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Energies 2019, 12(1), 171; https://doi.org/10.3390/en12010171

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

1
State Grid Zhejiang Electric Power Corporation, Hangzhou 310007, China
2
College of Electric Engineering, Zhejiang University, Hangzhou 310027, China
3
State Grid Zhejiang Electric Power Corporation Ningbo Electric Power Supply Company, Ningbo 315010, China
*
Author to whom correspondence should be addressed.
Received: 5 December 2018 / Revised: 28 December 2018 / Accepted: 31 December 2018 / Published: 5 January 2019
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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. View Full-Text
Keywords: wind power; photovoltaic (PV) power; integration capability; temporal and spatial correlation; copula model wind power; photovoltaic (PV) power; integration capability; temporal and spatial correlation; copula model
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Zhou, H.; Wu, H.; Ye, C.; Xiao, S.; Zhang, J.; He, X.; Wang, B. Integration Capability Evaluation of Wind and Photovoltaic Generation in Power Systems Based on Temporal and Spatial Correlations. Energies 2019, 12, 171.

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