Decentralised coordination of facts devices for power system stability enhancement using intelligent programming

Abstract

Purpose

This paper seeks to propose a systematic method to design multi fuzzy FACTS based stabilizers in a multi‐machine power system.

Design/methodology/approach

Conventional FACTS based stabilizers are decentralized controllers that adopt local measurements and operate in closed loop. To improve overall system dynamic performance, a coordinating application of FACTS based stabilizer is essential. Although, numerous researches have indicated the effectiveness and superiority of fuzzy logic controllers in comparison with the conventional linear controllers in power system application but researchers have not adequately investigated coordination of multi fuzzy controllers in multi‐machine power systems to provide optimal performance. Genetic algorithm is used to determine optimum values of controllers' parameters.

Findings

The search space of the optimisation procedure is decreased to a smaller one, design and computation time can be reduced significantly and the design process becomes more systematic.

Originality/value

A systematic method is introduced to coordinate multi fuzzy FACTS based stabilizers in multi‐machine power systems.

Citation

Oukati Sadegh, M. and Lo, K.L. (2005), "Decentralised coordination of facts devices for power system stability enhancement using intelligent programming", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 24 No. 1, pp. 179-201. https://doi.org/10.1108/03321640510571138