Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution

Jia Liu; Zao Tang; Peter Pingliang Zeng; Yalou Li; Qiuwei Wu

doi:10.1016/j.egyr.2021.11.059

Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution

Jia Liu, Zao Tang, Peter Pingliang Zeng^*, Yalou Li, Qiuwei Wu

^*Corresponding author for this work

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Abstract

The distribution system is normally equivalent as a dynamic power injected at the interconnected transmission bus. This cannot unlock the potential benefits of transmission–distribution interaction. To tackle this problem, this paper proposes a distributed stochastic optimization approach to simultaneously determine distribution system operation and transmission system planning. Uncertainties in the distribution and transmission systems are modelled using numbers of typical scenarios. The original problem is decomposed into the upper transmission network planning level and the lower distribution network operation one. Both two levels are linearized using a piecewise linearization approach to guarantee the convergence properties of the algorithm. Simulation results investigated on the integrated T24D9 system testify the high performance of the presented distributed framework. With the coordination of distribution systems, the transmission network planning solution decreases the investment and improves the renewable energy recommendation.

Original language	English
Journal	Energy Reports
Volume	8
Issue number	Supplement 1
Pages (from-to)	501-509
DOIs	https://doi.org/10.1016/j.egyr.2021.11.059
Publication status	Published - 2022
Event	8^th International Conference on Power and Energy Systems Engineering - Fukuoka, Japan Duration: 10 Sep 2021 → 12 Sep 2021

Conference

Conference	8^th International Conference on Power and Energy Systems Engineering
Country/Territory	Japan
City	Fukuoka
Period	10/09/2021 → 12/09/2021

Keywords

Decentralized optimization
Distribution network operation
Piecewise linearization
Transmission network planning
Uncertainties

UN SDGs

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

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10.1016/j.egyr.2021.11.059

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title = "Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution",

abstract = "The distribution system is normally equivalent as a dynamic power injected at the interconnected transmission bus. This cannot unlock the potential benefits of transmission–distribution interaction. To tackle this problem, this paper proposes a distributed stochastic optimization approach to simultaneously determine distribution system operation and transmission system planning. Uncertainties in the distribution and transmission systems are modelled using numbers of typical scenarios. The original problem is decomposed into the upper transmission network planning level and the lower distribution network operation one. Both two levels are linearized using a piecewise linearization approach to guarantee the convergence properties of the algorithm. Simulation results investigated on the integrated T24D9 system testify the high performance of the presented distributed framework. With the coordination of distribution systems, the transmission network planning solution decreases the investment and improves the renewable energy recommendation.",

keywords = "Decentralized optimization, Distribution network operation, Piecewise linearization, Transmission network planning, Uncertainties",

author = "Jia Liu and Zao Tang and Zeng, {Peter Pingliang} and Yalou Li and Qiuwei Wu",

year = "2022",

doi = "10.1016/j.egyr.2021.11.059",

language = "English",

volume = "8",

pages = "501--509",

journal = "Energy Reports",

issn = "2352-4847",

publisher = "Elsevier",

number = "Supplement 1",

note = "8<sup>th</sup> International Conference on Power and Energy Systems Engineering, CPESE 2021 ; Conference date: 10-09-2021 Through 12-09-2021",

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TY - JOUR

T1 - Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution

AU - Liu, Jia

AU - Tang, Zao

AU - Zeng, Peter Pingliang

AU - Li, Yalou

AU - Wu, Qiuwei

PY - 2022

Y1 - 2022

N2 - The distribution system is normally equivalent as a dynamic power injected at the interconnected transmission bus. This cannot unlock the potential benefits of transmission–distribution interaction. To tackle this problem, this paper proposes a distributed stochastic optimization approach to simultaneously determine distribution system operation and transmission system planning. Uncertainties in the distribution and transmission systems are modelled using numbers of typical scenarios. The original problem is decomposed into the upper transmission network planning level and the lower distribution network operation one. Both two levels are linearized using a piecewise linearization approach to guarantee the convergence properties of the algorithm. Simulation results investigated on the integrated T24D9 system testify the high performance of the presented distributed framework. With the coordination of distribution systems, the transmission network planning solution decreases the investment and improves the renewable energy recommendation.

AB - The distribution system is normally equivalent as a dynamic power injected at the interconnected transmission bus. This cannot unlock the potential benefits of transmission–distribution interaction. To tackle this problem, this paper proposes a distributed stochastic optimization approach to simultaneously determine distribution system operation and transmission system planning. Uncertainties in the distribution and transmission systems are modelled using numbers of typical scenarios. The original problem is decomposed into the upper transmission network planning level and the lower distribution network operation one. Both two levels are linearized using a piecewise linearization approach to guarantee the convergence properties of the algorithm. Simulation results investigated on the integrated T24D9 system testify the high performance of the presented distributed framework. With the coordination of distribution systems, the transmission network planning solution decreases the investment and improves the renewable energy recommendation.

KW - Decentralized optimization

KW - Distribution network operation

KW - Piecewise linearization

KW - Transmission network planning

KW - Uncertainties

U2 - 10.1016/j.egyr.2021.11.059

DO - 10.1016/j.egyr.2021.11.059

M3 - Journal article

VL - 8

SP - 501

EP - 509

JO - Energy Reports

JF - Energy Reports

SN - 2352-4847

IS - Supplement 1

T2 - 8<sup>th</sup> International Conference on Power and Energy Systems Engineering

Y2 - 10 September 2021 through 12 September 2021

ER -

Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution

Abstract

Conference

Keywords

UN SDGs

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