Improving the Performance of Integrated Power-Hardware-in-the-Loop and Quasi-Static Time-Series Simulations

Prabakar, Kumaraguru; Palmintier, Bryan; Pratt, Annabelle; Hariri, Ali; Mendoza, Ismael; Baggu, Murali Mohan

doi:10.1109/tie.2020.3029465

Title: Improving the Performance of Integrated Power-Hardware-in-the-Loop and Quasi-Static Time-Series Simulations

Journal Article · Tue Oct 13 00:00:00 EDT 2020 · IEEE Translations on Industrial Electronics

DOI:https://doi.org/10.1109/tie.2020.3029465· OSTI ID:1770882

^[1];

^[1]; Pratt, Annabelle ^[1]; Hariri, Ali ^[1];

^[1]; Baggu, Murali Mohan ^[1]

National Renewable Energy Lab. (NREL), Golden, CO (United States)

This paper introduces a novel multirate cosimulation architecture that overcomes previous challenges integrating faster real-time, microseconds-scale, power-hardware-in-the-loop (PHIL) with larger scale but slower, real-time, seconds-scale, quasi-static time-series (QSTS) simulation. Specifically, an intermediate reduced-equivalent electromagnetic transient (EMT) model duplicates the key power system topology to capture high-speed dynamics and converge hardware-power system interactions between QSTS updates. Exchanging multidimensional parameter vectors (loads, control status, etc.) between the QSTS and EMT models enables capturing the interactions of the rich, high-node-count (thousands of electrical nodes) QSTS model with the hardware. This architecture offers full spatial resolution from QSTS, including individual load dynamics, actual distribution management system controls, and nodal voltages. Simultaneously, the intermediate EMT model provides more detailed high-speed transients of key distributed energy resource hardware interactions. In addition, we use careful PHIL interface design and the exchange of complex power data, rather than current, to further improve performance. This cosimulation architecture is demonstrated by testing a simulated distribution system with an interconnected 500-kVA advanced photovoltaic (PV) inverter in PHIL. In conclusion, the architecture successfully captured PV local volt-volt ampere reactive (volt-VAR) control interactions with the larger network under time-varying electrical and weather conditions.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Electricity (OE), Advanced Grid Research & Development

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1770882

Report Number(s):: NREL/JA-5D00-77967; MainId:31876; UUID:71cb5f6e-133c-4024-b13c-8283b83f56fb; MainAdminID:19744

Journal Information:: IEEE Translations on Industrial Electronics, Vol. 68, Issue 11; ISSN 0278-0046

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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