Methodology for online identification of dynamic behavior of power systems with an increased amount of power electronics interface units
Papadopoulos, Panagiotis and Milanović, Jovica V. (2019) Methodology for online identification of dynamic behavior of power systems with an increased amount of power electronics interface units. CSEE Journal of Power and Energy Systems, 5 (2). pp. 171-180. ISSN 2096-0042 (https://doi.org/10.17775/CSEEJPES.2016.01180)
Preview |
Text.
Filename: Papadopoulos_etal_CSEE_JPES_2019_Methodology_for_online_identification_of_dynamic_behavior_of_power_systems.pdf
Final Published Version License: Download (545kB)| Preview |
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.
ORCID iDs
Papadopoulos, Panagiotis ORCID: https://orcid.org/0000-0001-7343-2590 and Milanović, Jovica V.;-
-
Item type: Article ID code: 71352 Dates: DateEvent30 June 2019Published7 March 2019Published Online1 April 2017AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 05 Feb 2020 12:49 Last modified: 26 Nov 2024 01:15 URI: https://strathprints.strath.ac.uk/id/eprint/71352