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Integration Capability Evaluation of Wind and Photovoltaic Generation in Power Systems Based on Temporal and Spatial Correlations

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  • Hua Zhou

    (State Grid Zhejiang Electric Power Corporation, Hangzhou 310007, China)

  • Huahua Wu

    (State Grid Zhejiang Electric Power Corporation, Hangzhou 310007, China)

  • Chengjin Ye

    (College of Electric Engineering, Zhejiang University, Hangzhou 310027, China)

  • Shijie Xiao

    (State Grid Zhejiang Electric Power Corporation, Hangzhou 310007, China)

  • Jun Zhang

    (State Grid Zhejiang Electric Power Corporation, Hangzhou 310007, China)

  • Xu He

    (State Grid Zhejiang Electric Power Corporation Ningbo Electric Power Supply Company, Ningbo 315010, China)

  • Bo Wang

    (State Grid Zhejiang Electric Power Corporation Ningbo Electric Power Supply Company, Ningbo 315010, China)

Abstract

With the rapid growth of renewable energy generation, it has become essential to give a comprehensive evaluation of renewable energy integration capability in power systems to reduce renewable generation curtailment. Existing research has not considered the correlations between wind power and photovoltaic (PV) power. In this paper, temporal and spatial correlations among different renewable generations are utilized to evaluate the integration capability of power systems based on the copula model. Firstly, the temporal and spatial correlation between wind and PV power generation is analyzed. Secondly, the temporal and spatial distribution model of both wind and PV power generation output is formulated based on the copula model. Thirdly, aggregated generation output scenarios of wind and PV power are generated. Fourthly, wind and PV power scenarios are utilized in an optimal power flow calculation model of power systems. Lastly, the integration capacity of wind power and PV power is shown to be able to be evaluated by satisfying the reliability of power system operation. Simulation results of a modified IEEE RTS-24 bus system indicate that the integration capability of renewable energy generation in power systems can be comprehensively evaluated based on the temporal and spatial correlations of renewable energy generation.

Suggested Citation

  • Hua Zhou & Huahua Wu & Chengjin Ye & Shijie Xiao & Jun Zhang & Xu He & Bo Wang, 2019. "Integration Capability Evaluation of Wind and Photovoltaic Generation in Power Systems Based on Temporal and Spatial Correlations," Energies, MDPI, vol. 12(1), pages 1-12, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:1:p:171-:d:195169
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    References listed on IDEAS

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    Cited by:

    1. Anderson Mitterhofer Iung & Fernando Luiz Cyrino Oliveira & André Luís Marques Marcato, 2023. "A Review on Modeling Variable Renewable Energy: Complementarity and Spatial–Temporal Dependence," Energies, MDPI, vol. 16(3), pages 1-24, January.
    2. Jie Zhu & Buxiang Zhou & Yiwei Qiu & Tianlei Zang & Yi Zhou & Shi Chen & Ningyi Dai & Huan Luo, 2023. "Survey on Modeling of Temporally and Spatially Interdependent Uncertainties in Renewable Power Systems," Energies, MDPI, vol. 16(16), pages 1-19, August.

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