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Development and Field Test of Voltage VAR Optimization in the Korean Smart Distribution Management System

Author

Listed:
  • Sang-Yun Yun

    (Korea Electric Power Research Institute (KEPRI), Korea Electric Power Corporation (KEPCO), 105 Munji-Ro, Yuseong-Gu, Deajeon 305-760, Korea)

  • Pyeong-Ik Hwang

    (Department of Electrical and Computer Engineering, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul 151-744, Korea)

  • Seung-Il Moon

    (Department of Electrical and Computer Engineering, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul 151-744, Korea)

  • Seong-Chul Kwon

    (Korea Electric Power Research Institute (KEPRI), Korea Electric Power Corporation (KEPCO), 105 Munji-Ro, Yuseong-Gu, Deajeon 305-760, Korea)

  • Il-Keun Song

    (Korea Electric Power Research Institute (KEPRI), Korea Electric Power Corporation (KEPCO), 105 Munji-Ro, Yuseong-Gu, Deajeon 305-760, Korea)

  • Joon-Ho Choi

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

Abstract

This paper is a summary of the development and demonstration of an optimization program, voltage VAR optimization (VVO), in the Korean Smart Distribution Management System (KSDMS). KSDMS was developed to address the lack of receptivity of distributed generators (DGs), standardization and compatibility, and manual failure recovery in the existing Korean automated distribution system. Focusing on the lack of receptivity of DGs, we developed a real-time system analysis and control program. The KSDMS VVO enhances manual system operation of the existing distribution system and provides a solution with all control equipment operated at a system level. The developed VVO is an optimal power flow (OPF) method that resolves violations, minimizes switching costs, and minimizes loss, and its function can vary depending on the operator’s command. The sequential mixed integer linear programming (SMILP) method was adopted to find the solution of the OPF. We tested the precision of the proposed VVO on selected simulated systems and its applicability to actual systems at two substations on the Jeju Island. Running the KSDMS VVO on a regular basis improved system stability, and it also raised no issues regarding its applicability to actual systems.

Suggested Citation

  • Sang-Yun Yun & Pyeong-Ik Hwang & Seung-Il Moon & Seong-Chul Kwon & Il-Keun Song & Joon-Ho Choi, 2014. "Development and Field Test of Voltage VAR Optimization in the Korean Smart Distribution Management System," Energies, MDPI, vol. 7(2), pages 1-27, February.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:2:p:643-669:d:32817
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    Citations

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    Cited by:

    1. Dongwon Lee & Changhee Han & Gilsoo Jang, 2021. "Stochastic Analysis-Based Volt–Var Curve of Smart Inverters for Combined Voltage Regulation in Distribution Networks," Energies, MDPI, vol. 14(10), pages 1-15, May.
    2. Luis Hernández-Callejo, 2019. "A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids," Energies, MDPI, vol. 12(9), pages 1-50, April.
    3. Yazhou Jiang & Chen-Ching Liu & Yin Xu, 2016. "Smart Distribution Systems," Energies, MDPI, vol. 9(4), pages 1-20, April.
    4. Hyeong-Jin Lee & Kwang-Hoon Yoon & Joong-Woo Shin & Jae-Chul Kim & Sung-Min Cho, 2020. "Optimal Parameters of Volt–Var Function in Smart Inverters for Improving System Performance," Energies, MDPI, vol. 13(9), pages 1-15, May.

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