Quasi-Static Time-Series PV Hosting Capacity Methodology and Metrics
| Autor: | Kelsey A. W. Horowitz, Nicolas Gensollen, Akshay Kumar Jain, Barry Mather, Fei Ding, Bryan Palmintier |
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| Rok vydání: | 2019 |
| Předmět: |
Series (mathematics)
Computer science 020209 energy 020208 electrical & electronic engineering Photovoltaic system 02 engineering and technology Grid Reliability engineering Nameplate capacity 0202 electrical engineering electronic engineering information engineering Power-flow study Quasistatic process Engineering analysis Voltage |
| Zdroj: | ISGT |
| DOI: | 10.1109/isgt.2019.8791569 |
| Popis: | Distributed photovoltaic systems (DPV) can cause adverse grid impacts, including voltage or thermal violations. The installed capacity at which violations first occur and above which would require system upgrades is called the hosting capacity. Current methods for determining hosting capacity tend to be conservative by either only considering infrequent worst-case snapshots in time and/or only capturing coarse time and spatial resolution. Additionally, current hosting capacity methods do not accurately capture the time-dependence making them unable to capture the behavior of voltage regulating equipment and of some advanced controls mitigations. This can trigger delays from unnecessary engineering analysis or deter solar installations in areas that are actually suitable. We propose a quasi-static-time-series (QSTS) based PV hosting capacity methodology to address these issues. With this approach, we conduct power flow analysis over the course of a full year, to capture time-varying parameters and control device actions explicitly. We show that this approach can more fully capture grid impacts of DPV than traditional methods. |
| Databáze: | OpenAIRE |
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