Methodology for online identification of dynamic behavior of power systems with an increased amount of power electronics interface units

Panagiotis N. Papadopoulos; Jovica V. Milanović

doi:10.17775/CSEEJPES.2016.01180

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Methodology for online identification of dynamic behavior of power systems with an increased amount of power electronics interface units

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- Methodology for online identification of dynamic behavior of power systems with an increased amount of power electronics interface units
- Methodology for online identification of dynamic behavior of power systems with an increased amount of power electronics interface units
- 中国电机工程学会电力与能源系统学报(英文) 2019年5卷第2期页码：171-180
- 作者机构：
  
  The University of Manchester,, Manchester, GB,Manchester
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2016.01180
  中图分类号：
- 纸质出版：2019
- 稿件说明：
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Panagiotis N. Papadopoulos, Jovica V. Milanović. Methodology for online identification of dynamic behavior of power systems with an increased amount of power electronics interface units[J]. 中国电机工程学会电力与能源系统学报(英文), 2019,5(2):171-180.

Panagiotis N. Papadopoulos, Jovica V. Milanović. Methodology for online identification of dynamic behavior of power systems with an increased amount of power electronics interface units[J]. CSEE Journal of Power and Energy Systems, 2019, 5(2): 171-180.
Panagiotis N. Papadopoulos, Jovica V. Milanović. Methodology for online identification of dynamic behavior of power systems with an increased amount of power electronics interface units[J]. 中国电机工程学会电力与能源系统学报(英文), 2019,5(2):171-180. DOI： 10.17775/CSEEJPES.2016.01180.

Panagiotis N. Papadopoulos, Jovica V. Milanović. Methodology for online identification of dynamic behavior of power systems with an increased amount of power electronics interface units[J]. CSEE Journal of Power and Energy Systems, 2019, 5(2): 171-180. DOI： 10.17775/CSEEJPES.2016.01180.

摘要

Abstract

A methodology for online and offline dynamic stability assessment

suitable for power systems with high penetration of power electronics interface units is presented in this paper. The increasing penetration of renewable energy resources as well as changing market operations

new types of loads and storage technologies

are causing significant changes to power systems dynamic behavior. Unstable generator groups and generators exhibiting poorly damped oscillatory behavior are identified online

opening the possibility to corrective control actions in order to stabilize the system. Moreover

statistical analysis of the abundant data from simulations provides information on the overall impact of power electronics interface units on system stability.

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