the multi-objective optimization is presented in this paper. A new technique is proposed for the optimal setting, dimension and design of two kinds of FACTS namely: Static Volt Ampere reactive (VAR) Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) handling the minimization of transmission losses in electrical network. Using the proposed scheme, the type, the location and the rating of FACTS devices are optimized simultaneously. The problem to solve is multi criteria under constraints related to the load flow equations, the voltages, the transformer turn ratios, the active and reactive productions and the compensation devices. Its solution requires the the advanced algorithms to be applied. Thus, we propose an approach based on the evolutionary algorithms (EA) to solve multi-criterion problem. It is similar to the NSGA-II method (Ellitist Non Dominated Sorting Genetic Algorithm). The Pareto front is obtained for continuous, discrete and multiple of five MVArs (Mega Volt Ampere reactive) of compensator devices for the IEEE 57-bus test system (IEEE bus test is a standard network).

Publisher

Walter de Gruyter GmbH

Subject

Control and Optimization,Modeling and Simulation,Control and Systems Engineering

Reference19 articles.

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2. Applications of fuzzy logic in power systems. III. Example applications;Y. Song;Power Engineering J,1999

3. C. Fonseca: Multiobjective genetic algorithms with application to control engineering problems. PhD Thesis, Department of Automatic Control and Systems Engineering, The University of Sheffild, September, 1995.

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