LAPSE

LAPSE:2019.0384
Published Article
LAPSE:2019.0384
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
February 27, 2019
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.
Keywords
analytic hierarchy process (AHP), conservation voltage reduction (CVR), CVR factor, integer programming, power transfer distribution factor (PTDF), voltage sensitivity factor (VSF)
Suggested Citation
An K, Liu HJ, Zhu H, Dong ZY, Hur K. Evaluation of Conservation Voltage Reduction with Analytic Hierarchy Process: A Decision Support Framework in Grid Operations Planning. (2019). LAPSE:2019.0384
Author Affiliations
An K: School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-149, Korea
Liu HJ: Department of Electrical and Computer Engineering, The University of Illinois at Urbana-Champaign, 1308 West Main St, Urbana, IL 61801, USA
Zhu H: Department of Electrical and Computer Engineering, The University of Illinois at Urbana-Champaign, 1308 West Main St, Urbana, IL 61801, USA
Dong ZY: School of Electrical and Information Engineering, University of Sydney, Sydney, NSW 2006, Australia
Hur K: School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-149, Korea [ORCID]
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Journal Name
Energies
Volume
9
Issue
12
Article Number
E1074
Year
2016
Publication Date
2016-12-16
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9121074, Publication Type: Journal Article
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LAPSE:2019.0384
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doi:10.3390/en9121074
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Feb 27, 2019
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CC BY 4.0
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Feb 27, 2019
 
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Feb 27, 2019
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Original Submitter
Calvin Tsay
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