Multi-Objective Robust Voltage/VAR Control for Active Distribution Networks

Cuo Zhang; ZhaoYang Dong; Yan Xu

doi:10.1109/PESGM40551.2019.8973680

Multi-Objective Robust Voltage/VAR Control for Active Distribution Networks

Cuo Zhang^*
, ZhaoYang Dong
, Yan Xu

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

Voltage/VAR control (VVC) methods implemented by on-load tap-changers, capacitor banks and photovoltaic (PV) associated inverters can efficiently maintain power quality (re-duce voltage deviation) and reduce energy loss for active distribution networks (ADNs). However, minimization of voltage deviation is in competition with minimization of energy loss. Besides, uncertainties such as PV power generation and load demand impair control results. To address these issues, this paper proposes a multi-objective VVC model based on a multi-stage coordination framework for ADNs, aiming to minimize voltage deviation and energy loss simultaneously. More importantly, this paper proposes a multi-objective robust optimization approach to robustly optimize the multi-objective VVC model against uncertainties. Correspondingly, a solution algorithm based on adaptive weighted-sum and column-and-constraint generation algorithms is developed to solve the multi-objective robust optimization problem. Simulation results show well distributed solutions and high solution robustness of the proposed multi-objective robust VVC against uncertainties. © 2019 IEEE.

Original language	English
Title of host publication	2019 IEEE Power & Energy Society General Meeting (PESGM)
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	9781728119816
ISBN (Print)	978-1-7281-1982-3
DOIs	https://doi.org/10.1109/PESGM40551.2019.8973680
Publication status	Published - Aug 2019
Externally published	Yes
Event	2019 IEEE Power and Energy Society General Meeting (PESGM 2019) - Atlanta, United States Duration: 4 Aug 2019 → 8 Aug 2019

Publication series

Name	IEEE Power and Energy Society General Meeting
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2019 IEEE Power and Energy Society General Meeting (PESGM 2019)
Place	United States
City	Atlanta
Period	4/08/19 → 8/08/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

Active distribution network
multi-objective programming
robust optimization
uncertainties
voltage/VAR control

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10.1109/PESGM40551.2019.8973680

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Cite this

@inproceedings{c830a2c6b3a94f779b7a0989f2fa58e7,

title = "Multi-Objective Robust Voltage/VAR Control for Active Distribution Networks",

abstract = "Voltage/VAR control (VVC) methods implemented by on-load tap-changers, capacitor banks and photovoltaic (PV) associated inverters can efficiently maintain power quality (re-duce voltage deviation) and reduce energy loss for active distribution networks (ADNs). However, minimization of voltage deviation is in competition with minimization of energy loss. Besides, uncertainties such as PV power generation and load demand impair control results. To address these issues, this paper proposes a multi-objective VVC model based on a multi-stage coordination framework for ADNs, aiming to minimize voltage deviation and energy loss simultaneously. More importantly, this paper proposes a multi-objective robust optimization approach to robustly optimize the multi-objective VVC model against uncertainties. Correspondingly, a solution algorithm based on adaptive weighted-sum and column-and-constraint generation algorithms is developed to solve the multi-objective robust optimization problem. Simulation results show well distributed solutions and high solution robustness of the proposed multi-objective robust VVC against uncertainties. {\textcopyright} 2019 IEEE.",

keywords = "Active distribution network, multi-objective programming, robust optimization, uncertainties, voltage/VAR control",

author = "Cuo Zhang and ZhaoYang Dong and Yan Xu",

year = "2019",

month = aug,

doi = "10.1109/PESGM40551.2019.8973680",

language = "English",

isbn = "978-1-7281-1982-3",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE",

booktitle = "2019 IEEE Power \& Energy Society General Meeting (PESGM)",

address = "United States",

note = "2019 IEEE Power and Energy Society General Meeting (PESGM 2019) ; Conference date: 04-08-2019 Through 08-08-2019",

}

Zhang, C, Dong, Z & Xu, Y 2019, Multi-Objective Robust Voltage/VAR Control for Active Distribution Networks. in 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE Power and Energy Society General Meeting, IEEE, 2019 IEEE Power and Energy Society General Meeting (PESGM 2019), Atlanta, Georgia, United States, 4/08/19. https://doi.org/10.1109/PESGM40551.2019.8973680

Multi-Objective Robust Voltage/VAR Control for Active Distribution Networks. / Zhang, Cuo; Dong, ZhaoYang; Xu, Yan.
2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019. (IEEE Power and Energy Society General Meeting).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Multi-Objective Robust Voltage/VAR Control for Active Distribution Networks

AU - Zhang, Cuo

AU - Dong, ZhaoYang

AU - Xu, Yan

PY - 2019/8

Y1 - 2019/8

N2 - Voltage/VAR control (VVC) methods implemented by on-load tap-changers, capacitor banks and photovoltaic (PV) associated inverters can efficiently maintain power quality (re-duce voltage deviation) and reduce energy loss for active distribution networks (ADNs). However, minimization of voltage deviation is in competition with minimization of energy loss. Besides, uncertainties such as PV power generation and load demand impair control results. To address these issues, this paper proposes a multi-objective VVC model based on a multi-stage coordination framework for ADNs, aiming to minimize voltage deviation and energy loss simultaneously. More importantly, this paper proposes a multi-objective robust optimization approach to robustly optimize the multi-objective VVC model against uncertainties. Correspondingly, a solution algorithm based on adaptive weighted-sum and column-and-constraint generation algorithms is developed to solve the multi-objective robust optimization problem. Simulation results show well distributed solutions and high solution robustness of the proposed multi-objective robust VVC against uncertainties. © 2019 IEEE.

AB - Voltage/VAR control (VVC) methods implemented by on-load tap-changers, capacitor banks and photovoltaic (PV) associated inverters can efficiently maintain power quality (re-duce voltage deviation) and reduce energy loss for active distribution networks (ADNs). However, minimization of voltage deviation is in competition with minimization of energy loss. Besides, uncertainties such as PV power generation and load demand impair control results. To address these issues, this paper proposes a multi-objective VVC model based on a multi-stage coordination framework for ADNs, aiming to minimize voltage deviation and energy loss simultaneously. More importantly, this paper proposes a multi-objective robust optimization approach to robustly optimize the multi-objective VVC model against uncertainties. Correspondingly, a solution algorithm based on adaptive weighted-sum and column-and-constraint generation algorithms is developed to solve the multi-objective robust optimization problem. Simulation results show well distributed solutions and high solution robustness of the proposed multi-objective robust VVC against uncertainties. © 2019 IEEE.

KW - Active distribution network

KW - multi-objective programming

KW - robust optimization

KW - uncertainties

KW - voltage/VAR control

UR - https://www.scopus.com/pages/publications/85079051966

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85079051966&origin=recordpage

U2 - 10.1109/PESGM40551.2019.8973680

DO - 10.1109/PESGM40551.2019.8973680

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-7281-1982-3

T3 - IEEE Power and Energy Society General Meeting

BT - 2019 IEEE Power & Energy Society General Meeting (PESGM)

PB - IEEE

T2 - 2019 IEEE Power and Energy Society General Meeting (PESGM 2019)

Y2 - 4 August 2019 through 8 August 2019

ER -

Multi-Objective Robust Voltage/VAR Control for Active Distribution Networks

Abstract

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UN SDGs

Research Keywords

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