Chance constrained programming based optimal network reconfiguration in smart grid

Shunqi Zeng; Zhao Xu; Fushuan Wen; Loi Lei Lai

doi:10.1109/INDIN.2016.7819242

Chance constrained programming based optimal network reconfiguration in smart grid

Shunqi Zeng, Zhao Xu, Fushuan Wen, Loi Lei Lai

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

The network reconfiguration during power system restoration after blackouts usually takes a long and complex procedure. To address the uncertainties in the restoration steps and time involved, a CCP (Chance Constrained Programming) based method for network reconfiguration scheme optimization is proposed in this paper. The proposed method can generate the best restoration sequence to maximize the benefit of the reconfiguration scheme by taking into account the number of restarted generator-nodes and the cost of power outage saved by the load restoration accordingly. The Differential Evolution (DE) is employed to solve for the optimal solution subject to special requirements of the network reconfiguration operation. A numerical example over the New England 39-bus power system is conducted to demonstrate the effectiveness of the proposed method.

Original language	English
Title of host publication	Proceedings - 2016 IEEE 14th International Conference on Industrial Informatics, INDIN 2016
Publisher	IEEE
Pages	656-662
Number of pages	7
ISBN (Electronic)	9781509028702
DOIs	https://doi.org/10.1109/INDIN.2016.7819242
Publication status	Published - 13 Jan 2017
Event	14th IEEE International Conference on Industrial Informatics, INDIN 2016 - Palais des Congres du Futuroscope, Poitiers, France Duration: 19 Jul 2016 → 21 Jul 2016

Conference

Conference	14th IEEE International Conference on Industrial Informatics, INDIN 2016
Country/Territory	France
City	Poitiers
Period	19/07/16 → 21/07/16

Keywords

chance constrained programming
Differential Evolution
network reconfiguration
Power system restoration

ASJC Scopus subject areas

Computer Science Applications
Information Systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1109/INDIN.2016.7819242

Cite this

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title = "Chance constrained programming based optimal network reconfiguration in smart grid",

abstract = "The network reconfiguration during power system restoration after blackouts usually takes a long and complex procedure. To address the uncertainties in the restoration steps and time involved, a CCP (Chance Constrained Programming) based method for network reconfiguration scheme optimization is proposed in this paper. The proposed method can generate the best restoration sequence to maximize the benefit of the reconfiguration scheme by taking into account the number of restarted generator-nodes and the cost of power outage saved by the load restoration accordingly. The Differential Evolution (DE) is employed to solve for the optimal solution subject to special requirements of the network reconfiguration operation. A numerical example over the New England 39-bus power system is conducted to demonstrate the effectiveness of the proposed method.",

keywords = "chance constrained programming, Differential Evolution, network reconfiguration, Power system restoration",

author = "Shunqi Zeng and Zhao Xu and Fushuan Wen and Lai, {Loi Lei}",

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booktitle = "Proceedings - 2016 IEEE 14th International Conference on Industrial Informatics, INDIN 2016",

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Zeng, S, Xu, Z, Wen, F & Lai, LL 2017, Chance constrained programming based optimal network reconfiguration in smart grid. in Proceedings - 2016 IEEE 14th International Conference on Industrial Informatics, INDIN 2016., 7819242, IEEE, pp. 656-662, 14th IEEE International Conference on Industrial Informatics, INDIN 2016, Poitiers, France, 19/07/16. https://doi.org/10.1109/INDIN.2016.7819242

Chance constrained programming based optimal network reconfiguration in smart grid. / Zeng, Shunqi; Xu, Zhao; Wen, Fushuan et al.
Proceedings - 2016 IEEE 14th International Conference on Industrial Informatics, INDIN 2016. IEEE, 2017. p. 656-662 7819242.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Chance constrained programming based optimal network reconfiguration in smart grid

AU - Zeng, Shunqi

AU - Xu, Zhao

AU - Wen, Fushuan

AU - Lai, Loi Lei

PY - 2017/1/13

Y1 - 2017/1/13

N2 - The network reconfiguration during power system restoration after blackouts usually takes a long and complex procedure. To address the uncertainties in the restoration steps and time involved, a CCP (Chance Constrained Programming) based method for network reconfiguration scheme optimization is proposed in this paper. The proposed method can generate the best restoration sequence to maximize the benefit of the reconfiguration scheme by taking into account the number of restarted generator-nodes and the cost of power outage saved by the load restoration accordingly. The Differential Evolution (DE) is employed to solve for the optimal solution subject to special requirements of the network reconfiguration operation. A numerical example over the New England 39-bus power system is conducted to demonstrate the effectiveness of the proposed method.

AB - The network reconfiguration during power system restoration after blackouts usually takes a long and complex procedure. To address the uncertainties in the restoration steps and time involved, a CCP (Chance Constrained Programming) based method for network reconfiguration scheme optimization is proposed in this paper. The proposed method can generate the best restoration sequence to maximize the benefit of the reconfiguration scheme by taking into account the number of restarted generator-nodes and the cost of power outage saved by the load restoration accordingly. The Differential Evolution (DE) is employed to solve for the optimal solution subject to special requirements of the network reconfiguration operation. A numerical example over the New England 39-bus power system is conducted to demonstrate the effectiveness of the proposed method.

KW - chance constrained programming

KW - Differential Evolution

KW - network reconfiguration

KW - Power system restoration

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PB - IEEE

T2 - 14th IEEE International Conference on Industrial Informatics, INDIN 2016

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ER -

Chance constrained programming based optimal network reconfiguration in smart grid

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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