Validating Performance Models for Hybrid Power Plant Control Assessment

Lennart Petersen, Florin Iov, German Claudio Tarnowski, Vahan Gevorgian, Przemyslaw Koralewicz and Daniel-Ioan Stroe
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Lennart Petersen: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Florin Iov: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
German Claudio Tarnowski: Vestas Wind Systems, 8200 Aarhus N, Denmark
Vahan Gevorgian: National Renewable Energy Laboratory, Golden, CO 80401, USA
Przemyslaw Koralewicz: National Renewable Energy Laboratory, Golden, CO 80401, USA
Daniel-Ioan Stroe: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark

Energies, 2019, vol. 12, issue 22, 1-26

Abstract: The need for simple, but accurate performance models of wind turbine generators (WTGs), photovoltaic (PV) plants, and battery energy storage systems (BESS) for various hybrid power plant (HPP) studies motivates the present work. Particularly, the development and verification stage of HPP controls requires reduced-order models to minimize the complexity and computation effort of simulation platforms. In this paper, such models are proposed, and the most essential parts of the models are validated through field measurements. The models target power system integration studies involving active and reactive power, as well as frequency and voltage regulation where detailed models, as proposed in the standards, can be cumbersome. Field measurements of two Vestas WTGs, one 1-MW PV plant, and one 1-MW/1-MWh BESS are used for model validation. The results show that the WTG and PV performance models correctly estimate the power generation variability according to fluctuations in wind speed and solar irradiance. The BESS performance model provides satisfactory results related to grid-forming control performance and estimation of state-of-charge. The presented validation work enables using the proposed performance models for power system studies and HPP control design in all model-based design stages, that is, preliminary analysis, design, verification, and validation with a high level of confidence.

Keywords: hybrid power plant; wind power; solar photovoltaic; battery storage; performance models; control assessment; model-based design; validation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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