快速分解法潮流计算收敛性研究

发布时间：2018-06-23 14:29

本文选题：病态潮流 + 快速分解法　；参考：《大连海事大学》2017年硕士论文

【摘要】：潮流计算是电力系统分析中的最基本、最核心的计算,是电力系统稳态分析和静态分析、短路计算的基础。在实际电力系统中,电网趋于大规模并网,特别是局部小电网的并入,环境因素限制使得输电走廊受限,电网复杂性增加,病态网络现象随之增加,含小阻抗支路系统的病态潮流普遍存在于实际电网中。目前,使用最广泛的潮流算法是牛顿法和快速分解法,快速分解法对比牛顿法潮流计算具有计算速度快,运行内存小的特点。对于含小阻抗支路系统的病态潮流计算,当小阻抗支路电抗远大于电阻xr时,快速分解法潮流计算本身无病态,当小阻抗支路电抗与电阻相差不大或者xr时,快速分解法潮流计算收敛性变差,甚至不收敛。本文根据快速分解法自身特点,提出两种算法对快速分解法进行改进,使其处理各种类型的小阻抗支路病态网络时均具有较好的收敛性。第1种改进算法是以修正系数修正小阻抗支路的电抗值为基础,提出了修正系数的经验计算公式,使其处理含各种类型小阻抗支路病态网络时均具有较好的收敛性。第2种改进算法是提出利用串联补偿法改变原电抗与电阻相差不大或者xr小阻抗支路的结构,新增加虚拟节点,使原电抗与电阻相差不大或者xr的小阻抗支路变为xr的小阻抗支路和正常支路相结合的结构,彻底消除各种类型小阻抗支路对快速分解法潮流计算收敛性的影响,收敛性与正常电网无差异。通过IEEE14、IEEE30、东北实际电网445节点系统算例分析论证,两种改进算法处理含各种类型小阻抗支路系统时,均具有较好的收敛性。经串联补偿法改进的快速分解法潮流算法具有重要的工程实用价值。
[Abstract]:Power flow calculation is the most basic and core calculation in power system analysis. It is the basis of power system steady-state analysis, static analysis and short-circuit calculation. In the actual power system, the power network tends to be connected on a large scale, especially the local small power grid, and the environmental factors restrict the transmission corridor, increase the complexity of the power network, and increase the phenomenon of pathological network. The sick power flow with small impedance branch system exists in real power system. At present, the most widely used power flow algorithms are Newton method and fast decomposition method. Compared with Newton method, the fast decomposition method has the characteristics of fast calculation speed and small running memory. For the ill-conditioned power flow calculation of the system with small impedance branch, when the reactance of small impedance branch is far greater than the resistance XR, the fast decomposition power flow calculation itself is not sick, and when the small impedance branch reactance and resistance are not different or XR, The convergence of power flow calculation by fast decomposition method is poor or even does not converge. According to the characteristics of the fast decomposition method, this paper proposes two algorithms to improve the fast decomposition method, so that it has good convergence in dealing with various types of ill-conditioned networks with small impedance branches. The first improved algorithm is based on the modified coefficient to modify the reactance of the small impedance branch. The empirical calculation formula of the modified coefficient is presented, which makes it have better convergence in dealing with the pathological network with various types of small impedance branch. The second improved algorithm is to use the series compensation method to change the structure of the original reactance with little difference between the resistance and the resistance or the XR small impedance branch, and to add the virtual node. The small impedance branch of XR is changed into the structure of combining the small impedance branch of XR with the normal branch, and the influence of various types of small impedance branch on the convergence of power flow calculation by fast decomposition method is completely eliminated, so that the difference between the original reactance and the resistance is not different or the small impedance branch of XR becomes the structure of combining the small impedance branch with normal branch. There is no difference between convergence and normal power grid. Through the example of IEEE 14 IEEE30 and 445 node system of Northeast Power Network, it is proved that the two improved algorithms have good convergence when dealing with various types of small impedance branch systems. The power flow algorithm of fast decomposition method improved by series compensation method has important practical value in engineering.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM744

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