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Energies
Volume 9
Issue 12
10.3390/en9121074
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Article

Evaluation of Conservation Voltage Reduction with Analytic Hierarchy Process: A Decision Support Framework in Grid Operations Planning

by
Kyungsung An
1,
Hao Jan Liu
2,
Hao Zhu
2,
Zhao Yang Dong
3 and
Kyeon Hur
1,*
1
School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-149, Korea
2
Department of Electrical and Computer Engineering, The University of Illinois at Urbana-Champaign, 1308 West Main St, Urbana, IL 61801, USA
3
School of Electrical and Information Engineering, University of Sydney, Sydney, NSW 2006, Australia
*
Author to whom correspondence should be addressed.
Academic Editors: Pierluigi Siano and Miadreza Shafie-khah
Energies 2016, 9(12), 1074; https://doi.org/10.3390/en9121074
Received: 1 November 2016 / Revised: 3 December 2016 / Accepted: 12 December 2016 / Published: 16 December 2016
(This article belongs to the Special Issue Innovative Methods for Smart Grids Planning and Management)
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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. View Full-Text
Keywords: analytic hierarchy process (AHP); conservation voltage reduction (CVR); CVR factor; integer programming; power transfer distribution factor (PTDF); voltage sensitivity factor (VSF) analytic hierarchy process (AHP); conservation voltage reduction (CVR); CVR factor; integer programming; power transfer distribution factor (PTDF); voltage sensitivity factor (VSF)
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MDPI and ACS Style

An, K.; Liu, H.J.; Zhu, H.; Dong, Z.Y.; Hur, K. Evaluation of Conservation Voltage Reduction with Analytic Hierarchy Process: A Decision Support Framework in Grid Operations Planning. Energies 2016, 9, 1074. https://doi.org/10.3390/en9121074

AMA Style

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. Energies. 2016; 9(12):1074. https://doi.org/10.3390/en9121074

Chicago/Turabian Style

An, Kyungsung, Hao Jan Liu, Hao Zhu, Zhao Yang Dong, and Kyeon Hur. 2016. "Evaluation of Conservation Voltage Reduction with Analytic Hierarchy Process: A Decision Support Framework in Grid Operations Planning" Energies 9, no. 12: 1074. https://doi.org/10.3390/en9121074

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