Hosting Capacity Assessment in Distribution Networks Considering Wind–Photovoltaic–Load Temporal Characteristics

Frontiers in Energy Research

Runzhao Lu¹  Jian Zhang¹  Chenxu Wang²  Jiarui Xie³  Xin Gao³  Qingfen Liao³  Nianchun Du³  Fei Tang³ 

[1] Beijing, China;Hangzhou, China;Wuhan, China;

关键词: distributed renewable energy;    hosting capacity;    holomorphic embedding method;    time series;    voltage violation;   

DOI  :  10.3389/fenrg.2021.767610

来源: Frontiers

【 摘 要 】

Under the background of clean and low-carbon energy transformation, renewable distributed generation is connected to the distribution system on a large scale. This study proposes a probabilistic assessment method of hosting capacity considering wind–photovoltaic–load temporal characteristics in distribution networks. First, based on time series of wind, photovoltaic, and load demands, a discretization–aggregation technique is introduced to generate and filter extreme combinations. The method can effectively reduce the scenarios that need to be evaluated. Then a holomorphic embedding method considering generation and load scaling directions is proposed. The holomorphic function of voltage about an embedding variable is established, and it is analytically expanded in the form of series. The hosting capacity restrained by the voltage violation problem is calculated quickly and accurately. Finally, the proposed stochastic framework is implemented to evaluate hosting capacity involving renewable energy types, penetration levels, and locations. The hosting capacity of single energy and hybrid wind–solar renewable energy systems is evaluated from the perspective of probability analysis. The results verify the outstanding performance of the hybrid wind–solar energy system in improving the hosting capacity.

【 授权许可】

CC BY