Preview

Power engineering: research, equipment, technology

Advanced search

Optimal setting automatic excitation controllers for synchronous generators

https://doi.org/10.30724/1998-9903-2016-0-11-12-77-83

Abstract

At present, the power system of the Russian Federation is an active modernization of generator excitation systems. In this connection, there is the problem of choosing the new settings excitation controllers of various types to ensure effective damping of electromechanical oscillations. Various optimization techniques required objective functions, developed on the basis of the root and frequency criteria for evaluation ofparameters of the regulatory process for the proper functioning of the automatic excitation controller for synchronous generator (AEC SG), working in different scheme-regime situations. Produced practical study received AEC SG setup parameters to software and hardware complex RTDS (Real Time Digital Simulator) for program certification tests defined in Standard of System Operator of the Unified Power System. On the basis of performed measurements obtained after simulating different perturbations are determined optimal settings. It is considered the most sensitive and rapid methods for their production, based on a direct and more complex mathematical methods. The identified high-speed methods of search of optimal AEC SG parameters allow at changing grid settings to calculate values for the coefficients and time constants and thus in case of electromechanical oscillations to provide effective damping.

About the Authors

R. I. Kanafeev
Национальный исследовательский университет «МЭИ»
Russian Federation


A. D. Zhirnov
Национальный исследовательский университет «МЭИ»
Russian Federation


T. G. Klimova
Национальный исследовательский университет «МЭИ»
Russian Federation


References

1. СТО 59012820.29.160.20.001-2012. Стандарт организации. Требования к системам возбуждения и автоматическим регуляторам возбуждения сильного действия синхронных генераторов. М., 2012.

2. Курейчик В.В., Курейчик В.М. Генетические алгоритмы. М.: Физматлит, 2006.

3. Арцишевский Я.Л., Климова Т.Г., Жуков А.В., Сацук Е.И., Расщепляев А.И. Использование программно-аппаратного комплекса RTDS для анализа функционирования автоматических регуляторов возбуждения. Создание тестовых схем // Энергетик. 2013. №9.

4. Сорокин Д.В. Выбор настроек АРВ генераторов сложной энергосистемы на основе применения генетического алгоритма и методов модального анализа: дис.. канд. техн. наук: 05.14.02 /Д.В. Сорокин; СПбГПУ; Науч.рук. С.В.Смоловик. Санкт-Петербург, 2009.

5. J. Xiao, J. Han, J. Wu, Dynamic Tracking of Low-frequency Oscillations with Improved Prony Method in Wide-Area Measurement System. IEEE Power Meeting 2004. Denver.

6. Task Force on Identification of Electromechanical Modes, Identification of Electromechanical Modes in Power Systems, IEEE Task Force Report, 2012.

7. 2-2014-IEEE Guide for Identification, Testing, and Evaluation of the Dynamic Performance of Excitation Control Systems.

8. Веников В.А. Переходные электромеханические процессы в электрических системах: Учеб. для электроэнергет. спец. вузов. 4-е изд. перераб. и доп. М.: Высш. шк., 1985. 536 с.


Review

For citations:


Kanafeev R.I., Zhirnov A.D., Klimova T.G. Optimal setting automatic excitation controllers for synchronous generators. Power engineering: research, equipment, technology. 2016;(11-12):77-83. (In Russ.) https://doi.org/10.30724/1998-9903-2016-0-11-12-77-83

Views: 499


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1998-9903 (Print)
ISSN 2658-5456 (Online)