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Modeling, design and simulation of a low cost supervisory controller for Ramea hybrid power system

机译:Ramea混合动力系统低成本监控装置的建模,设计与仿真

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摘要

Conventional energy sources, such as coal and fossil oil, are considered the main source of air pollution, and it is desired to use clean energies sources such as wind, hydro, solar, and geothermal. One problem of using renewable energies is the fluctuation problem from the sources, therefore proper modeling and controlling for renewable systems is very challenging.udIn this research, a low order dynamic model is developed for the Ramea hybrid power system. A detailed literature review showed that a number of researchers have used a similar approach to model and control hybrid power systems. System components are modeled in MATLAB/Simulink and represented by transfer functions and nonlinear functions for simplification purpose. Five case studies are developed based on the Matlab Simulink models. The system was simulated for five case studies, and system performance as well as transient response was analyzed. The control algorithm is based on the priority of the equipment in the system and its objective is to maximize use of renewable energy. The proposed control algorithm is deployed on a microcontroller PIC18F4550, and system outputs are represented by LEDs. Some system data is displayed on a GLCD and recorded on a microSDcard. Data can also be plotted and extracted to an excel file by running a simple MATLAB code.
机译:常规能源,例如煤和化石油,被认为是空气污染的主要来源,并且期望使用清洁能源,例如风能,水能,太阳能和地热能。使用可再生能源的一个问题是源头的波动问题,因此对可再生系统进行正确的建模和控制非常具有挑战性。 ud在这项研究中,为Ramea混合动力系统开发了低阶动态模型。详细的文献综述表明,许多研究人员已使用类似的方法对混合动力系统进行建模和控制。系统组件在MATLAB / Simulink中建模,并为简化起见以传递函数和非线性函数表示。基于Matlab Simulink模型开发了五个案例研究。针对五个案例研究对该系统进行了仿真,并分析了系统性能以及瞬态响应。控制算法基于系统中设备的优先级,其目的是最大程度地利用可再生能源。所提出的控制算法部署在单片机PIC18F4550上,系统输出由LED表示。一些系统数据显示在GLCD上并记录在microSD卡上。通过运行简单的MATLAB代码,还可以绘制数据并将其提取到excel文件中。

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    Zhang Jiuchuan;

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  • 年度 2014
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