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Precise measurement of power system frequency and phasor using SDFT and comparison with DFT based approach

机译:使用SDFT进行电力系统频率和相量的精确测量,并与基于DFT的方法进行比较

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Power system condition is reflected by frequency and phasor more accurately. State of power system is shown by phasor while real time balance between generation and load is reflected by frequency. Frequency undergoes variation from the standard value when there is a difference between generation of electrical power and load. Some power system protection and control applications, e.g., frequency relay for load shedding, load-frequency controller requires precise and fast estimation of the frequency. So frequency and phasor regarded as indices for the operating power system in practice. To gain efficient and safe operation of power system caused due to any significant variation from nominal frequency forces protective devices to take corrective actions. As phasor is important parameter in the frequency monitoring and control of power systems and it is not constant at off-nominal frequencies, its measurement at every instant in power system network with greater accuracy and fast speed is necessary. Discrete Fourier Transforms (DFT) is one of the most important tools in Digital Signal Processing (DSP). It can calculate signal's frequency spectrum, it can find system's frequency response and it allows systems to be analyzed in the frequency domain. Conventional DFT method produces errors in calculating phasor and frequency if frequency varies from standard value. Smart Discrete Fourier Transforms (SDFT) has all merits of DFT such as recursive computation, ease of implementation and real time suitability. SDFT also takes care of deviations in frequency, harmonics and noise. This paper presents a SDFT based algorithm for measuring frequency, amplitude and phase angle of an ac signal and its comparison with conventional DFT method. Different signals in the presence of noise and harmonics are tested with the presented algorithm.
机译:电力系统状况可以更准确地通过频率和相量反映出来。电力系统的状态由相量表示,而发电和负荷之间的实时平衡则由频率反映。当电功率的产生和负载之间存在差异时,频率会偏离标准值。某些电力系统保护和控制应用,例如用于减载的频率继电器,负载频率控制器,需要精确,快速地估算频率。因此,频率和相量在实践中被视为操作系统的指标。为了获得由于额定频率的任何显着变化而导致的电力系统的高效和安全运行,必须强制保护装置采取纠正措施。由于相量是电力系统频率监视和控制中的重要参数,并且在非标称频率下并不是恒定的,因此有必要在电力系统网络中的各个时刻进行更高精度和更快速度的测量。离散傅立叶变换(DFT)是数字信号处理(DSP)中最重要的工具之一。它可以计算信号的频谱,可以找到系统的频率响应,并可以在频域中对系统进行分析。如果频率与标准值不同,传统的DFT方法会在计算相量和频率时产生误差。智能离散傅里叶变换(SDFT)具有DFT的所有优点,例如递归计算,易于实现和实时适用性。 SDFT还负责频率,谐波和噪声的偏差。本文提出了一种基于SDFT的交流信号频率,幅度和相角测量算法,并将其与常规DFT方法进行了比较。使用提出的算法测试存在噪声和谐波的不同信号。

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