Distributed Price-based Optimal Control of Power Systems

A. Jokic; P.P.J. Bosch, van den; M. Lazar

doi:10.1109/CCA.2007.4389349

Distributed Price-based Optimal Control of Power Systems

A. Jokic, P.P.J. Bosch, van den, M. Lazar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

189 Downloads (Pure)

Abstract

This paper proposes a new control scheme for achieving optimal power balancing in electrical power systems. Optimality is defined via economical criteria related to steady-state operation requirements. Limits on the capacity of the power lines are taken into account via inequality constraints that are added to the optimization problem. Due to these inequality constraints, the resulting control law has a piecewise affine structure. Furthermore, the control action is distributed in the sense that a controller is assigned to each node and each controller communicates only with the controllers associated with the neighboring nodes. We prove that the resulting steady-state solution is optimal. The proposed control structure is a relaxation and an extension of classical "automatic generation control" in power systems, and can be interpreted as a fast acting real-time market for electrical power.

Original language	English
Title of host publication	Proceesings of the 2007 IEEE International Conference on Control Applications (CCA 2007) part of the 2007 IEEE Multi-Conference on Systems and Control (MSC 2007) 1-3 October 2007, Singapore, Singapore
Place of Publication	Piscataway, New Jersey, USA
Publisher	Institute of Electrical and Electronics Engineers
Pages	910-915
ISBN (Print)	978-1-4244-0443-8
DOIs	https://doi.org/10.1109/CCA.2007.4389349
Publication status	Published - 2007
Event	2007 IEEE International Conference on Control Applications (CCA 2007) - Singapore, Singapore Duration: 1 Oct 2007 → 3 Oct 2007

Conference

Conference	2007 IEEE International Conference on Control Applications (CCA 2007)
Abbreviated title	CCA 2007
Country/Territory	Singapore
City	Singapore
Period	1/10/07 → 3/10/07
Other	CCA 2007, Singapore, Singapore

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10.1109/CCA.2007.4389349

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Jokic, A., Bosch, van den, P. P. J., & Lazar, M. (2007). Distributed Price-based Optimal Control of Power Systems. In Proceesings of the 2007 IEEE International Conference on Control Applications (CCA 2007) part of the 2007 IEEE Multi-Conference on Systems and Control (MSC 2007) 1-3 October 2007, Singapore, Singapore (pp. 910-915). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CCA.2007.4389349

Jokic, A. ; Bosch, van den, P.P.J. ; Lazar, M. / Distributed Price-based Optimal Control of Power Systems. Proceesings of the 2007 IEEE International Conference on Control Applications (CCA 2007) part of the 2007 IEEE Multi-Conference on Systems and Control (MSC 2007) 1-3 October 2007, Singapore, Singapore. Piscataway, New Jersey, USA : Institute of Electrical and Electronics Engineers, 2007. pp. 910-915

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title = "Distributed Price-based Optimal Control of Power Systems",

abstract = "This paper proposes a new control scheme for achieving optimal power balancing in electrical power systems. Optimality is defined via economical criteria related to steady-state operation requirements. Limits on the capacity of the power lines are taken into account via inequality constraints that are added to the optimization problem. Due to these inequality constraints, the resulting control law has a piecewise affine structure. Furthermore, the control action is distributed in the sense that a controller is assigned to each node and each controller communicates only with the controllers associated with the neighboring nodes. We prove that the resulting steady-state solution is optimal. The proposed control structure is a relaxation and an extension of classical {"}automatic generation control{"} in power systems, and can be interpreted as a fast acting real-time market for electrical power.",

author = "A. Jokic and {Bosch, van den}, P.P.J. and M. Lazar",

year = "2007",

doi = "10.1109/CCA.2007.4389349",

language = "English",

isbn = "978-1-4244-0443-8",

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publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2007 IEEE International Conference on Control Applications (CCA 2007), CCA 2007 ; Conference date: 01-10-2007 Through 03-10-2007",

}

Jokic, A, Bosch, van den, PPJ & Lazar, M 2007, Distributed Price-based Optimal Control of Power Systems. in Proceesings of the 2007 IEEE International Conference on Control Applications (CCA 2007) part of the 2007 IEEE Multi-Conference on Systems and Control (MSC 2007) 1-3 October 2007, Singapore, Singapore. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey, USA, pp. 910-915, 2007 IEEE International Conference on Control Applications (CCA 2007), Singapore, Singapore, 1/10/07. https://doi.org/10.1109/CCA.2007.4389349

Distributed Price-based Optimal Control of Power Systems. / Jokic, A.; Bosch, van den, P.P.J.; Lazar, M.

Proceesings of the 2007 IEEE International Conference on Control Applications (CCA 2007) part of the 2007 IEEE Multi-Conference on Systems and Control (MSC 2007) 1-3 October 2007, Singapore, Singapore. Piscataway, New Jersey, USA : Institute of Electrical and Electronics Engineers, 2007. p. 910-915.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Distributed Price-based Optimal Control of Power Systems

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AU - Lazar, M.

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N2 - This paper proposes a new control scheme for achieving optimal power balancing in electrical power systems. Optimality is defined via economical criteria related to steady-state operation requirements. Limits on the capacity of the power lines are taken into account via inequality constraints that are added to the optimization problem. Due to these inequality constraints, the resulting control law has a piecewise affine structure. Furthermore, the control action is distributed in the sense that a controller is assigned to each node and each controller communicates only with the controllers associated with the neighboring nodes. We prove that the resulting steady-state solution is optimal. The proposed control structure is a relaxation and an extension of classical "automatic generation control" in power systems, and can be interpreted as a fast acting real-time market for electrical power.

AB - This paper proposes a new control scheme for achieving optimal power balancing in electrical power systems. Optimality is defined via economical criteria related to steady-state operation requirements. Limits on the capacity of the power lines are taken into account via inequality constraints that are added to the optimization problem. Due to these inequality constraints, the resulting control law has a piecewise affine structure. Furthermore, the control action is distributed in the sense that a controller is assigned to each node and each controller communicates only with the controllers associated with the neighboring nodes. We prove that the resulting steady-state solution is optimal. The proposed control structure is a relaxation and an extension of classical "automatic generation control" in power systems, and can be interpreted as a fast acting real-time market for electrical power.

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DO - 10.1109/CCA.2007.4389349

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BT - Proceesings of the 2007 IEEE International Conference on Control Applications (CCA 2007) part of the 2007 IEEE Multi-Conference on Systems and Control (MSC 2007) 1-3 October 2007, Singapore, Singapore

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CY - Piscataway, New Jersey, USA

T2 - 2007 IEEE International Conference on Control Applications (CCA 2007)

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Jokic A, Bosch, van den PPJ, Lazar M. Distributed Price-based Optimal Control of Power Systems. In Proceesings of the 2007 IEEE International Conference on Control Applications (CCA 2007) part of the 2007 IEEE Multi-Conference on Systems and Control (MSC 2007) 1-3 October 2007, Singapore, Singapore. Piscataway, New Jersey, USA: Institute of Electrical and Electronics Engineers. 2007. p. 910-915 doi: 10.1109/CCA.2007.4389349

Distributed Price-based Optimal Control of Power Systems

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