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An Approach to Improve the Penetration of Sustainable Energy Using Optimal Transformer Tap Control

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  • Moonsung Bae

    (School of Electrical Engineering, Korea University, Anam Campus, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

  • Hwanik Lee

    (School of Electrical Engineering, Korea University, Anam Campus, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

  • Byongjun Lee

    (School of Electrical Engineering, Korea University, Anam Campus, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

Abstract

A method to secure the generator reactive power reserve by adjusting the transformer tap to improve the power system penetration of renewable energy has been proposed in this study. The tap is adjusted based on the voltage and reactive power sensitivity in the power system network. That is, the transformer tap sensitivity is calculated and analyzed to adjust the tap variation to gain sufficient or the least necessary amount of reactive power reserve. This method can be effective for generators without any margins in the reserves. The optimization problem based on the calculated sensitivities and effectiveness are presented. The optimum solution derived from such a problem provides the minimum control amount necessary to maintain the system voltage and dynamic reactive power reserve at their pre-specified levels to improve the power system acceptability of renewable energy. To demonstrate the effectiveness of the method proposed, a simulation has been performed for an IEEE-25 bus system. The results from simulations prove that the voltage has been well maintained while securing a dynamic reactive power reserve through optimal control based on the sensitivity analysis.

Suggested Citation

  • Moonsung Bae & Hwanik Lee & Byongjun Lee, 2017. "An Approach to Improve the Penetration of Sustainable Energy Using Optimal Transformer Tap Control," Sustainability, MDPI, vol. 9(9), pages 1-15, August.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:9:p:1536-:d:110233
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    References listed on IDEAS

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    1. Minhan Yoon & Yong-Tae Yoon & Gilsoo Jang, 2015. "A Study on Maximum Wind Power Penetration Limit in Island Power System Considering High-Voltage Direct Current Interconnections," Energies, MDPI, vol. 8(12), pages 1-16, December.
    2. Ryuto Shigenobu & Ahmad Samim Noorzad & Cirio Muarapaz & Atsushi Yona & Tomonobu Senjyu, 2016. "Optimal Operation and Management of Smart Grid System with LPC and BESS in Fault Conditions," Sustainability, MDPI, vol. 8(12), pages 1-19, December.
    3. Jun Yao & Qing Li & Zhe Chen & Aolin Liu, 2013. "Coordinated Control of a DFIG-Based Wind-Power Generation System with SGSC under Distorted Grid Voltage Conditions," Energies, MDPI, vol. 6(5), pages 1-21, May.
    4. Koo, Bonsang, 2017. "Examining the impacts of Feed-in-Tariff and the Clean Development Mechanism on Korea's renewable energy projects through comparative investment analysis," Energy Policy, Elsevier, vol. 104(C), pages 144-154.
    5. Wenxia Liu & Huiting Xu & Shuya Niu & Jiang Xie, 2016. "Optimal Distributed Generator Allocation Method Considering Voltage Control Cost," Sustainability, MDPI, vol. 8(2), pages 1-20, February.
    6. Mubbashir Ali & Jussi Ekström & Matti Lehtonen, 2017. "Assessing the Potential Benefits and Limits of Electric Storage Heaters for Wind Curtailment Mitigation: A Finnish Case Study," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
    7. Thongchart Kerdphol & Fathin S. Rahman & Yasunori Mitani & Komsan Hongesombut & Sinan Küfeoğlu, 2017. "Virtual Inertia Control-Based Model Predictive Control for Microgrid Frequency Stabilization Considering High Renewable Energy Integration," Sustainability, MDPI, vol. 9(5), pages 1-21, May.
    8. Eunil Park & Ki Joon Kim & Sang Jib Kwon & Taeil Han & Wongi S. Na & Angel P. Del Pobil, 2017. "Economic Feasibility of Renewable Electricity Generation Systems for Local Government Office: Evaluation of the Jeju Special Self-Governing Province in South Korea," Sustainability, MDPI, vol. 9(1), pages 1-13, January.
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    Cited by:

    1. Hwanik Lee & Moonsung Bae & Byongjun Lee, 2017. "Advanced Reactive Power Reserve Management Scheme to Enhance LVRT Capability," Energies, MDPI, vol. 10(10), pages 1-15, October.
    2. Sumei Liu & Tianshu Bi & Yanlin Liu, 2017. "Theoretical Analysis on the Short-Circuit Current of Inverter-Interfaced Renewable Energy Generators with Fault-Ride-Through Capability," Sustainability, MDPI, vol. 10(1), pages 1-15, December.
    3. Seungchan Oh & Heewon Shin & Hwanhee Cho & Byongjun Lee, 2018. "Transient Impact Analysis of High Renewable Energy Sources Penetration According to the Future Korean Power Grid Scenario," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    4. Jinwoo Jeong & Heewon Shin & Hwachang Song & Byongjun Lee, 2018. "A Countermeasure for Preventing Flexibility Deficit under High-Level Penetration of Renewable Energies: A Robust Optimization Approach," Sustainability, MDPI, vol. 10(11), pages 1-16, November.

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