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Evaluation of the Effects of Nationwide Conservation Voltage Reduction on Peak-Load Shaving Using SOMAS Data

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  • Soon-Ryul Nam

    (Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea)

  • Sang-Hee Kang

    (Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea)

  • Joo-Ho Lee

    (Department of System Operation & Control, Korea Power Exchange, Seoul 135-791, Korea)

  • Seon-Ju Ahn

    (Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea)

  • Joon-Ho Choi

    (Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea)

Abstract

In this paper we propose a new method to evaluate the effects of nationwide conservation voltage reduction (CVR) on peak-load shaving, using substation operating results management system (SOMAS) data. Its evaluation is based on a national CVR factor, which is defined as the weighted average of CVR factors associated with all transformer banks and weighting coefficients are determined by the reconstructed loads corresponding to each transformer bank. To make use of the data resulting from nationwide CVR without installing additional measuring devices, we adopt a linearized static-load model with a linearizing parameter. SOMAS data are used to evaluate the effects of nationwide CVR on peak-load shaving in the Korean power system. Evaluation results show that the national CVR factor of the Korean power system has small values in the summer season and large values in the winter season. This means that the effect of nationwide CVR on peak-load shaving in the Korean power system presents stronger benefits during winter months.

Suggested Citation

  • Soon-Ryul Nam & Sang-Hee Kang & Joo-Ho Lee & Seon-Ju Ahn & Joon-Ho Choi, 2013. "Evaluation of the Effects of Nationwide Conservation Voltage Reduction on Peak-Load Shaving Using SOMAS Data," Energies, MDPI, vol. 6(12), pages 1-13, December.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:12:p:6322-6334:d:30992
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    References listed on IDEAS

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    1. Wei Hu & Le Zheng & Qiuyu Lu & Yong Min, 2013. "Research on a Hierarchical Dynamic Automatic Voltage Control System Based on the Discrete Event-Driven Method," Energies, MDPI, vol. 6(6), pages 1-17, June.
    2. Soon-Ryul Nam & Sang-Hee Kang & Joo-Ho Lee & Eun-Jae Choi & Seon-Ju Ahn & Joon-Ho Choi, 2013. "EMS-Data-Based Load Modeling to Evaluate the Effect of Conservation Voltage Reduction at a National Level," Energies, MDPI, vol. 6(8), pages 1-14, July.
    3. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
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    Cited by:

    1. GM Shafiullah & Bond Watson & Christopher Lund & Md Moktadir Rahman & Gloria Rupf & Jonathan Whale, 2017. "Voltage Optimisation Technology for an Australian Abattoir—A Techno-Economic Evaluation," Energies, MDPI, vol. 10(11), pages 1-26, November.
    2. Anthony Igiligi & Armin Vielhauer & Mathias Ehrenwirth & Christian Hurm & Thorsten Summ & Christoph Trinkl & Daniel Navarro Gevers, 2023. "Assessment of Conservation Voltage Reduction in Distribution Networks with Voltage Regulating Distribution Transformers," Energies, MDPI, vol. 16(7), pages 1-14, March.
    3. Pyeong-Ik Hwang & Seung-Il Moon & Seon-Ju Ahn, 2016. "A Conservation Voltage Reduction Scheme for a Distribution Systems with Intermittent Distributed Generators," Energies, MDPI, vol. 9(9), pages 1-18, August.
    4. Kwan-Shik Shim & Seok-Il Go & Sang-Yun Yun & Joon-Ho Choi & Won Nam-Koong & Chang-Hoon Shin & Seon-Ju Ahn, 2017. "Estimation of Conservation Voltage Reduction Factors Using Measurement Data of KEPCO System," Energies, MDPI, vol. 10(12), pages 1-16, December.
    5. Matthew Rowe & Timur Yunusov & Stephen Haben & William Holderbaum & Ben Potter, 2014. "The Real-Time Optimisation of DNO Owned Storage Devices on the LV Network for Peak Reduction," Energies, MDPI, vol. 7(6), pages 1-24, May.
    6. Kyungsung An & Hao Jan Liu & Hao Zhu & Zhao Yang Dong & Kyeon Hur, 2016. "Evaluation of Conservation Voltage Reduction with Analytic Hierarchy Process: A Decision Support Framework in Grid Operations Planning," Energies, MDPI, vol. 9(12), pages 1-15, December.

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