Recognition and simulation of electromagnetic transients in power systems of Southern Vietnam

Huu-Phuc Nguyen, N. Nguyen, Huy Ann Quyen
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引用次数: 1

Abstract

This paper presents a research of electromagnetic transients in power systems based on the three issues: identification of voltage transient disturbances, analysis of power system transient, and modeling of distributed-parameter transmission lines. The first issue includes (a) recognizing the presence of power quality disturbances in supply voltage and (b) classifying any existing deviations from a particular type. Various techniques using artificial neural networks and Fuzzy associative memories, Neuro-Fuzzy systems based on Wavelet transform are used to identify power quality disturbances. The second issue is to analyze the power system transients using the wavelets technique as opposed to the trapezoidal rule method. A novel developed algorithm has the following properties: 1) it is time-domain working, so that circuit nonlinearity can be handled and numerical accuracy can be well controlled, unlike the frequency-domain method where numerical error may become uncontrollable during the inverse Laplace transform; 2) the wavelets property of localization in both time and frequency domains makes a uniform approximation possible, which is generally not achieved in time-stepping methods. The last issue is to model a transmission line based on passive network synthesis for representing the nonlinear frequency dependence of the characteristic impedance matrix function. The synthesized passive network of interconnected RLC elements preserves at any frequency the inherent stability property of this matrix function for any power transmission circuits. The network parameters are identified using the constrained optimization by which the synthesized network response is matched with the actual response derived from the characteristic impedance matrix. With the trapezoidal rule of numerical integration applied to individual elements of the synthesized network, discrete time-domain recursive sequences are derived, and then included in the overall transmission circuit model. The network synthesis procedure developed is applied to a representative transmission line, and comparative studies indicate high accuracy being achieved. The research is then applied and validated to a southern of Vietnam power system in study.
越南南部电力系统电磁瞬变的识别与仿真
本文从电压暂态扰动识别、电力系统暂态分析和分布参数输电线路建模三个方面对电力系统中的电磁暂态进行了研究。第一个问题包括(a)识别电源电压中存在的电能质量干扰和(b)对任何偏离特定类型的现有偏差进行分类。利用人工神经网络、模糊联想记忆、基于小波变换的神经模糊系统等多种技术来识别电能质量扰动。第二个问题是用小波技术来分析电力系统的暂态,而不是用梯形规则方法。本文提出的新算法具有以下特点:1)它是时域工作的,可以很好地处理电路非线性,并且可以很好地控制数值精度,而不像频域方法那样在拉普拉斯逆变换过程中数值误差不可控;2)小波在时域和频域的局部化特性使得均匀逼近成为可能,这在时间步进方法中通常无法实现。最后一个问题是基于无源网络综合的传输线模型,以表示特征阻抗矩阵函数的非线性频率依赖性。在任何频率下,互连RLC元件的合成无源网络都保持了该矩阵函数对任何输电电路固有的稳定性。采用约束优化方法对网络参数进行辨识,使网络的综合响应与由特征阻抗矩阵导出的实际响应相匹配。将数值积分的梯形法则应用于合成网络的各个单元,推导出离散的时域递推序列,并将其纳入整个传输电路模型。将所开发的网络综合程序应用于具有代表性的传输线,对比研究表明,所开发的网络综合程序具有较高的精度。并将研究结果应用到越南南部某电力系统中进行验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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