Multi-source energy mixing by time rate multiple PWM for microgrids

Cemal Keleş, A. Kaygusuz, B. Alagoz
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引用次数: 6

Abstract

Smart grid applications aims to employ many optimization and artificial intelligence methods for optimal energy management. Results of these algorithms need to be implemented by power systems in practice. This study presents Time Rate Multiple Pulse Width Modulation (TRM-PWM) methods for multi-source energy mixing for DC microgrids, which is integrating several renewable energy resources. In the paper, we implement TRM-PWM multi-source energy mixer component for integration of energy flow coming from solar and wind energy systems, battery system and grid in MATLAB simulink. Simulation results show that proposed energy mixer component can adjust rate of energy mixing from different sources. By using this component, optimal energy mixing, which can be adjusted by optimization and artificial intelligence methods, can be realized in smart grid applications.
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基于时间速率多PWM的微电网多源能量混合
智能电网的应用旨在采用许多优化和人工智能方法来实现最优的能源管理。这些算法的结果需要在实际的电力系统中实现。针对多种可再生能源集成的直流微电网,提出了时间速率多脉宽调制(TRM-PWM)的多源混能方法。本文在MATLAB simulink中实现了TRM-PWM多源能量混合器组件,用于集成太阳能、风能系统、电池系统和电网的能量流。仿真结果表明,所提出的能量混合组件可以调节不同来源的能量混合速率。利用该组件,可以在智能电网应用中实现可通过优化和人工智能方法调整的最优能量混合。
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