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Energy Saving of Conservation Voltage Reduction Based on Load-Voltage Dependency

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  • Ahmet Onen

    (Department of Electrical and Electronic Engineering, Abdullah Gul University, Kayseri 38080, Turkey)

Abstract

Reducing voltage to reduce energy consumption, referred to as conservation voltage reduction (CVR), can lead to energy savings. Calculating the effects of reducing voltage requires accurate load models. This paper investigates a load-voltage dependency factor that can be measured via field experiments using common existing instrumentation. A relationship between the load-voltage dependency factor and the percentage of the load that is constant impedance and the percentage that is constant power is presented. A new coordinated control algorithm using the load-voltage dependency factor measured by the field experiments is proposed. Parametric studies are presented which compare CVR with coordinated control versus traditional control. Across the two model comparisons of minimizing energy consumption, the coordinated control for conservation voltage reduction showed significant energy reduction over local control.

Suggested Citation

  • Ahmet Onen, 2016. "Energy Saving of Conservation Voltage Reduction Based on Load-Voltage Dependency," Sustainability, MDPI, vol. 8(8), pages 1-11, August.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:8:p:803-:d:75993
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    References listed on IDEAS

    as
    1. Niknam, Taher, 2011. "A new HBMO algorithm for multiobjective daily Volt/Var control in distribution systems considering Distributed Generators," Applied Energy, Elsevier, vol. 88(3), pages 778-788, March.
    2. Jung, Jaesung & Onen, Ahmet & Arghandeh, Reza & Broadwater, Robert P., 2014. "Coordinated control of automated devices and photovoltaic generators for voltage rise mitigation in power distribution circuits," Renewable Energy, Elsevier, vol. 66(C), pages 532-540.
    3. Jung, Jaesung & Cho, Yongju & Cheng, Danling & Onen, Ahmet & Arghandeh, Reza & Dilek, Murat & Broadwater, Robert P., 2013. "Monte Carlo analysis of Plug-in Hybrid Vehicles and Distributed Energy Resource growth with residential energy storage in Michigan," Applied Energy, Elsevier, vol. 108(C), pages 218-235.
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