A Methodology to Analyze Conservation Voltage Reduction Performance Using Field Test Data
With an ever increasing demand and depleting energy resources, there has been a growing interest in conserving energy, such as the conservation voltage reduction (CVR) program to reduce energy consumption by decreasing feeder voltage. Several utilities are conducting pilot projects on their feeder systems to determine the feasibility and actual CVR payoff. One major challenge in analyzing the CVR field test data lies in the uncertainty of the power system load and a variety of dependent factors encompassing temperature and time. This paper proposes a methodology to facilitate the CVR performance analysis at the utilities by accounting all potentially influential factors. A linear relation to model the system power demand is presented, which allows a sparse linear regression method to obtain its sensitivity parameter to voltage magnitude and accordingly to quantify the CVR payoff. All input factors can also be ranked according to their statistical influence on representing the power demand output. The proposed method is first tested and validated using synthetic CVR data simulated for a 13.8 kV distribution feeder using OpenDss. It is further tested using the field CVR test data provided by a major U.S. Midwest electric utility. Both tests demonstrated the effectiveness of the proposed method as well as the usefulness and validity of the input factor ranking.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
- The following copyright notice applies to all of the above items that appear in IEEE publications: "Personal use of this material is permitted. However, permission to reprint/publish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from IEEE."
- The following copyright notice applies to all of the above items that appear in ACM publications: "© ACM, effective the year of publication shown in the bibliographic information. This file is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the journal or proceedings indicated in the bibliographic data for each item."
- The following copyright notice applies to all of the above items that appear in IFAC publications: "Document is being reproduced under permission of the Copyright Holder. Use or reproduction of the Document is for informational or personal use only."