LAPSE:2019.1389
Published Article
LAPSE:2019.1389
Decentralized Framework for Optimal Price-Based Power System Operation Using Feedback Control Mechanism
Young Gyu Jin, Seung Wan Kim, Si Young Lee, Yong Tae Yoon
December 10, 2019
Future power systems are expected to have distributed energy resources (DERs). A price-based operation (PBO), where dynamic prices are used as the control signal, can be an alternative scheme to address challenging operational issues in the future power systems. In this paper, a decentralized framework for optimal PBO using a feedback control mechanism is proposed to determine the nodal prices for power balance and congestion management. The substructures and feedback controllers of the proposed framework are derived based on the optimal power flow (OPF) method. Thus, the framework guarantees optimality for all situations in real-time and enables the use of various types of controllers. The effectiveness of the proposed framework is verified with the IEEE 39 bus network under some scenarios, such as the failure of a generator and a transmission line. The results clearly demonstrate that the proposed framework successfully resolves the balance and congestion problems by generating appropriate nodal prices in the PBO and provides a solution similar to the optimal solution determined by the conventional OPF method.
Keywords
congestion management, decentralized system, nodal prices, optimal power flow, power system operation
Suggested Citation
Jin YG, Kim SW, Lee SY, Yoon YT. Decentralized Framework for Optimal Price-Based Power System Operation Using Feedback Control Mechanism. (2019). LAPSE:2019.1389
Author Affiliations
Jin YG: Department of Electrical Engineering, Jeju National University, 102 Jejudaehakno, Jeju-si, Jeju-do 63243, Korea
Kim SW: Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Lee SY: Department of Industrial Engineering Institute of Engineering Research, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Yoon YT: Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
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Journal Name
Energies
Volume
10
Issue
3
Article Number
E291
Year
2017
Publication Date
2017-03-01
Published Version
ISSN
1996-1073
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PII: en10030291, Publication Type: Journal Article
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LAPSE:2019.1389
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doi:10.3390/en10030291
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Dec 10, 2019
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Dec 10, 2019
 
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Calvin Tsay
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