Evaluation Method of Distributed Photovoltaic Carrying Capacity in Distribution Network Based on Voltage Sensitivity Ranking

• Published in: 2022 IEEE 5th International Electrical and Energy Conference (CIEEC) pp. 238 - 243
• Main Authors: Yu, Haozheng, Li, Ke, Guo, Xinzhi, Quan, Shaoli, Zhao, Hanjie, Zhu, Xingxu, Li, Cuiping, Zhu, Wenchao, Yan, Jiaqi, Gao, Kunqi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 27.05.2022
• Subjects: bearing capacity; distributed photovoltaic; distribution network; Distribution networks; Inspection; Photovoltaic systems; Planning; Power transmission; Sensitivity; Voltage; voltage sensitivity
• DOI: 10.1109/CIEEC54735.2022.9846285

With the increase of the proportion and dispersion of distributed PV connected to the distribution network, the possibility of extreme PV configuration is decreasing. However, the traditional bearing capacity evaluation includes a large number of extreme photovoltaic configuration scenarios, and the calculation results are too conservative. At the same time, the traditional evaluation method ignores the limitation of reverse power transmission to the main network at the time of large photovoltaic generation in the distribution network. For the above problems, a distributed photovoltaic carrying capacity evaluation method based on voltage sensitivity ranking is proposed. The method includes access scheme modification layer and index inspection layer: the voltage sensitivity ranking method is introduced into the access scheme modification layer to optimize the access scheme in each iteration and eliminate the extreme value distribution of photovoltaic. In the index inspection layer, the voltage deviation index and reverse power transmission of high proportion distributed photovoltaic distribution network are introduced to judge the rationality of the optimization scheme and feed back to the modification layer of the access scheme. The two-layer iteration finally obtains the calculation results of the distributed photovoltaic carrying capacity of the network. This method is closer to reality, reduces the conservatism of calculation and improves the adaptability of calculation. It has certain guiding significance for the photovoltaic planning and construction of the actual distribution network.