Distributionally robust hierarchical multi-objective voltage risk management for unbalanced distribution systems

Shida Zhang; Shaoyun Ge; Hong Liu; Bo Zhao; Chouwei Ni; Zhengyang Xu; Chenghong Gu

doi:10.1016/j.ijepes.2023.109446

Distributionally robust hierarchical multi-objective voltage risk management for unbalanced distribution systems

Shida Zhang, Shaoyun Ge, Hong Liu, Bo Zhao, Chouwei Ni, Zhengyang Xu, Chenghong Gu

Research output: Contribution to journal › Article › peer-review

10 Citations (SciVal)

Abstract

The large-scale integration of renewable energy generators (REGs) is key to reducing carbon emissions. However, the intermittency of REG outputs poses operational risk challenges on distribution systems (DSs). This paper proposes a novel Wasserstein-based distributionally robust assessment for the voltage risk index that represents both likelihood and non-linearly increasing severity of voltage violations. We propose a hierarchical DRO model for risk management that integrates a multi-objective distributionally robust optimization (DRO) at the distribution system operator (DSO) level and a basic DRO at the user level. Then, a systematic solution method is developed, where the proposed model is equivalently reformulated into tractable bilevel mixed-integer convex programs. The effectiveness, advantages, and scalability of the proposed method are validated on the IEEE 33-bus system and unbalanced IEEE-123-bus system.

Original language	English
Article number	109446
Number of pages	21
Journal	International Journal of Electrical Power and Energy Systems
Volume	154
Early online date	2 Sept 2023
DOIs	https://doi.org/10.1016/j.ijepes.2023.109446
Publication status	Published - 31 Dec 2023

Bibliographical note

Funding Information:
This work is supported by Key Technology Project of State Grid Corporation of China (Key technology research and application of prefecture-level carbon and electricity coordinated grid regulation and control with a high proportion of distributed clean energy, 5100-202119565A-0-5-SF).

Funding

This work is supported by Key Technology Project of State Grid Corporation of China (Key technology research and application of prefecture-level carbon and electricity coordinated grid regulation and control with a high proportion of distributed clean energy, 5100-202119565A-0-5-SF).

Keywords

Carbon tax
Distributionally robust optimization
Renewable energy generators
Security risk management
Unbalanced distribution systems
Voltage risk assessment

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

UN SDGs

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

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10.1016/j.ijepes.2023.109446

Cite this

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title = "Distributionally robust hierarchical multi-objective voltage risk management for unbalanced distribution systems",

abstract = "The large-scale integration of renewable energy generators (REGs) is key to reducing carbon emissions. However, the intermittency of REG outputs poses operational risk challenges on distribution systems (DSs). This paper proposes a novel Wasserstein-based distributionally robust assessment for the voltage risk index that represents both likelihood and non-linearly increasing severity of voltage violations. We propose a hierarchical DRO model for risk management that integrates a multi-objective distributionally robust optimization (DRO) at the distribution system operator (DSO) level and a basic DRO at the user level. Then, a systematic solution method is developed, where the proposed model is equivalently reformulated into tractable bilevel mixed-integer convex programs. The effectiveness, advantages, and scalability of the proposed method are validated on the IEEE 33-bus system and unbalanced IEEE-123-bus system.",

keywords = "Carbon tax, Distributionally robust optimization, Renewable energy generators, Security risk management, Unbalanced distribution systems, Voltage risk assessment",

author = "Shida Zhang and Shaoyun Ge and Hong Liu and Bo Zhao and Chouwei Ni and Zhengyang Xu and Chenghong Gu",

note = "Funding Information: This work is supported by Key Technology Project of State Grid Corporation of China (Key technology research and application of prefecture-level carbon and electricity coordinated grid regulation and control with a high proportion of distributed clean energy, 5100-202119565A-0-5-SF). ",

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AU - Ge, Shaoyun

AU - Liu, Hong

AU - Zhao, Bo

AU - Ni, Chouwei

AU - Xu, Zhengyang

AU - Gu, Chenghong

N1 - Funding Information: This work is supported by Key Technology Project of State Grid Corporation of China (Key technology research and application of prefecture-level carbon and electricity coordinated grid regulation and control with a high proportion of distributed clean energy, 5100-202119565A-0-5-SF).

PY - 2023/12/31

Y1 - 2023/12/31

N2 - The large-scale integration of renewable energy generators (REGs) is key to reducing carbon emissions. However, the intermittency of REG outputs poses operational risk challenges on distribution systems (DSs). This paper proposes a novel Wasserstein-based distributionally robust assessment for the voltage risk index that represents both likelihood and non-linearly increasing severity of voltage violations. We propose a hierarchical DRO model for risk management that integrates a multi-objective distributionally robust optimization (DRO) at the distribution system operator (DSO) level and a basic DRO at the user level. Then, a systematic solution method is developed, where the proposed model is equivalently reformulated into tractable bilevel mixed-integer convex programs. The effectiveness, advantages, and scalability of the proposed method are validated on the IEEE 33-bus system and unbalanced IEEE-123-bus system.

AB - The large-scale integration of renewable energy generators (REGs) is key to reducing carbon emissions. However, the intermittency of REG outputs poses operational risk challenges on distribution systems (DSs). This paper proposes a novel Wasserstein-based distributionally robust assessment for the voltage risk index that represents both likelihood and non-linearly increasing severity of voltage violations. We propose a hierarchical DRO model for risk management that integrates a multi-objective distributionally robust optimization (DRO) at the distribution system operator (DSO) level and a basic DRO at the user level. Then, a systematic solution method is developed, where the proposed model is equivalently reformulated into tractable bilevel mixed-integer convex programs. The effectiveness, advantages, and scalability of the proposed method are validated on the IEEE 33-bus system and unbalanced IEEE-123-bus system.

KW - Carbon tax

KW - Distributionally robust optimization

KW - Renewable energy generators

KW - Security risk management

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Distributionally robust hierarchical multi-objective voltage risk management for unbalanced distribution systems

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

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