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Zonal Voltage Control Combined Day-Ahead Scheduling and Real-Time Control for Distribution Networks with High Proportion of PVs

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  • Chuanliang Xiao

    (School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China)

  • Bo Zhao

    (State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China)

  • Ming Ding

    (School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China)

  • Zhihao Li

    (State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China)

  • Xiaohui Ge

    (State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China)

Abstract

Considering the possible overvoltage caused by the high proportion of photovoltaic systems (PVs) accessing distribution networks in the future, traditional centralized control methods will be too complex to satisfy the control response time demands. To solve this problem this paper presents a two-level voltage control method. At the day-ahead level, based on the PV-output and load-demand forecast, a community detection algorithm using an improved modularity index is introduced to divide the distribution network into clusters; a day-ahead optimal scheduling is drawn up on the basis of the network partition, and the objective is to minimize the operation costs of the distribution networks. At the real-time level, under the day-ahead optimal scheduling and network partition of the upper level, a real-time optimal voltage control algorithm is proposed based on the real-time operation data of the distribution networks, and the objective is to correct the day-ahead optimal scheduling through modifications. Thus, the algorithm realizes the combination of day-ahead scheduling and real-time control and achieves complete zonal voltage control for future distribution networks with high proportion of PVs. The proposed method can not only optimize the tap operation of an on-load tap changer (OLTC), improving the PV hosting capacity of the distribution network for a high proportion of PVs, but can also reduce the number of control nodes and simplify the control process to reduce the optimization time. The proposed approach is applied to a real, practical, 10 kV, 62-node feeder in Zhejiang Province of China to verify its feasibility and effectiveness.

Suggested Citation

  • Chuanliang Xiao & Bo Zhao & Ming Ding & Zhihao Li & Xiaohui Ge, 2017. "Zonal Voltage Control Combined Day-Ahead Scheduling and Real-Time Control for Distribution Networks with High Proportion of PVs," Energies, MDPI, vol. 10(10), pages 1-23, September.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1464-:d:112918
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    References listed on IDEAS

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    1. Hosenuzzaman, M. & Rahim, N.A. & Selvaraj, J. & Hasanuzzaman, M. & Malek, A.B.M.A. & Nahar, A., 2015. "Global prospects, progress, policies, and environmental impact of solar photovoltaic power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 284-297.
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    Cited by:

    1. Yinuo Huang & Licheng Wang & Kai Wang, 2019. "Investigation of Var Compensation Schemes in Unbalanced Distribution Systems," Complexity, Hindawi, vol. 2019, pages 1-13, October.
    2. Chuanliang Xiao & Lei Sun & Ming Ding, 2020. "Multiple Spatiotemporal Characteristics-Based Zonal Voltage Control for High Penetrated PVs in Active Distribution Networks," Energies, MDPI, vol. 13(1), pages 1-21, January.
    3. Jean-François Toubeau & Bashir Bakhshideh Zad & Martin Hupez & Zacharie De Grève & François Vallée, 2020. "Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks," Energies, MDPI, vol. 13(15), pages 1-15, August.
    4. Wenwen Sun & Guoqing He, 2023. "Cluster Partition-Based Voltage Control Combined Day-Ahead Scheduling and Real-Time Control for Distribution Networks," Energies, MDPI, vol. 16(11), pages 1-13, May.

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