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Small Time-Step FPGA-Based Real-Time Simulation of Power Systems Including Multiple Converters
- Source :
- IEEE Transactions on Power Delivery. 34:2089-2099
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- This paper presents an FPGA-based Digital Real-Time Simulation (DRTS) environment for the analysis of Electromagnetic Transients (EMTs) of power systems that include multiple Power Electronic Converters (PECs). The main features of the proposed DRTS platform are that it i) employs two-value resistor switch model for PECs and thus avoids inaccuracies of Associate Discrete Circuit (ADC) model and ii) does not require separation of PECs by transmission lines (stub lines) and thus accurately represents PECs in close electrical proximity of each other. These features respectively result in a time-variant and large system admittance matrix which significantly increases the computation burden in each simulation time-step and can render it infeasible for real-time applications. To overcome this problem this paper introduces i) Switching-Network Partitioning (SNP) method which is tailored for PECs representation in FPGA and ii) Reformulated Modified Nodal Analysis (RMNA) method to enable computational parallelism between the solution of network and component models in FPGA. SNP enables solution-level partitioning of the PECs and the rest of the system. The developed DRTS platform enables sub-microsecond simulation time-step and provides a fixed hardware irrespective of the system configuration. Performance of the platform is evaluated for a study system and verified versus off-line simulation studies.
- Subjects :
- business.industry
Computer science
020209 energy
Energy Engineering and Power Technology
02 engineering and technology
Discrete circuit
Converters
Modified nodal analysis
Admittance parameters
Electric power system
Electric power transmission
Real-time simulation
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
business
Field-programmable gate array
Computer hardware
Subjects
Details
- ISSN :
- 19374208 and 08858977
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Power Delivery
- Accession number :
- edsair.doi...........beab71ee1f595200ef119d7514307cc0