2004
DOI: 10.1109/tpwrs.2003.821459
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Transient Power System Analysis With Measurement-Based Gray Box and Hybrid Dynamic Equivalents

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Cited by 50 publications
(38 citation statements)
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“…Within this respect we would like to pinpoint some recent research carried out in constructing the dynamic equivalents through artificial neural networks reported in [18], [19] and [20]. The developed methodologies provide a voltage-current dynamic equivalent of an external system with unknown structure.…”
Section: A Construction and Use Of Dynamic Equivalentsmentioning
confidence: 99%
See 1 more Smart Citation
“…Within this respect we would like to pinpoint some recent research carried out in constructing the dynamic equivalents through artificial neural networks reported in [18], [19] and [20]. The developed methodologies provide a voltage-current dynamic equivalent of an external system with unknown structure.…”
Section: A Construction and Use Of Dynamic Equivalentsmentioning
confidence: 99%
“…The developed methodologies provide a voltage-current dynamic equivalent of an external system with unknown structure. In [18] and [19] two neural networks are used, one to extract states of the reduced order equivalent and one to predict the new states values of the external system. In [20] the external system is represented in an input-output formulation and only one neural network is used to predict system dynamic behavior.…”
Section: A Construction and Use Of Dynamic Equivalentsmentioning
confidence: 99%
“…In [19] an equivalent model of a microgrid is studied for the dynamic analysis based on an optimization method. In [20] a grey-box and hybrid dynamic equivalent model is proposed for transient power system analysis, and the measurement data of point of common couple (PCC) are collected for the parameter identification. A dynamic equivalent model of an Active Distribution Network based on a grey-box approach is proposed in [21], where the equivalent model comprises a generator and a composite load.…”
Section: Introductionmentioning
confidence: 99%
“…For this purpose, three main model reduction approaches, namely: (i) coherency methods based on identifying coherent groups of generators [5][6][7][8] modal methods based on linearised models of the external systems [3,9,10], and (iii) system identification methods based on measurement and simulation responses [11][12][13][14] have been considered.…”
Section: Introductionmentioning
confidence: 99%