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A Phase Measurement Unit Based Fast Real-Time Oscillation Detection Application for Monitoring Wind Farm-to-Grid sub-synchronous Dynamics
KTH, School of Electrical Engineering (EES), Electric Power Systems. (Smart Transmission Systems Lab)ORCID iD: 0000-0002-4125-1055
KTH, School of Electrical Engineering (EES), Electric Power Systems. (SmarTS Lab)ORCID iD: 0000-0003-2353-1683
KTH, School of Electrical Engineering (EES), Electric Power Systems. (SmarTS-Lab)ORCID iD: 0000-0002-6749-8785
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2016 (English)In: Electric power components and systems, ISSN 1532-5008, E-ISSN 1532-5016, Vol. 44, no 2, 123-134 p.Article in journal (Refereed) Published
Abstract [en]

The increase of wind power share increasing has lead to operational challenges for its integration and impact on power grids. Regarding this, unexpected dynamic phenomena, such as oscillatory events around 13 Hz among different wind farms were recorded in the United States of America (USA) by Oklahoma Gas & Electric (OG&E). Such interactions differ from traditional inter-areaoscillations, and the ability to detect them is beyond measurement capabilities of most of existing measurement equipment and monitoring tools in energy management systems. This paper presents the development and implementation of algorithms for fast sub–synchronous oscillation detection, focusing on the aforementioned case. It proposes a real-time monitoring application that exploits synchronized phasormeasurements allowing real-time detection of sub–synchronous wind farm dynamics. This tool was built as a prototype for real-time application and utilizes Phasor Measurement Unit (PMU) data for enhanced monitoring and control. The paper focuses on the tool’s design and its algorithms. Also, it will briefly present three approaches carried out for testing and validating the PMU–based application, one of them compares the proposed tool with an existing tool at OG&E. Through such experiments the tool presented in the paper has been positively validated for real time applications

Place, publisher, year, edition, pages
Taylor & Francis Group, 2016. Vol. 44, no 2, 123-134 p.
Keyword [en]
power system oscillations, monitoring application, PMU, wind farm, sub-synchronous oscillations
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-177680DOI: 10.1080/15325008.2015.1101727ISI: 000367845000001Scopus ID: 2-s2.0-84954367884OAI: oai:DiVA.org:kth-177680DiVA: diva2:874096
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Note

QC 20160115. QC 20160205

Available from: 2015-11-25 Created: 2015-11-25 Last updated: 2017-12-01Bibliographically approved

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Vanfretti, LuigiBaudette, Maxime

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