Research on the Calculation Method of Openable Capacity of Distributed Photovoltaic System
This paper summarizes the current status of research on calculation methods for the openable capacity of distributed photovoltaic (PV) systems, and discusses the specific content and application of the six main calculation methods. The method based on voltage deviation opportunity constraints is planned by building a probabilistic tidal current calculation model for distribution networks, combining the correlation of PV output and opportunity constraints. The integrated demand response model is by constructing a steady state model of the integrated electric-thermal energy system, combined with price-based, incentive-based and elastic thermal load response. Active management and demand-side management methods use a two-stage robust optimization model to improve PV access capacity under “source-load” uncertainty by combining multiple active management measures. Hybrid particle swarm algorithms are used to accurately calculate capacity by combining constraints such as voltage deviation and line current carrying capacity. The method of considering reasonable light abandonment is to allow a certain percentage of PV power to be abandoned, combined with control means such as transformer tap regulation; the method based on harmonic constraints is to analyze the harmonic characteristics generated by PV inverters, and consider voltage, capacity and harmonic constraints comprehensively. Each of these methods has its own characteristics, and together they promote the refinement and intelligent development of the calculation of the openable capacity of distributed PV systems.
Authors
- X. Zhang (ORCID: https://orcid.org/0000-0002-8740-3480)
- Yiting Xu
- Zheng Liu (ORCID: https://orcid.org/0000-0002-8825-7198)
- Ran Li (ORCID: https://orcid.org/0000-0002-5813-5755)
- Jiaxuan Wen
- Yunan Liu (ORCID: https://orcid.org/0000-0002-7344-8645)
- Zhijie Lin (ORCID: https://orcid.org/0000-0001-6890-1225)
- Bolun Cai
Publication Details
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1109/icepg63230.2024.10775623
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.00