Real-Time Regional PV Spinning Reserve Estimator with AGC Look-Ahead Windows
Curtailed PV generation is a zero-marginal cost spinning reserve that can be used for a number of active power control services. However, unlike the traditional spinning reserve providers, i.e., fossil-fueled generators, who have well-defined operating characteristics, e.g., available headroom or potential high limit (PHL), PV plants have by nature variable and uncertain operating characteristics. To ensure the effective coordination between PV plants and the system operator during an active power control event, accurate forecasts of the PV PHL are essential. A novel reference-control grouping based scaling method has been proposed by NREL to estimate the PV PHL in real-time. This work further enhances the methodology by: 1) improving the model accuracy through machine learning; 2) considering look-ahead windows introduced by the computation and communication latencies; 3) applying the method to regional spinning reserve estimation. A significant performance improvement, over 99% of estimation error reduction, has been observed based on real-world data collected by CAISO and PV plant operators.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 2305648
- Report Number(s):
- NREL/CP-5D00-88820; MainId:89599; UUID:d50a75cb-0f68-4aca-a5e7-65d1181f5181; MainAdminId:71813
- Resource Relation:
- Conference: Presented at the 2023 IEEE 50th Photovoltaic Specialists Conference (PVSC), 11-16 June 2023, San Juan, Puerto Rico; Related Information: 85148
- Country of Publication:
- United States
- Language:
- English
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