Mitigation of DC Components Using Adaptive BP-PID Control in Transformless Three-Phase Grid-Connected Inverters
Autor: | Yufei Dai, Kil To Chong, LiJun Huang, Youliang Lu, Long Bo |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
dc component
Control and Optimization Computer science neural network 020209 energy Energy Engineering and Power Technology PID controller 02 engineering and technology lcsh:Technology adaptive back-propagation Control theory Component (UML) 0202 electrical engineering electronic engineering information engineering Power semiconductor device grid-connected inverter Electrical and Electronic Engineering Engineering (miscellaneous) Renewable Energy Sustainability and the Environment lcsh:T 020208 electrical & electronic engineering Direct current power quality Grid Three-phase Power quality Pulse-width modulation Energy (miscellaneous) DC bias |
Zdroj: | Energies, Vol 11, Iss 8, p 2047 (2018) Energies Volume 11 Issue 8 |
ISSN: | 1996-1073 |
Popis: | Transformerless grid-connected inverters, due to their advantages of high efficiency, small volume and light weight, have been the subject of more research and interest in recent years. Due to the asymmetrical driving signal in pulse width modulation (PWM) caused by time-delay, zero-drift of the current sensors and imparities of the power transistors, output of the grid current contains dc component. As a result, power quality of the grid is degraded. In this paper, a dc (direct current) component suppression scheme with adaptive back-propagation (BP) neural network proportional-integral-differential (PID) control is proposed for dc component minimization. Moreover, sliding-window-double-iteration-method (SWDIM) is utilized for fast dc component extraction. Compared with the conventional method, the proposed scheme shows better performance, and the dc component can be attenuated to be within 0.5% of the rated current. |
Databáze: | OpenAIRE |
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