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Research on Robust Day-Ahead Dispatch Considering Primary Frequency Response of Wind Turbine
- Source :
- Applied Sciences, Volume 9, Issue 9, Applied Sciences, Vol 9, Iss 9, p 1784 (2019)
- Publication Year :
- 2019
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2019.
-
Abstract
- With the large-scale integration of renewable energy sources (e.g., wind power), the system inertial response and primary frequency regulation are affected. The virtual synchronous generator technology, which makes it possible for wind power units to adjust the frequency, provides a new way of approaching this problem. In this paper, we set up the related constraints that fit the optimal dispatch framework with a primary reserve representing the primary frequency response between the conventional synchronous generator and the wind power units, and the technical parameters of the virtual synchronous generator. Meanwhile, we use the robust day-ahead optimization dispatch model considering the wind power integrated primary frequency control in the real-time operation with the scenario of the wind power output showing the uncertainty of wind power. Based on the model, we identify the key set using an iterative method and obtain the maximum power loss. Through the proposed model, we could provide the day-ahead unit output and real-time primary reserve, thus ensuring the reliable operation of the system. Finally, the effectiveness of the proposed method is verified by a computational experiment.
- Subjects :
- Inertial response
Frequency response
Maximum power principle
Computer science
020209 energy
Automatic frequency control
primary frequency response
02 engineering and technology
Permanent magnet synchronous generator
lcsh:Technology
Turbine
lcsh:Chemistry
robust dispatch
Control theory
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
lcsh:QH301-705.5
Instrumentation
Fluid Flow and Transfer Processes
Wind power
lcsh:T
business.industry
primary reserve
Process Chemistry and Technology
020208 electrical & electronic engineering
General Engineering
virtual synchronous generator
wind power
lcsh:QC1-999
Computer Science Applications
Renewable energy
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
lcsh:Engineering (General). Civil engineering (General)
business
lcsh:Physics
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....a2895347553a1c0b462721470a4299e8
- Full Text :
- https://doi.org/10.3390/app9091784