Online Estimation of Plant Participation Factors for Automatic Generation Control in Power Systems with Variable Energy Resources; IEEE Transactions on Industry Applications; Vol. ХХ, iss. Х

Online Estimation of Plant Participation Factors for Automatic Generation Control in Power Systems with Variable Energy Resources; IEEE Transactions on Industry Applications; Vol. ХХ, iss. Х

Chi tiết về thư mục
Parent link:	IEEE Transactions on Industry Applications Vol. ХХ, iss. Х.— 2022.— [10 p.]
Tác giả chính:	Tsydenov E. A. Evgeny Aleksandrovich
Tác giả của công ty:	Национальный исследовательский Томский политехнический университет Инженерная школа энергетики Отделение электроэнергетики и электротехники (ОЭЭ)
Tác giả khác:	Prokhorov A. V. Anton Viktorovich, Wang Li
Tóm tắt:	Title screen The paper discusses the limitations of existing automatic generation control systems that appear under the impact of variable energy resources. To overcome identified issues, the authors proposed an approach that advances the functional block responsible for computation of plant participation factors. This approach connects an optimizer with a component for power flow calculations and allows online estimation of plant participation factors to increase flexibility and selectivity of automatic generation control. The corresponding optimization models were established to perform conventional and advanced control strategies. To meet performance requirements imposed by variable energy sources, the machine learning model, namely the densely connected neural network, was designed for power flow calculations. Besides, Lasso regression method was proposed to select relevant features for the considered control tasks and improve the performance of the machine learning-based power flow model. Finally, the software tool was developed to implement the proposed approach and tested on a model of real 60 GW interconnection containing 464 nodes and 742 branches. The results of the software testing confirmed its feasibility and easy integration into existing automatic generation control systems. Режим доступа: по договору с организацией-держателем ресурса
Ngôn ngữ:	Tiếng Anh
Được phát hành:	2022
Những chủ đề:	труды учёных ТПУ электронный ресурс automatic generation control load flow task analysis optimization power systems adaptation models databases автоматическое управление нагрузки оптимизация энергосистемы адаптация
Truy cập trực tuyến:	https://doi.org/10.1109/TIA.2022.3174190
Định dạng:	Điện tử Chương của sách
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668135

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