| 000 | 04201nlm1a2200505 4500 | ||
|---|---|---|---|
| 001 | 665036 | ||
| 005 | 20231030041950.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\36235 | ||
| 090 | _a665036 | ||
| 100 | _a20210624a2021 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 102 | _aUS | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aStochastic Modeling of a DFIG Wind Turbine in Matpower _fYu. D. Bay, A. A. Suvorov, A. S. Gusev [et al.] |
|
| 203 |
_aText _celectronic |
||
| 300 | _aTitle screen | ||
| 320 | _a[References: 29 tit.] | ||
| 330 | _aOne of the main trends in the electric power industry is the use of green energy – renewable energy sources (RES), especially wind power generation. The penetration of large wind turbine (WT) power capacity leads to changes in the topology and characteristics of electric power systems (EPS), which can cause an increase the likelihood of emergency processes and a decrease in the steady-state and transient EPS stability. The issue arises in ensuring the EPS stability with RES units, especially in the case of large disturbances. The main way to solve this issue is mathematical modeling. However, almost all the main currently used software programs are based on deterministic methods for calculating EPS processes, which are not able to consider all possible state uncertainties. To reliably determine all possible states of the system in which it can be, it is necessary to determine in a non-deterministic form how the values in the nodes and branches will be distributed. The peculiarity of this paper is associated with the use of a set of approaches to increase the accuracy of the results obtained: the approximation method in combination with two goodness-of-fit criteria for wind; the SIBD method, which generates the required probability density without loss of density values; and the controlled discretization of input variables. This paper assumes the formation of a WT stochastic model to study the impact of RES on stability in a non-deterministic form using the example of IEEE standard bus systems in the Matpower program. | ||
| 461 | _tIEEE Access | ||
| 463 |
_tVol. 9 _v[P. 76005-76014] _d2021 |
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| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _awind turbines | |
| 610 | 1 | _awind speed | |
| 610 | 1 | _aprobabilistic logic | |
| 610 | 1 | _agenerators | |
| 610 | 1 | _adoubly fed induction generators | |
| 610 | 1 | _astochastic processes | |
| 610 | 1 | _awind power generation | |
| 610 | 1 | _aветряные установки | |
| 610 | 1 | _aскорость ветра | |
| 610 | 1 | _aгенераторы | |
| 610 | 1 | _aслучайные процессы | |
| 701 | 1 |
_aBay _bYu. D. _cSpecialist in the field of electric power engineering _cAssistant of the Department of Tomsk Polytechnic University _f1991- _gYuly Dmitrievich _2stltpush _3(RuTPU)RU\TPU\pers\40030 |
|
| 701 | 1 |
_aSuvorov _bA. A. _cspecialist in the field of electric power engineering _cassistant of Tomsk Polytechnic University _f1990- _gAleksey Aleksandrovich _2stltpush _3(RuTPU)RU\TPU\pers\35638 |
|
| 701 | 1 |
_aGusev _bA. S. _cspecialist in the field of electric power engineering _cProfessor of Tomsk Polytechnic University, Doctor of technical sciences _f1947- _gAlexander Sergeevich _2stltpush _3(RuTPU)RU\TPU\pers\32885 |
|
| 701 | 1 |
_aRazzhivin _bI. A. _cSpecialist in the field of electric power engineering _cAssistant of the Department of Tomsk Polytechnic University _f1989- _gIgor Andreevich _2stltpush _3(RuTPU)RU\TPU\pers\37858 |
|
| 701 | 1 |
_aAskarov _bA. B. _cpower industry specialist _cResearch Engineer of Tomsk Polytechnic University _f1994- _gAlisher Bakhramzhonovich _2stltpush _3(RuTPU)RU\TPU\pers\43159 |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа энергетики _bОтделение электроэнергетики и электротехники _h8022 _2stltpush _3(RuTPU)RU\TPU\col\23505 |
| 801 | 2 |
_aRU _b63413507 _c20220607 _gRCR |
|
| 856 | 4 | 0 | _uhttp://earchive.tpu.ru/handle/11683/71104 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1109/ACCESS.2021.3081707 |
| 942 | _cCF | ||