Multi-level Assessment Method for Joint Hosting Capacity of Wind Power, Photovoltaic and Electric Vehicles in Distribution Grids
With the proliferation of renewable energy and the expansion of electric vehicle (EV) scales, the instability of wind and solar power, as well as the irregular charging behaviors of EVs, have altered load characteristics, potentially negatively impacting distribution networks at various levels. Therefore, it is crucial to regularly estimate the hosting capacity of distribution networks for new energy sources to ensure safe and stable operation. This paper proposes a multi-level estimation method for the joint hosting capacity of wind power, photovoltaic (PV) systems, and EVs to comprehensively assess the hosting capacity of multi-tiered distribution networks. First, based on foundational data, comprehensive demand coefficients and simultaneous rates of wind, solar and load, are obtained under a certain confidence level. Next, the joint hosting capacity (JHC) for equipment-level, county-level, and provincial-level distribution networks is evaluated separately. Finally, the results are adjusted to achieve consistency in hosting capacities across different levels. Simulation calculations on a virtual case demonstrate that the proposed method effectively assesses the maximum hosting capacity of multi-tiered distribution networks, providing guidance for the operation of distribution networks and the development of new energy sources.
Authors
- Ning Luo
- Fei Zheng (ORCID: https://orcid.org/0000-0002-6897-1626)
- Ludong Chen
- Hao Li (ORCID: https://orcid.org/0009-0001-6932-2097)
- Tianying Xiao
- Jie Wang (ORCID: https://orcid.org/0000-0002-3772-426X)
- Junlin Li (ORCID: https://orcid.org/0000-0002-9947-3988)
- Yi Cao (ORCID: https://orcid.org/0000-0002-7623-9830)
- Pengcheng Zhang (ORCID: https://orcid.org/0000-0003-4296-9648)
- Daoxin Han
Institutions
- Guizhou Electric Power Design and Research Institute (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1109/icepg63230.2024.10775595
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.00