Abstract:
All new photovoltaic (PV) systems that interconnect with the power grid must now be capable of various advanced inverter functions that can be leveraged to improve grid c...Show MoreMetadata
Abstract:
All new photovoltaic (PV) systems that interconnect with the power grid must now be capable of various advanced inverter functions that can be leveraged to improve grid conditions and increase PV hosting capacity. However, conventional methods to evaluate the impacts of advanced inverter functions require detailed grid models and time-consuming simulations. To address these drawbacks, a data-driven evaluation framework is proposed that uses historical smart meter measurements to determine how different PV inverter control objectives would impact local grid conditions. The proposed framework was tested on real utility data for the application of hosting capacity analysis, and the results were compared to conventional model-based analyses. Overall, the proposed framework was found to have significant computational advantages without sacrificing accuracy.
Published in: 2024 IEEE 52nd Photovoltaic Specialist Conference (PVSC)
Date of Conference: 09-14 June 2024
Date Added to IEEE Xplore: 15 November 2024
ISBN Information: