Smart control application in the oscillations using FACTS (STATCOM and SVC)

Abstract

Context: Reducing the oscillations of the electrical power systems is an important task in order to maintain their stability. This paper presents a methodology for adjusting the parameters of a fuzzy oscillations controller with a Static Var Compensator (SVC) and a Static Synchronous Compensator (STATCOM). Methodology: The methodology consists of tuning a fuzzy controller to dampen oscillations in an electrical power system, with different optimization techniques such as: Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Chaotic Optimization Algorithm (COA). Results: The voltage and speed oscillations of a system composed of a synchronous machine connected to an infinite bus bar (SMIB) are obtained through simulations. There is data before and after connecting a SVC and a STATCOM, installed independently and in different operating conditions. The results obtained show that using a technique for adjusting parameters in the fuzzy controller is better than the adjustment of trial and error. Conclusion: With the obtained results, it is possible to verify the effectiveness of the fuzzy controller using Flexible AC Transmissions Systems (FACTS).

Keywords

• COA
• controlador de oscilaciones
• GA
• PSO
• SMIB
• STATCOM
• SVC