Modeling of the CPS1 for the Frequency Constrained Unit Commitment

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

doi:10.1109/APPEEC45492.2019.8994656

Modeling of the CPS1 for the Frequency Constrained Unit Commitment

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

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728108131
DOIs	https://doi.org/10.1109/APPEEC45492.2019.8994656
Publication status	Published - 2019 Dec
Event	2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019 - Macao, Macao Duration: 2019 Dec 1 → 2019 Dec 4

Publication series

Name	Asia-Pacific Power and Energy Engineering Conference, APPEEC
Volume	2019-December
ISSN (Print)	2157-4839
ISSN (Electronic)	2157-4847

Conference

Conference	2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019
Country	Macao
City	Macao
Period	19-12-01 → 19-12-04

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology

Access to Document

10.1109/APPEEC45492.2019.8994656

Fingerprint Dive into the research topics of 'Modeling of the CPS1 for the Frequency Constrained Unit Commitment'. Together they form a unique fingerprint.

Cite this

Chiu, H. W., Lin, Y. L., Chang-Chien, L. R., & Wu, C. C. (2019). Modeling of the CPS1 for the Frequency Constrained Unit Commitment. In 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019 [8994656] (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2019-December). IEEE Computer Society. https://doi.org/10.1109/APPEEC45492.2019.8994656

@inproceedings{61ee03024b1641929a2538cb49812b52,

title = "Modeling of the CPS1 for the Frequency Constrained Unit Commitment",

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.",

author = "Chiu, {Hsin Wei} and Lin, {Yu Lin} and Chang-Chien, {Le Ren} and Wu, {Chin Chung}",

year = "2019",

month = dec,

doi = "10.1109/APPEEC45492.2019.8994656",

language = "English",

series = "Asia-Pacific Power and Energy Engineering Conference, APPEEC",

publisher = "IEEE Computer Society",

booktitle = "2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019",

address = "United States",

note = "2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019 ; Conference date: 01-12-2019 Through 04-12-2019",

}

Chiu, HW, Lin, YL, Chang-Chien, LR & Wu, CC 2019, Modeling of the CPS1 for the Frequency Constrained Unit Commitment. in 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019., 8994656, Asia-Pacific Power and Energy Engineering Conference, APPEEC, vol. 2019-December, IEEE Computer Society, 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019, Macao, Macao, 19-12-01. https://doi.org/10.1109/APPEEC45492.2019.8994656

Modeling of the CPS1 for the Frequency Constrained Unit Commitment. / Chiu, Hsin Wei; Lin, Yu Lin; Chang-Chien, Le Ren; Wu, Chin Chung.

2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019. IEEE Computer Society, 2019. 8994656 (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2019-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Modeling of the CPS1 for the Frequency Constrained Unit Commitment

AU - Chiu, Hsin Wei

AU - Lin, Yu Lin

AU - Chang-Chien, Le Ren

AU - Wu, Chin Chung

PY - 2019/12

Y1 - 2019/12

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85081090747&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85081090747&partnerID=8YFLogxK

U2 - 10.1109/APPEEC45492.2019.8994656

DO - 10.1109/APPEEC45492.2019.8994656

M3 - Conference contribution

AN - SCOPUS:85081090747

T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC

BT - 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019

PB - IEEE Computer Society

T2 - 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019

Y2 - 1 December 2019 through 4 December 2019

ER -