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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Применить Всего найдено 2. Отображено 2.
04-07-2023 дата публикации

Electricity-gas coupled comprehensive energy system carbon emission monitoring method

Номер: CN116388147A
Автор: CAO RUIFENG, LIU ZIHUA, RU CHUANHONG, XIE BAOJIANG, QIN JIAN, HUANG WEIJIE, LUO YANGFAN, LOU WEIMING, CHEN TING, HUANG YAO, LI ZHE, DING YUHAI, CHEN JUNJIE, WANG ZUOFANG, MA YIFENG, ZHANG YUNPENG, WANG LU, LIU RUI, FENG LONG, CHEN LIFENG, YE LICHEN, XIE ZHONGTING, CAO JUN, LI JIAHUI, HUANG WEI, HONG LI'AO, ZHENG LIWEN, QI FUDONG, YE YUJING, YANG ZHOUYI
Принадлежит:

The invention discloses an electricity-gas coupled comprehensive energy system carbon emission monitoring method. The method comprises the following steps: S1, calculating system power flow; s2, generating a branch power flow distribution matrix PB, a unit injection distribution matrix PG, a load distribution matrix PL and a node active flux matrix PN; s3, whether the absolute value of the node active flux matrix PN is equal to 0 or not is judged, if yes, the corresponding node of the row where the diagonal element is 0 in the PN and the unit and the line connected with the corresponding node are removed from the power grid, the steps S2 to S3 are repeated, and if not, the step S4 is executed; s4, calculating a power grid node carbon potential En and a gas network node carbon potential Egas.n; s5, calculating carbon flow distribution of power grid branches and loads and calculating a gas network carbon emission flow model; and S6, reducing and distributing to each energy hub EH. The method ...

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Номер записи: 1
06-06-2023 дата публикации

SVM-based green energy power station fault diagnosis method and device

Номер: CN116226768A
Автор: LIU ZIHUA, CAO RUIFENG, RU CHUANHONG, XIE BAOJIANG, QIN JIAN, HUANG WEIJIE, LUO YANGFAN, LOU WEIMING, CHEN TING, HUANG YAO, LI ZHE, DING YUHAI, CHEN JUNJIE, WANG ZUOFANG, MA YIFENG, ZHANG YUNPENG, WANG LU, LIU RUI, FENG LONG, CHEN LIFENG, YE LICHEN, XIE ZHONGTING, CAO JUN, LI JIAHUI, HUANG WEI, HONG LI'AO, ZHENG LIWEN, QI FUDONG, ZHANG WENBO, SUN YIWEN
Принадлежит:

The invention discloses an SVM-based green energy power station fault diagnosis method and apparatus. The method comprises the steps of obtaining feature data of operation factors influencing a green energy power station; converting the feature data into feature vectors, and dividing the feature vectors into multiple groups of data feature sets according to fault types; inputting the multiple groups of data feature sets into the corresponding diagnosis SVM models respectively, and outputting a first fault type and a first occurrence probability of each diagnosis SVM model respectively; inputting each first fault type and the first occurrence probability thereof into a combiner for data fusion to obtain each first fault type and the final occurrence probability thereof; determining the first fault type corresponding to the maximum value of the final occurrence probability as a final fault type; and outputting a diagnosis result according to the final fault type. By processing the feature ...

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Номер записи: 2