A Hierarchical Optimization Method for Parameter Estimation of Diesel Generators

Diesel generators (DGs) are used to provide electrical power to consumers because their power outputs can be scheduled, and they offer stable operating characteristics in a standalone or microgrid system. The parameters for DGs are set to ensure reliable and accurate simulation for distributed energ...

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Vydané v:IEEE access Ročník 8; s. 176467 - 176479
Hlavní autori: Huang, Chao-Ming, Huang, Yann-Chang, Chen, Shin-Ju, Yang, Sung-Pei
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Diesel generators
Distributed generation
Energy sources
enhanced whale optimization algorithm
Generators
hierarchical optimization method
Microgrid system
Microgrids
Optimization
Parameter estimation
Parameter sensitivity
Power consumption
Sensitivity analysis
Simulation
System reliability
Transient analysis
Voltage control
ISSN:2169-3536, 2169-3536
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Popis
Shrnutí:Diesel generators (DGs) are used to provide electrical power to consumers because their power outputs can be scheduled, and they offer stable operating characteristics in a standalone or microgrid system. The parameters for DGs are set to ensure reliable and accurate simulation for distributed energy resources (DERs), which increases system reliability, maintains power supply quality and reduces operational costs. There are many parameters that must be estimated for a DG. These parameter settings such as system gains and time constants may vary, as facilities are run for a few days. Parameters for a DG must then be re-estimated to ensure accurate simulation in a microgrid system. The proposed method uses a sensitivity analysis to classify parameters into three different categories. A hierarchical optimization method combined with an enhanced whale optimization algorithm (EWOA) is then used to estimate the parameter settings for a DG using actual measurement data. The proposed method is applied to a practical microgrid system, and the results show that the proposed method determines the optimal parameter settings for a DG that enables accurate simulation and robust implementation for a microgrid system.
Bibliografia:ObjectType-Article-1
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3026670