Decision tree-based preventive and corrective control applications for dynamic security enhancement in power systems

Istemihan Genc; Ruisheng Diao; Vijay Vittal; Sharma Kolluri; Sujit Mandal

doi:10.1109/TPWRS.2009.2037006

Decision tree-based preventive and corrective control applications for dynamic security enhancement in power systems

Istemihan Genc^*
, Ruisheng Diao
, Vijay Vittal
, Sharma Kolluri
, Sujit Mandal

^*Bu çalışma için yazışmadan sorumlu yazar

Elektrik Mühendisliği Bölümü

Arizona State University
Entergy Corporation

Araştırma çıktısı: Dergi yayını › Makale › Hakem

173 Atıf (Scopus)

Özet

In this paper, decision tree (DT)-based preventive and corrective control methods are proposed to enhance the dynamic security of power systems against the credible contingencies causing transient instabilities. Preventive and corrective controls such as generation rescheduling and load shedding schemes, respectively, are developed based on the security regions and boundaries that are calculated in the space of appropriate decision variables. The security regions and boundaries are determined by the rules of DTs that are developed by the generated knowledge bases. This work also involves improving the accuracy of security boundaries as well as the optimal solutions for the fuel cost and load shedding optimization problems encountered in the preventive and corrective controls. The methods are implemented on the Entergy power system model.

Orijinal dil	İngilizce
Makale numarası	5374083
Sayfa (başlangıç-bitiş)	1611-1619
Sayfa sayısı	9
Dergi	IEEE Transactions on Power Systems
Hacim	25
Basın numarası	3
DOI'lar	https://doi.org/10.1109/TPWRS.2009.2037006
Yayın durumu	Yayınlandı - Ağu 2010

Finansman

Manuscript received June 18, 2009; revised September 17, 2009. First published January 08, 2010; current version published July 21, 2010. This work was supported in part by The Scientific and Technological Research Council of Turkey (TUBITAK). Paper no. TPWRS-00464-2009. I. Genc is with the Department of Electrical Engineering, Istanbul Technical University, Maslak, Istanbul 34469, Turkey (e-mail: [email protected]). R. Diao and V. Vittal are with the Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287 USA (e-mail: [email protected]; [email protected]; [email protected]). S. Kolluri and S. Mandal are with Entergy Services, Inc., New Orleans, LA 70113 USA (e-mail: [email protected]; [email protected]). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TPWRS.2009.2037006

Finansörler	Finansör numarası
TUBITAK	TPWRS-00464-2009
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Belgeye Erişim

10.1109/TPWRS.2009.2037006

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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abstract = "In this paper, decision tree (DT)-based preventive and corrective control methods are proposed to enhance the dynamic security of power systems against the credible contingencies causing transient instabilities. Preventive and corrective controls such as generation rescheduling and load shedding schemes, respectively, are developed based on the security regions and boundaries that are calculated in the space of appropriate decision variables. The security regions and boundaries are determined by the rules of DTs that are developed by the generated knowledge bases. This work also involves improving the accuracy of security boundaries as well as the optimal solutions for the fuel cost and load shedding optimization problems encountered in the preventive and corrective controls. The methods are implemented on the Entergy power system model.",

keywords = "Corrective control, dynamic security assessment, preventive control",

author = "Istemihan Genc and Ruisheng Diao and Vijay Vittal and Sharma Kolluri and Sujit Mandal",

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AU - Mandal, Sujit

PY - 2010/8

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AB - In this paper, decision tree (DT)-based preventive and corrective control methods are proposed to enhance the dynamic security of power systems against the credible contingencies causing transient instabilities. Preventive and corrective controls such as generation rescheduling and load shedding schemes, respectively, are developed based on the security regions and boundaries that are calculated in the space of appropriate decision variables. The security regions and boundaries are determined by the rules of DTs that are developed by the generated knowledge bases. This work also involves improving the accuracy of security boundaries as well as the optimal solutions for the fuel cost and load shedding optimization problems encountered in the preventive and corrective controls. The methods are implemented on the Entergy power system model.

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Decision tree-based preventive and corrective control applications for dynamic security enhancement in power systems

Özet

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Belgeye Erişim

Diğer Dosyalar ve Linkler

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