Model-based Volt-Var Optimization using Advanced Metering Infrastructure in distribution networks

Chunxue Zhang; Bo Dai; Ting Wu; Weijie Mai; Mingwen Qin; Jiayong Li; Yongquan Nie; Junwei Liu; C. Y. Chung

doi:10.1109/PTC.2015.7232281

Model-based Volt-Var Optimization using Advanced Metering Infrastructure in distribution networks

Chunxue Zhang
, Bo Dai
, Ting Wu
, Weijie Mai
, Mingwen Qin
, Jiayong Li
, Yongquan Nie
, Junwei Liu
, C. Y. Chung

Hong Kong Polytechnic University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Volt/Var Optimization (VVO) technology helps to ensure that power is delivered to customers at optimal power factor to minimize line loss and maintain acceptable voltage at all points along the distribution feeder. Meanwhile, applying Conservation Voltage Reduction (CVR) will lower the customer's peak demand to conserve more energy. Advanced Metering Infrastructure (AMI) realizes the voltage monitoring and management at customers' side. This paper presents an VVO approach associated with CVR using prime-dual interior point method (PDIPM) applied on a system model based with AMI data, to make customers' voltages achieve the lower portion of the accepted range and meanwhile minimize the sum of power loss and power demand. Compared to the widely used algorithm, i.e. Genetic Algorithm (GA), PDIPM has an obvious advantage at better operation regularity of capacitors and more energy saving. IEEE 33 bus test system, as well as a practical distribution network is adopted for the validation and comparison. The results show that PDIPM is stable and effective for VVO application in power industry.

Original language	English
Title of host publication	2015 IEEE Eindhoven PowerTech, PowerTech 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479976935
DOIs	https://doi.org/10.1109/PTC.2015.7232281
State	Published - 31 Aug 2015
Externally published	Yes
Event	IEEE Eindhoven PowerTech, PowerTech 2015 - Eindhoven, Netherlands Duration: 29 Jun 2015 → 2 Jul 2015

Publication series

Name	2015 IEEE Eindhoven PowerTech, PowerTech 2015

Conference

Conference	IEEE Eindhoven PowerTech, PowerTech 2015
Country/Territory	Netherlands
City	Eindhoven
Period	29/06/15 → 2/07/15

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Advanced Metering Infrastructure (AMI)
conservation voltage reduction (CVR)
primal-dual interior-point method (PDIPM)
voltage/var optimization

Access to Document

10.1109/PTC.2015.7232281

Cite this

Zhang, C., Dai, B., Wu, T., Mai, W., Qin, M., Li, J., Nie, Y., Liu, J., & Chung, C. Y. (2015). Model-based Volt-Var Optimization using Advanced Metering Infrastructure in distribution networks. In 2015 IEEE Eindhoven PowerTech, PowerTech 2015 Article 7232281 (2015 IEEE Eindhoven PowerTech, PowerTech 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PTC.2015.7232281

@inproceedings{cfb405867314453e9938d565229c2b49,

title = "Model-based Volt-Var Optimization using Advanced Metering Infrastructure in distribution networks",

abstract = "Volt/Var Optimization (VVO) technology helps to ensure that power is delivered to customers at optimal power factor to minimize line loss and maintain acceptable voltage at all points along the distribution feeder. Meanwhile, applying Conservation Voltage Reduction (CVR) will lower the customer's peak demand to conserve more energy. Advanced Metering Infrastructure (AMI) realizes the voltage monitoring and management at customers' side. This paper presents an VVO approach associated with CVR using prime-dual interior point method (PDIPM) applied on a system model based with AMI data, to make customers' voltages achieve the lower portion of the accepted range and meanwhile minimize the sum of power loss and power demand. Compared to the widely used algorithm, i.e. Genetic Algorithm (GA), PDIPM has an obvious advantage at better operation regularity of capacitors and more energy saving. IEEE 33 bus test system, as well as a practical distribution network is adopted for the validation and comparison. The results show that PDIPM is stable and effective for VVO application in power industry.",

keywords = "Advanced Metering Infrastructure (AMI), conservation voltage reduction (CVR), primal-dual interior-point method (PDIPM), voltage/var optimization",

author = "Chunxue Zhang and Bo Dai and Ting Wu and Weijie Mai and Mingwen Qin and Jiayong Li and Yongquan Nie and Junwei Liu and Chung, \{C. Y.\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Eindhoven PowerTech, PowerTech 2015 ; Conference date: 29-06-2015 Through 02-07-2015",

year = "2015",

month = aug,

day = "31",

doi = "10.1109/PTC.2015.7232281",

language = "英语",

series = "2015 IEEE Eindhoven PowerTech, PowerTech 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 IEEE Eindhoven PowerTech, PowerTech 2015",

address = "美国",

}

Zhang, C, Dai, B, Wu, T, Mai, W, Qin, M, Li, J, Nie, Y, Liu, J & Chung, CY 2015, Model-based Volt-Var Optimization using Advanced Metering Infrastructure in distribution networks. in 2015 IEEE Eindhoven PowerTech, PowerTech 2015., 7232281, 2015 IEEE Eindhoven PowerTech, PowerTech 2015, Institute of Electrical and Electronics Engineers Inc., IEEE Eindhoven PowerTech, PowerTech 2015, Eindhoven, Netherlands, 29/06/15. https://doi.org/10.1109/PTC.2015.7232281

Model-based Volt-Var Optimization using Advanced Metering Infrastructure in distribution networks. / Zhang, Chunxue; Dai, Bo; Wu, Ting et al.
2015 IEEE Eindhoven PowerTech, PowerTech 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7232281 (2015 IEEE Eindhoven PowerTech, PowerTech 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Model-based Volt-Var Optimization using Advanced Metering Infrastructure in distribution networks

AU - Zhang, Chunxue

AU - Dai, Bo

AU - Wu, Ting

AU - Mai, Weijie

AU - Qin, Mingwen

AU - Li, Jiayong

AU - Nie, Yongquan

AU - Liu, Junwei

AU - Chung, C. Y.

PY - 2015/8/31

Y1 - 2015/8/31

N2 - Volt/Var Optimization (VVO) technology helps to ensure that power is delivered to customers at optimal power factor to minimize line loss and maintain acceptable voltage at all points along the distribution feeder. Meanwhile, applying Conservation Voltage Reduction (CVR) will lower the customer's peak demand to conserve more energy. Advanced Metering Infrastructure (AMI) realizes the voltage monitoring and management at customers' side. This paper presents an VVO approach associated with CVR using prime-dual interior point method (PDIPM) applied on a system model based with AMI data, to make customers' voltages achieve the lower portion of the accepted range and meanwhile minimize the sum of power loss and power demand. Compared to the widely used algorithm, i.e. Genetic Algorithm (GA), PDIPM has an obvious advantage at better operation regularity of capacitors and more energy saving. IEEE 33 bus test system, as well as a practical distribution network is adopted for the validation and comparison. The results show that PDIPM is stable and effective for VVO application in power industry.

AB - Volt/Var Optimization (VVO) technology helps to ensure that power is delivered to customers at optimal power factor to minimize line loss and maintain acceptable voltage at all points along the distribution feeder. Meanwhile, applying Conservation Voltage Reduction (CVR) will lower the customer's peak demand to conserve more energy. Advanced Metering Infrastructure (AMI) realizes the voltage monitoring and management at customers' side. This paper presents an VVO approach associated with CVR using prime-dual interior point method (PDIPM) applied on a system model based with AMI data, to make customers' voltages achieve the lower portion of the accepted range and meanwhile minimize the sum of power loss and power demand. Compared to the widely used algorithm, i.e. Genetic Algorithm (GA), PDIPM has an obvious advantage at better operation regularity of capacitors and more energy saving. IEEE 33 bus test system, as well as a practical distribution network is adopted for the validation and comparison. The results show that PDIPM is stable and effective for VVO application in power industry.

KW - Advanced Metering Infrastructure (AMI)

KW - conservation voltage reduction (CVR)

KW - primal-dual interior-point method (PDIPM)

KW - voltage/var optimization

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M3 - 会议稿件

AN - SCOPUS:84951310434

T3 - 2015 IEEE Eindhoven PowerTech, PowerTech 2015

BT - 2015 IEEE Eindhoven PowerTech, PowerTech 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE Eindhoven PowerTech, PowerTech 2015

Y2 - 29 June 2015 through 2 July 2015

ER -

Model-based Volt-Var Optimization using Advanced Metering Infrastructure in distribution networks

Abstract

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UN SDGs

Keywords

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