| 000 | 03284nlm0a2200517 4500 | ||
|---|---|---|---|
| 001 | 661022 | ||
| 005 | 20231030041731.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\31227 | ||
| 035 | _aRU\TPU\network\23994 | ||
| 090 | _a661022 | ||
| 100 | _a20191118d2019 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 105 | _aa z 101zy | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aThe Architecture and Functionality of the Software to Identify the Actual Voltage Static Load Characteristics of Large Consumers _fM. Kondrashov, A. V. Pankratov, N. L. Batseva |
|
| 203 |
_aText _celectronic |
||
| 300 | _aTitle screen | ||
| 320 | _a[References: 26 tit.] | ||
| 330 | _aThe correct voltage static load characteristics are required for efficient and reliable dispatching control in power systems and for stability simulation studies. Nowadays, one of the key problems is updating available static load characteristics due to the lack of special software for voltage and power measurement data processing. This article proposes the algorithm and architecture of special software and their implementation to computerize the process of correct voltage static load characteristics obtaining. The developed algorithm is based on data mining methods, and the results of calculations can be used in software packages that support the Common Information Model standard. | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 463 |
_tControl and Communications (SIBCON-2019) _oproceedings of International Siberian Conference, April 18-20, 2019, Russia, Tomsk _v[18739805, 5 p.] _d2019 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _avoltage static load characteristics | |
| 610 | 1 | _aZIP model | |
| 610 | 1 | _asoftware | |
| 610 | 1 | _acommon information model | |
| 610 | 1 | _adata mining | |
| 610 | 1 | _acluster analysis | |
| 610 | 1 | _aregression analysis | |
| 610 | 1 | _aanomaly detection | |
| 610 | 1 | _aстатические нагрузки | |
| 610 | 1 | _aпрограммное обеспечение | |
| 610 | 1 | _aсбор данных | |
| 610 | 1 | _aкластерный анализ | |
| 610 | 1 | _aрегрессионный анализ | |
| 610 | 1 | _aаномалии | |
| 700 | 1 |
_aKondrashov _bM. _gMikhail |
|
| 701 | 1 |
_aPankratov _bA. V. _cspecialist in the field of electric power engineering _cAssociate Professor of Tomsk Polytechnic University, Candidate of technical sciences _f1983- _gAleksey Vladimirovich _2stltpush _3(RuTPU)RU\TPU\pers\33022 |
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| 701 | 1 |
_aBatseva _bN. L. _cSpecialist in the field of electric power engineering _cAssociate Professor of Tomsk Polytechnic University, Candidate of technical sciences _f1968- _gNatalya Lenmirovna _2stltpush _3(RuTPU)RU\TPU\pers\31306 |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа энергетики _bОтделение электроэнергетики и электротехники (ОЭЭ) _h8022 _2stltpush _3(RuTPU)RU\TPU\col\23505 |
| 801 | 2 |
_aRU _b63413507 _c20191118 _gRCR |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1109/SIBCON.2019.8729660 |
| 942 | _cCF | ||