Evaluation of conservation voltage reduction with analytic hierarchy process: A decision support framework in grid operations planning

Kyungsung An, Hao Jan Liu, Hao Zhu, Zhao Yang Dong, Kyeon Hur

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper presents a systematic framework to evaluate the performance of conservation voltage reduction (CVR) by determining suitable substations for CVR in operations planning. Existing CVR planning practice generally only focuses on the energy saving aspect without taking other underlying attributes into account, i.e., network topology and reduced voltage effects on other substations. To secure the desired operating reserve and avoid any adverse impacts, these attributes should be considered for implementing CVR more effectively. This research develops a practical decision-making framework based on the analytic hierarchy process (AHP) to quantify several of the aforementioned attributes. Candidate substations for CVR deployment are prioritized such that performances are compared in terms of power transfer distribution factor (PTDF), voltage sensitivity factor (VSF), and CVR factor. In addition, to meet a specified reserve requirement, an integer programming approach is adopted to select potential substations for CVR implementations. Case studies for a Korean electric power system under diverse operating conditions are performed to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Article number1074
JournalEnergies
Volume9
Issue number12
DOIs
Publication statusPublished - 2016 Dec

Fingerprint

Analytic hierarchy process
Analytic Hierarchy Process
Decision Support
Conservation
Voltage
Planning
Grid
Evaluation
Electric potential
Attribute
Framework
Electric Power System
Integer programming
Energy Saving
Electric power systems
Integer Programming
Network Topology
Energy conservation
Quantify
Decision making

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

@article{0645ed3b3e3440768f0ece5a572859ea,
title = "Evaluation of conservation voltage reduction with analytic hierarchy process: A decision support framework in grid operations planning",
abstract = "This paper presents a systematic framework to evaluate the performance of conservation voltage reduction (CVR) by determining suitable substations for CVR in operations planning. Existing CVR planning practice generally only focuses on the energy saving aspect without taking other underlying attributes into account, i.e., network topology and reduced voltage effects on other substations. To secure the desired operating reserve and avoid any adverse impacts, these attributes should be considered for implementing CVR more effectively. This research develops a practical decision-making framework based on the analytic hierarchy process (AHP) to quantify several of the aforementioned attributes. Candidate substations for CVR deployment are prioritized such that performances are compared in terms of power transfer distribution factor (PTDF), voltage sensitivity factor (VSF), and CVR factor. In addition, to meet a specified reserve requirement, an integer programming approach is adopted to select potential substations for CVR implementations. Case studies for a Korean electric power system under diverse operating conditions are performed to demonstrate the effectiveness of the proposed method.",
author = "Kyungsung An and Liu, {Hao Jan} and Hao Zhu and Dong, {Zhao Yang} and Kyeon Hur",
year = "2016",
month = "12",
doi = "10.3390/en9121074",
language = "English",
volume = "9",
journal = "Energies",
issn = "1996-1073",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "12",

}

Evaluation of conservation voltage reduction with analytic hierarchy process : A decision support framework in grid operations planning. / An, Kyungsung; Liu, Hao Jan; Zhu, Hao; Dong, Zhao Yang; Hur, Kyeon.

In: Energies, Vol. 9, No. 12, 1074, 12.2016.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Evaluation of conservation voltage reduction with analytic hierarchy process

T2 - A decision support framework in grid operations planning

AU - An, Kyungsung

AU - Liu, Hao Jan

AU - Zhu, Hao

AU - Dong, Zhao Yang

AU - Hur, Kyeon

PY - 2016/12

Y1 - 2016/12

N2 - This paper presents a systematic framework to evaluate the performance of conservation voltage reduction (CVR) by determining suitable substations for CVR in operations planning. Existing CVR planning practice generally only focuses on the energy saving aspect without taking other underlying attributes into account, i.e., network topology and reduced voltage effects on other substations. To secure the desired operating reserve and avoid any adverse impacts, these attributes should be considered for implementing CVR more effectively. This research develops a practical decision-making framework based on the analytic hierarchy process (AHP) to quantify several of the aforementioned attributes. Candidate substations for CVR deployment are prioritized such that performances are compared in terms of power transfer distribution factor (PTDF), voltage sensitivity factor (VSF), and CVR factor. In addition, to meet a specified reserve requirement, an integer programming approach is adopted to select potential substations for CVR implementations. Case studies for a Korean electric power system under diverse operating conditions are performed to demonstrate the effectiveness of the proposed method.

AB - This paper presents a systematic framework to evaluate the performance of conservation voltage reduction (CVR) by determining suitable substations for CVR in operations planning. Existing CVR planning practice generally only focuses on the energy saving aspect without taking other underlying attributes into account, i.e., network topology and reduced voltage effects on other substations. To secure the desired operating reserve and avoid any adverse impacts, these attributes should be considered for implementing CVR more effectively. This research develops a practical decision-making framework based on the analytic hierarchy process (AHP) to quantify several of the aforementioned attributes. Candidate substations for CVR deployment are prioritized such that performances are compared in terms of power transfer distribution factor (PTDF), voltage sensitivity factor (VSF), and CVR factor. In addition, to meet a specified reserve requirement, an integer programming approach is adopted to select potential substations for CVR implementations. Case studies for a Korean electric power system under diverse operating conditions are performed to demonstrate the effectiveness of the proposed method.

UR - http://www.scopus.com/inward/record.url?scp=85021248371&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85021248371&partnerID=8YFLogxK

U2 - 10.3390/en9121074

DO - 10.3390/en9121074

M3 - Article

AN - SCOPUS:85021248371

VL - 9

JO - Energies

JF - Energies

SN - 1996-1073

IS - 12

M1 - 1074

ER -