A novel predictive control algorithm for autonomous power supply systems

Alexander G. Garganeev, Raef Aboelsaud, A. Ibrahim

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

7 Цитирования (Scopus)

Выдержка

A novel predictive control algorithm is proposed for predicting and regulating the load voltages of a four-leg inverter in an autonomous three-phase four-wire power supply system (APS). The control algorithm is developed to reduce the number of the mathematical operations required for the control system without affecting the control performance. The current information about the APS with its load voltages prediction is processed by using a discrete-time state space model. The simulation results show a good control performance in regulating the load voltages , with fewer mathematical computations, under various load conditions .

Язык оригиналаАнглийский
Название основной публикацииProceedings of 2018 the 4th International Conference on Frontiers of Educational Technologies, ICFET 2018 - Workshop 2018 3rd International Conference on Knowledge Engineering and Applications, ICKEA 2018
ИздательAssociation for Computing Machinery
Страницы170-175
Число страниц6
ISBN (печатное издание)9781450364720
DOI
СостояниеОпубликовано - 25 июн 2018
Событие4th International Conference on Frontiers of Educational Technologies, ICFET 2018, Jointly with its Workshop the 3rd International Conference on Knowledge Engineering and Applications, ICKEA 2018 - Moscow, Российская Федерация
Продолжительность: 25 июн 201827 июн 2018

Конференция

Конференция4th International Conference on Frontiers of Educational Technologies, ICFET 2018, Jointly with its Workshop the 3rd International Conference on Knowledge Engineering and Applications, ICKEA 2018
СтранаРоссийская Федерация
ГородMoscow
Период25.6.1827.6.18

Отпечаток

Electric power systems
Electric potential
Wire
Control systems

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Цитировать

Garganeev, A. G., Aboelsaud, R., & Ibrahim, A. (2018). A novel predictive control algorithm for autonomous power supply systems. В Proceedings of 2018 the 4th International Conference on Frontiers of Educational Technologies, ICFET 2018 - Workshop 2018 3rd International Conference on Knowledge Engineering and Applications, ICKEA 2018 (стр. 170-175). Association for Computing Machinery. https://doi.org/10.1145/3233347.3233384

A novel predictive control algorithm for autonomous power supply systems. / Garganeev, Alexander G.; Aboelsaud, Raef; Ibrahim, A.

Proceedings of 2018 the 4th International Conference on Frontiers of Educational Technologies, ICFET 2018 - Workshop 2018 3rd International Conference on Knowledge Engineering and Applications, ICKEA 2018. Association for Computing Machinery, 2018. стр. 170-175.

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Garganeev, AG, Aboelsaud, R & Ibrahim, A 2018, A novel predictive control algorithm for autonomous power supply systems. в Proceedings of 2018 the 4th International Conference on Frontiers of Educational Technologies, ICFET 2018 - Workshop 2018 3rd International Conference on Knowledge Engineering and Applications, ICKEA 2018. Association for Computing Machinery, стр. 170-175, Moscow, Российская Федерация, 25.6.18. https://doi.org/10.1145/3233347.3233384
Garganeev AG, Aboelsaud R, Ibrahim A. A novel predictive control algorithm for autonomous power supply systems. В Proceedings of 2018 the 4th International Conference on Frontiers of Educational Technologies, ICFET 2018 - Workshop 2018 3rd International Conference on Knowledge Engineering and Applications, ICKEA 2018. Association for Computing Machinery. 2018. стр. 170-175 https://doi.org/10.1145/3233347.3233384
Garganeev, Alexander G. ; Aboelsaud, Raef ; Ibrahim, A. / A novel predictive control algorithm for autonomous power supply systems. Proceedings of 2018 the 4th International Conference on Frontiers of Educational Technologies, ICFET 2018 - Workshop 2018 3rd International Conference on Knowledge Engineering and Applications, ICKEA 2018. Association for Computing Machinery, 2018. стр. 170-175
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