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Realization of the WAMS based power system aggregate load area model

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

The load places a very important role in power system stability. It greatly affects the system stability assessment results of a power system to a large extent. This paper focuses on the realization of aggregate load area model (ALAM) analysis. The ALAM model is based on the output of a power system wide area measurement system (WAMS). The parameter identifiability regarding the ALAM is studied in this paper. The case study of a simple power system shows that by using the proposed two step optimal ALAM load modeling method, the determined parameters of the ALAM model is much accurate and the ALAM model can perform sufficiently accuracy to the real load area. © 2008 IEEE.
Original languageEnglish
Title of host publicationIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES - Pittsburgh, PA, United States
Duration: 20 Jul 2008 → 24 Jul 2008

Publication series

NameIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES

Conference

ConferenceIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES
PlaceUnited States
CityPittsburgh, PA
Period20/07/08 → 24/07/08

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Aggregate load area model
  • Load model
  • Parameter identifiability
  • Parameter identification
  • WAMS

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