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Renewable Energy Accommodation Capability Evaluation of Power System with Wind Power and Photovoltaic Integration

机译：具有风电和光伏集成电力系统的可再生能源容纳能力评估

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This paper proposes a novel approach to evaluate the renewable energy accommodation capacity (REAC) of power system with wind power and photovoltaic (PV) integration. Based on Copula theory, the wind power output model is proposed considering uncertainty and the spatial correlation of wind speed in different wind farms. The PV output model is presented based on solar irradiance and weather influence factor. The solar irradiance depicts the periodicity and correlation of PV output while the new concept of weather influence factor is introduced to reflect the uncertainty of PV output. And the REAC evaluation model considering reliability of power system with wind power and PV integration is proposed with Monte-Carlo method. The proposed method comprehensively considers the characteristics of renewable energy and evaluates power system REAC more accurately. Furthermore, the influences of multiple factors on REAC of power system are analyzed. Results of case studies based on IEEE Case 39 test system and actual historical renewable energy data of northern China illustrate the feasibility of proposed approach.
机译：本文提出了一种新颖的方法来评估带风电和光伏（PV）集成的电力系统的可再生能量容纳能力（REAC）。基于Copula理论，提出了风力输出模型，考虑了不同风电场风速的不确定性和空间相关性。基于太阳辐照度和天气影响因素提出了PV输出模型。太阳辐照度描绘了PV输出的周期性和相关性，而引入新的天气影响因子的概念以反映PV输出的不确定性。蒙特卡罗法提出了考虑随风电力和PV集成的电力系统可靠性的REAC评估模型。该方法全面考虑可再生能源的特点，并更准确地评估电力系统REAC。此外，分析了多种因素对电力系统REAC的影响。基于IEEE案例39测试系统的案例研究结果和中国北方的实际历史可再生能源数据说明了所提出的方法的可行性。

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