Modeling of the CPS1 for the Frequency Constrained Unit Commitment

Hsin Wei Chiu, Yu Lin Lin, Le Ren Chang-Chien, Chin Chung Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Frequency is an important index to reflect stability of the power system. NERC's Control Performance Standard 1 (CPSI) is to assess control area's ability in maintaining frequency quality. This paper proposes a stepwise regression method to identify important frequency-control correlation factors for developing a CPSI model. The CPSI model is constructed by the Long Short-Term Memory (LSTM) neural network. The well trained CPSI model is then integrated into a unit commitment (UC) program to realize a CPSI compliant UC (UC-CPSI). The performance of the proposed UC-CPSI is validated by simulation case and is compared with the case without the frequency constrained UC.

Original languageEnglish
Title of host publication2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728108131
DOIs
Publication statusPublished - 2019 Dec
Event2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019 - Macao, Macao
Duration: 2019 Dec 12019 Dec 4

Publication series

NameAsia-Pacific Power and Energy Engineering Conference, APPEEC
Volume2019-December
ISSN (Print)2157-4839
ISSN (Electronic)2157-4847

Conference

Conference2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019
CountryMacao
CityMacao
Period19-12-0119-12-04

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology

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