基于MSP430F5438的电能质量分析仪设计

发布时间：2018-09-04 18:41

【摘要】：随着电网中非线性负荷的大量涌入及新能源的广泛使用，电能的污染日益严重。因此，对电能质量问题进行必要的监控和分析，进而改善电网的电能质量显得尤为必要。为应对层出不穷的电能质量问题，实现对电能质量的实时监测与分析，本文以TI公司生产的超低功耗芯片MSP430F5438作为管理核心，设计一款基于ADC+DSP+MCU的电能质量分析仪。该分析仪除了能准确、快速测量基本电参数外，还能实时监测电网的电能质量事件，并将基本电参数和事件数据快速的存储和显示。该设计具备程序移植性强、低功耗、测试精度高、抗干扰能力强、性能稳定、人机交互好等优点，具有广阔的市场前景和应用价值。本文设计分由五部分组成：第1章为绪论，简要介绍项目的研究背景和研究意义、电能质量的概念及相关的国家标准、电能质量检测技术的研究现状、发展趋势和项目的来源；第2章主要介绍国标规定的各个电能质量指标的实现方法，详细介绍基于莱夫-文森特窗多谱线插值FFT的谐波分析算法；第3章主要介绍电能质量分析仪的设计要求和硬件设计思路，分别阐述各模块的设计：复位及掉电检测模块、数据采集与处理模块、人机交互模块、数据存储模块、GPS时钟同步模块和RS-485通信模块；第4章简要介绍电能质量分析仪的软件开发环境、模块化设计原则、电能质量分析仪的软件主程序，并分别介绍其中的数据采集和处理模块、人机交互模块、MCU与DSP的双向通信模块、数据存储模块、GPS时钟同步模块和RS-485通信模块，并着重介绍系统的安全可靠性设计；第5章主要介绍电能质量分析仪的校准方法，以电压偏差的校准为例介绍其校准步骤，并对电能质量分析仪电能质量参数的测量准确度进行检验，最后进行误差分析。测试结果和检测情况表明，本文设计的电能质量分析仪的电能质量参数测量误差满足GB/T19862—2005《电能质量监测设备通用要求》，，达到电能质量分析仪A类标准，同时人机交互界面友好，运行安全、稳定、可靠。最后总结本文的创新点及不足，指出下阶段的研究工作和展望。
[Abstract]:With the influx of nonlinear loads and the widespread use of new energy sources, the pollution of electric energy is becoming more and more serious. Therefore, it is necessary to monitor and analyze the power quality problem and improve the power quality. In order to deal with the endless power quality problems and realize the real-time monitoring and analysis of the power quality, this paper designs a power quality analyzer based on ADC DSP MCU with the ultra-low power chip MSP430F5438 produced by TI as the management core. In addition to accurate and rapid measurement of basic electrical parameters, the analyzer can also monitor power quality events in real time, and store and display the basic electrical parameters and event data quickly. The design has the advantages of strong portability, low power consumption, high testing precision, strong anti-interference ability, stable performance and good human-computer interaction. It has broad market prospect and application value. The design of this paper consists of five parts: the first chapter is the introduction, briefly introduces the research background and significance of the project, the concept of power quality and related national standards, the research status of power quality detection technology, the development trend and the source of the project; Chapter 2 mainly introduces the realization method of each power quality index stipulated by national standard, and introduces the harmonic analysis algorithm based on Lev-Vincent window multi-line interpolation FFT in detail. Chapter 3 mainly introduces the design requirements and hardware design ideas of the power quality analyzer, and expounds the design of each module: reset and power failure detection module, data acquisition and processing module, man-machine interaction module, respectively. Chapter 4 briefly introduces the software development environment of power quality analyzer, the principle of modular design, the software main program of power quality analyzer, The data acquisition and processing module, the man-machine interaction module, the bidirectional communication module between DSP and man-machine interaction module, the data storage module, the RS-485 clock synchronization module and the RS-485 communication module are introduced respectively. The security and reliability design of the system is emphasized. Chapter 5 mainly introduces the calibration method of power quality analyzer, taking the calibration of voltage deviation as an example, introduces the calibration steps, and tests the measuring accuracy of power quality parameters of power quality analyzer. Finally, the error analysis is carried out. The test results and test results show that the power quality parameter measurement error of the power quality analyzer designed in this paper meets the general requirements of the GB/T19862-2005 power quality monitoring equipment and meets the class A standard of the power quality analyzer. At the same time, the man-machine interface is friendly, safe, stable and reliable. Finally, this paper summarizes the innovation and shortcomings, pointing out the next stage of research work and prospects.
【学位授予单位】：湖南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM711

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