Abstract
With the successful commercialization of modular multilevel converters (MMC) and rapid increase in photovoltaic (PV) penetration and energy storage systems (ESS), one of the research areas being explored dynamically is integration of PV systems and ESS systems to MMCs. On this front, an integrated development of PV plants, ESS, and alternating-and direct-current (ac/dc) systems through Multi-Port Autonomous Reconfigurable Solar (MARS) plant is proposed and being researched upon. However, simulation of MARS systems on traditional existing software takes very long time (order of days) due to the presence of a large number of states and non-linear devices. Therefore, development of fast high fidelity models is of paramount importance to test the hardware design, control design and planning of power system expansions. In this context, two research objectives are addressed in this paper: firstly, an ultra fast single-or multi-CPU simulation algorithm to simulate the MARS system based on state-space models, hybrid discretization algorithm with a relaxation technique that reduces the imposed computational burden and a multi-rate method is presented. Secondly, a reduced order model of MARS is also presented. Both the developed techniques are validated with respect to reference PSCAD/EMTDC model.
Original language | English |
---|---|
Title of host publication | 2020 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728145471 |
DOIs | |
State | Published - Oct 12 2020 |
Event | 2020 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2020 - Chicago, United States Duration: Oct 12 2020 → Oct 15 2020 |
Publication series
Name | Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference |
---|---|
Volume | 2020-October |
ISSN (Print) | 2160-8555 |
ISSN (Electronic) | 2160-8563 |
Conference
Conference | 2020 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2020 |
---|---|
Country/Territory | United States |
City | Chicago |
Period | 10/12/20 → 10/15/20 |
Funding
ACKNOWLEDGEMENT This paper is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number 34019. The authors acknowledge Dr. Jiuping Pan from ABB and Dr. Sudipta Chakraborty from Opal-RT for their valuable inputs in this work. Authors would also like to thank Dr. Jian Fu and Dr. Hariharan Krishnaswami from SETO for overseeing the project developments and providing guidance.