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

Hua Zhou, Huahua Wu, Chengjin Ye, Shijie Xiao, Jun Zhang, Xu He and Bo Wang
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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

Energies, 2019, vol. 12, issue 1, 1-12

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.

Keywords: wind power; photovoltaic (PV) power; integration capability; temporal and spatial correlation; copula model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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