Hosting capacity analysis of distribution network considering photovoltaic uncertainties

Jingli Liu; Fei Jin; Baogang Hou; Yu Zhou

doi:10.1117/12.2646930

7 September 2022 Hosting capacity analysis of distribution network considering photovoltaic uncertainties

Jingli Liu, Fei Jin, Baogang Hou, Yu Zhou

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232931 (2022) https://doi.org/10.1117/12.2646930
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

In the “Whole County Photovoltaic” background, the large-scale access of distributed photovoltaic(DPV) to the distribution network poses a challenge to the hosting capacity of the distribution network. Scene generation and scene reduction method was used to describe the uncertainty of photovoltaic(PV) power, Monte Carlo simulation method was used to sample the uncertainty of PV configuration, and the hosting capacity analysis method of distribution network considering the uncertainty of PV power and configuration mode was proposed. The forward and back power flow method is adopted, and a standard example of IEEE33 node is used to illustrate adaptability and effectiveness of the proposed method.

Citation Download Citation

Jingli Liu, Fei Jin, Baogang Hou, and Yu Zhou "Hosting capacity analysis of distribution network considering photovoltaic uncertainties", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232931 (7 September 2022); https://doi.org/10.1117/12.2646930

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