Coordinated Restoration of Transmission and Distribution System Using Decentralized Scheme

Research output: Contribution to journalJournal article – Annual report year: 2019Researchpeer-review

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Coordinated Restoration of Transmission and Distribution System Using Decentralized Scheme. / Zhao, Jin; Wang, Hongtao ; Liu, Yutian; Wu, Qiuwei; Wang, Zhaoyu; Liu, Yao.

In: I E E E Transactions on Power Systems, 2019.

Research output: Contribution to journalJournal article – Annual report year: 2019Researchpeer-review

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@article{119256eefb4842b38fddcc52ad76f620,
title = "Coordinated Restoration of Transmission and Distribution System Using Decentralized Scheme",
abstract = "This paper proposes a new decentralized restoration scheme in order to realize efficient coordinated restoration of the coupled transmission and distribution (TS-DS) system. First, considering the separated operation of the TS operator (TSO) and DS operators (DSOs) and to avoid the TSO data processing burden, the TS-DS system is divided into several subsystems according to their physical connection. Then, in order to implement the independent but coordinated decision-making of the subsystems, a decentralized decision-making framework is constructed by model decoupling and iterative interaction between TS and DS. Furthermore, for the sake of the convergence of the iterative process with non-convex models, a new decentralized optimization method is developed to obtain the optimal coordinated restoration strategy of the TS-DS system. The proposed decentralized restoration scheme achieves independent decision-making of the TSO and DSOs in the coupled TS-DS system, and solves the non-convergence problem of the decentralized optimization method. The effectiveness of the proposed method is validated using two IEEE standard test systems and a real-world power system.",
keywords = "Bulk power system, Coordinated restoration, Coordination of transmission and distribution systems, Power system restoration",
author = "Jin Zhao and Hongtao Wang and Yutian Liu and Qiuwei Wu and Zhaoyu Wang and Yao Liu",
year = "2019",
language = "English",
journal = "I E E E Transactions on Power Systems",
issn = "0885-8950",
publisher = "Institute of Electrical and Electronics Engineers",

}

RIS

TY - JOUR

T1 - Coordinated Restoration of Transmission and Distribution System Using Decentralized Scheme

AU - Zhao, Jin

AU - Wang, Hongtao

AU - Liu, Yutian

AU - Wu, Qiuwei

AU - Wang, Zhaoyu

AU - Liu, Yao

PY - 2019

Y1 - 2019

N2 - This paper proposes a new decentralized restoration scheme in order to realize efficient coordinated restoration of the coupled transmission and distribution (TS-DS) system. First, considering the separated operation of the TS operator (TSO) and DS operators (DSOs) and to avoid the TSO data processing burden, the TS-DS system is divided into several subsystems according to their physical connection. Then, in order to implement the independent but coordinated decision-making of the subsystems, a decentralized decision-making framework is constructed by model decoupling and iterative interaction between TS and DS. Furthermore, for the sake of the convergence of the iterative process with non-convex models, a new decentralized optimization method is developed to obtain the optimal coordinated restoration strategy of the TS-DS system. The proposed decentralized restoration scheme achieves independent decision-making of the TSO and DSOs in the coupled TS-DS system, and solves the non-convergence problem of the decentralized optimization method. The effectiveness of the proposed method is validated using two IEEE standard test systems and a real-world power system.

AB - This paper proposes a new decentralized restoration scheme in order to realize efficient coordinated restoration of the coupled transmission and distribution (TS-DS) system. First, considering the separated operation of the TS operator (TSO) and DS operators (DSOs) and to avoid the TSO data processing burden, the TS-DS system is divided into several subsystems according to their physical connection. Then, in order to implement the independent but coordinated decision-making of the subsystems, a decentralized decision-making framework is constructed by model decoupling and iterative interaction between TS and DS. Furthermore, for the sake of the convergence of the iterative process with non-convex models, a new decentralized optimization method is developed to obtain the optimal coordinated restoration strategy of the TS-DS system. The proposed decentralized restoration scheme achieves independent decision-making of the TSO and DSOs in the coupled TS-DS system, and solves the non-convergence problem of the decentralized optimization method. The effectiveness of the proposed method is validated using two IEEE standard test systems and a real-world power system.

KW - Bulk power system

KW - Coordinated restoration

KW - Coordination of transmission and distribution systems

KW - Power system restoration

M3 - Journal article

JO - I E E E Transactions on Power Systems

JF - I E E E Transactions on Power Systems

SN - 0885-8950

ER -