Research on Modeling of Microgrid Based on Data Testing and Parameter Identification

Junjun Zhang, Yaojie Sun, Meiyin Liu, Wei Dong and Pingping Han
Additional contact information
Junjun Zhang: College of Information Science and Technology, Fudan University, Shanghai 200433, China
Yaojie Sun: College of Information Science and Technology, Fudan University, Shanghai 200433, China
Meiyin Liu: State Key Laboratory of Operation and Control of Renewable Energy & Storage, China EPRI, Nanjing 210003, China
Wei Dong: State Key Laboratory of Operation and Control of Renewable Energy & Storage, China EPRI, Nanjing 210003, China
Pingping Han: College of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

Energies, 2018, vol. 11, issue 10, 1-15

Abstract: The model parameter identification based on real operation data is a means to accurately determine the simulation parameters of the microgrid, but the real operation data cannot guarantee the exact agreement with the required data for parameter identification, which has become an important restriction factor in the accurate simulation and analysis of the dynamics of the microgrid. This paper provides a method of modeling of microgrid based on data testing and parameter identification. In this paper, the method of parameter trajectory sensitivity is first introduced. Then, the data testing scheme for parameter identification is presented, and the parameter identification flow chart is given. Thirdly, a microgrid demonstration system in China is taken as an example, the important parameters of the distributed photovoltaic, direct-drive wind turbine and energy storage unit in the system are obtained by data testing and parameter identification, and in the end, the accuracy of the model is verified through the comparison of the simulation data and the test data of the microgrid during grid-connection/island switching process. The obtained microgrid model provides a base model for the analysis of the overall characteristics, such as the transient stability, as well as power quality of the microgrid.

Keywords: modeling method; parameter identification; data testing; microgrid; grid-connection/island switching process (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/10/2525/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/10/2525/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:10:p:2525-:d:171405

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().