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Three-Stage Analysis of the Maximum Accommodation Capacity of a Distribution System with High Photovoltaic Penetration

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  • Jiaqi Gu

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Fei Mei

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Jixiang Lu

    (State Key Laboratory of Smart Grid Protection and Control, NARI Group Corporation, Nanjing 211000, China)

  • Jinjun Lu

    (State Key Laboratory of Smart Grid Protection and Control, NARI Group Corporation, Nanjing 211000, China)

  • Jingcheng Chen

    (State Grid Tianjin Electric Power Company, Tianjin 300010, China)

  • Xinmin Zhang

    (State Grid Tianjin Electric Power Company, Tianjin 300010, China)

  • Limin Li

    (Tianjin Huadian Beichen Distributed Energy Co., Ltd., Tianjin 300400, China)

Abstract

The safety and stability of a distribution network will be affected by high photovoltaic (PV) penetration. Therefore, it is of great significance to evaluate the PV accommodation capacity of a distribution network and to select an appropriate PV accommodation scheme. This paper assesses the PV accommodation capacity of a distribution network with an improved algorithm and optimizes the accommodation scheme with a comprehensive index. First, the PSO (particle swarm optimization)–Monte Carlo algorithm is used to evaluate the maximum accommodation capacity of a distribution network with PV integration. Second, a year-round voltage timing simulation is performed to analyze the node voltage that exceeds the limit under the planned PV capacity, which is higher than the previously evaluated maximum accommodation capacity. Finally, the staged control strategy of the PV inverter and energy storage is carried out to select the scheme for the sizing and siting of energy storage. The simulation tests use a 10 kV standard distribution network as an example for PV evaluation and PV accommodation scheme selection to verify the feasibility and effectiveness of the proposed model.

Suggested Citation

  • Jiaqi Gu & Fei Mei & Jixiang Lu & Jinjun Lu & Jingcheng Chen & Xinmin Zhang & Limin Li, 2020. "Three-Stage Analysis of the Maximum Accommodation Capacity of a Distribution System with High Photovoltaic Penetration," Energies, MDPI, vol. 13(17), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4325-:d:401805
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    References listed on IDEAS

    as
    1. Haque, M. Mejbaul & Wolfs, Peter, 2016. "A review of high PV penetrations in LV distribution networks: Present status, impacts and mitigation measures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1195-1208.
    2. Haghighat Mamaghani, Alireza & Avella Escandon, Sebastian Alberto & Najafi, Behzad & Shirazi, Ali & Rinaldi, Fabio, 2016. "Techno-economic feasibility of photovoltaic, wind, diesel and hybrid electrification systems for off-grid rural electrification in Colombia," Renewable Energy, Elsevier, vol. 97(C), pages 293-305.
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