Abstract

A method is proposed to fit parameters of Power System Stabilizer controllers in electromechanical multimachine power systems. The use of the Non-dominated Sorting Genetic Algorithm II heuristic method and Tabu search is considered to be initial search criteria. These methods give an approximation of the values that define the controllers. Then, the stochastic approach was used to evaluate the behavior of the parameters found when considering the system’s response to the presence of random and self-sustained in-time disturbances that affect the response of the system under steady state. The stochastic approach allows the evaluation of the system’s response through the calculation of the cost of energy loss under steady state. The method is applied to two systems: a three-machine nine-busbar system, and the Interconnected System of the Greater North (Sistema Interconectado del Norte Grande) in Chile. For these systems, the proposed methodology effectively optimized the controllers and Tabu search was shown to have a better performance than the Non-dominated Sorting Genetic Algorithm II.

Highlights

  • In the operation of EPS, there are phenomena that can affect the response of the system and risk its stability due to the occurrence of disturbances that can cause oscillations with different frequencies, from which the electromechanical oscillations are the most harmful to the system

  • From the traditional standpoint, where only dynamic events that occur at a single time instant are considered, we have shown that the dynamics of the SING improves substantially when 22 controllers instead of only five are considered

  • A method has been presented for tuning PSS controllers in multimachine systems, considering heuristic tools and validating the results obtained from static and dynamic simulations, succeeding in damping the system’s oscillatory modes

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Summary

Introduction

In the operation of EPS, there are phenomena that can affect the response of the system and risk its stability due to the occurrence of disturbances that can cause oscillations with different frequencies, from which the electromechanical oscillations are the most harmful to the system. The events that can occur during the operation of the system go from sudden variations at the generation and demand level, unexpected changes in the topology of the transmission system, and events that are usually neglected, such as variations of the reference signals of the excitation systems of the machines. Those that have just been mentioned can be used to define design criteria and in that way optimize the system’s operation and evaluate the behavior of the different control elements that exist in it. PSS have been elements widely used to help a system respond to the disturbances mentioned above.

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