Stochastic Modeling of a DFIG Wind Turbine in Matpower; IEEE Access; Vol. 9
| Parent link: | IEEE Access Vol. 9.— 2021.— [P. 76005-76014] |
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| Institutionell upphovsman: | |
| Övriga upphovsmän: | , , , , |
| Sammanfattning: | Title screen One 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. |
| Språk: | engelska |
| Publicerad: |
2021
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| Ämnen: | |
| Länkar: | http://earchive.tpu.ru/handle/11683/71104 https://doi.org/10.1109/ACCESS.2021.3081707 |
| Materialtyp: | Elektronisk Bokavsnitt |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665036 |
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| 200 | 1 | |a Stochastic Modeling of a DFIG Wind Turbine in Matpower |f Yu. D. Bay, A. A. Suvorov, A. S. Gusev [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 29 tit.] | ||
| 330 | |a One 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 | |t IEEE Access | ||
| 463 | |t Vol. 9 |v [P. 76005-76014] |d 2021 | ||
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a wind turbines | |
| 610 | 1 | |a wind speed | |
| 610 | 1 | |a probabilistic logic | |
| 610 | 1 | |a generators | |
| 610 | 1 | |a doubly fed induction generators | |
| 610 | 1 | |a stochastic processes | |
| 610 | 1 | |a wind power generation | |
| 610 | 1 | |a ветряные установки | |
| 610 | 1 | |a скорость ветра | |
| 610 | 1 | |a генераторы | |
| 610 | 1 | |a случайные процессы | |
| 701 | 1 | |a Bay |b Yu. D. |c Specialist in the field of electric power engineering |c Assistant of the Department of Tomsk Polytechnic University |f 1991- |g Yuly Dmitrievich |3 (RuTPU)RU\TPU\pers\40030 |9 21200 | |
| 701 | 1 | |a Suvorov |b A. A. |c specialist in the field of electric power engineering |c Associate Professor of Tomsk Polytechnic University, Candidate of Technical Sciences |f 1990- |g Aleksey Aleksandrovich |3 (RuTPU)RU\TPU\pers\35638 |9 18807 | |
| 701 | 1 | |a Gusev |b A. S. |c specialist in the field of electric power engineering |c Professor of Tomsk Polytechnic University, Doctor of technical sciences |f 1947- |g Alexander Sergeevich |3 (RuTPU)RU\TPU\pers\32885 | |
| 701 | 1 | |a Razzhivin |b I. A. |c Specialist in the field of electric power engineering |c Associate Professor of Tomsk Polytechnic University, Candidate of Technical Sciences |f 1989- |g Igor Andreevich |3 (RuTPU)RU\TPU\pers\37858 |9 20549 | |
| 701 | 1 | |a Askarov |b A. B. |c power industry specialist |c Research Engineer of Tomsk Polytechnic University |f 1994- |g Alisher Bakhramzhonovich |3 (RuTPU)RU\TPU\pers\43159 |9 21629 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа энергетики |b Отделение электроэнергетики и электротехники |3 (RuTPU)RU\TPU\col\23505 |
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