Probabilistic Assessment of Hybrid Wind-PV Hosting Capacity in Distribution Systems

被引:25
|
作者
Liu, Dichen [1 ]
Wang, Chenxu [1 ]
Tang, Fei [1 ]
Zhou, Yixi [2 ]
机构
[1] Wuhan Univ, Sch Elect Engn & Automat, Wuhan 430072, Peoples R China
[2] State Grid Hangzhou Elect Power Supply Co, Hangzhou 310000, Peoples R China
基金
中国国家自然科学基金;
关键词
Hybrid energy system; wind power; photovoltaic; hosting capacity; distribution system; RENEWABLE ENERGY; LOW-VOLTAGE; LOAD FLOW; DISTRIBUTION NETWORKS; POWER-SYSTEMS; GENERATION; COMPLEMENTARITY; IMPACT; SOLAR; RESOURCES;
D O I
10.3390/su12062183
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, hybrid wind-photovoltaic (PV) systems are flourishing due to their advantages in the utilization of renewable energy. However, the accurate assessment of the maximum integration of hybrid renewable generation is problematic because of the complex uncertainties of source and demand. To address this issue, we develop a stochastic framework for the quantification of hybrid energy hosting capacity. In the proposed framework, historical data sets are adopted to represent the stochastic nature of production and demand. Moreover, extreme combinations of production and demand are introduced to avoid multiple load flow calculations. The proposed framework is conducted in the IEEE 33-bus system to evaluate both single and hybrid energy hosting capacity. The results demonstrate that the stochastic framework can provide accurate evaluations of hosting capacity while significantly reducing the computational burden. This study provides a comprehensive understanding of hybrid wind-PV hosting capacity and verifies the excellent performance of the hybrid energy system in facilitating integration and energy utilization.
引用
收藏
页数:19
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