A Novel Predictive Control Algorithm For Autonomous Power Supply Systems / A. G. Garganeev, R. S. S. A. Aboelsaud, I. M. Ibrahim Ahmed

Уровень набора: ACM International Conference Proceeding SeriesОсновной Автор-лицо: Garganeev, A. G., specialist in the field of electrical engineering, Professor of Tomsk Polytechnic University, doctor of technical Sciences, 1955-, Alexander GeorgievichАльтернативный автор-лицо: Aboelsaud Raef, S. S. A., specialist in the field of electric power engineering, Research Engineer, Tomsk Polytechnic University, 1987-, Siam Sayed Ahmed;Ibrahim Ahmed, I. M., specialist in the field of electric power engineering, Research Engineer, Tomsk Polytechnic University, 1987-, Ibrahim MohamedКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет, Инженерная школа энергетики, Отделение электроэнергетики и электротехники (ОЭЭ)Язык: английский.Серия: Chapter VII-Power Engineering and EnergyРезюме или реферат: 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?.Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | автономные системы | электропитание Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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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?

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