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A two-stage reactive power optimization in transmission network incorporating reserves from voltage-dependent loads

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  • Jin, Hongyang
  • Li, Zhengshuo
  • Sun, Hongbin
  • Guo, Qinglai
  • Wang, Bin

Abstract

With the integration of intermittent resources, more reserves are required for uncertainties. Traditionally, reactive power optimization in transmission network focuses on loss minimization problems, regarding loads as voltage-independent injections. In fact, the bus voltage magnitude affects the load active/reactive injection, providing a possibility for system operators to regulate the power of loads through voltage regulation. Inspired by this inherent feature of loads, this paper considers the regulation of voltage-dependent loads (VDLs) for fast reserves through reactive power optimization and voltage control under the coordination of transmission and distribution networks. A two-stage multi-objective optimal power flow model is developed to incorporate reserves from VDLs. The first stage is to optimize the minimization of losses and the maximization of the reserves that the VDLs can provide, which is modeled as an AC optimal power flow problem. In the second stage, it is verified whether the reserves from the first stage can be delivered by voltage regulation to settle down the possible imbalance power in the power system. Case studies show that the proposed method can estimate the amount of reserves from VDLs and optimize the bus voltages accordingly.

Suggested Citation

  • Jin, Hongyang & Li, Zhengshuo & Sun, Hongbin & Guo, Qinglai & Wang, Bin, 2018. "A two-stage reactive power optimization in transmission network incorporating reserves from voltage-dependent loads," Energy, Elsevier, vol. 157(C), pages 752-763.
    • Handle: RePEc:eee:energy:v:157:y:2018:i:c:p:752-763
    DOI: 10.1016/j.energy.2018.05.112
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    References listed on IDEAS

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    1. Reddy, S. Surender & Abhyankar, A.R. & Bijwe, P.R., 2011. "Reactive power price clearing using multi-objective optimization," Energy, Elsevier, vol. 36(5), pages 3579-3589.
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    3. Zare, Mohsen & Niknam, Taher & Azizipanah-Abarghooee, Rasoul & Amiri, Babak, 2014. "Multi-objective probabilistic reactive power and voltage control with wind site correlations," Energy, Elsevier, vol. 66(C), pages 810-822.
    4. Khazali, A.H. & Kalantar, M. & Khazali, Ali, 2011. "Fuzzy multi-objective reactive power clearing considering reactive compensation sources," Energy, Elsevier, vol. 36(5), pages 3319-3327.
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    Cited by:

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    2. Sarjiya, & Budi, Rizki Firmansyah Setya & Hadi, Sasongko Pramono, 2019. "Game theory for multi-objective and multi-period framework generation expansion planning in deregulated markets," Energy, Elsevier, vol. 174(C), pages 323-330.

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