基于线性-定弧长混合校正的连续追踪暂态仿真算法
发布时间:2018-08-17 10:24
【摘要】:延拓参数算法在电力系统连续潮流分析中已获得成功应用,该算法进一步发展为连续参数化轨迹追踪(CPTT)仿真算法,应用于暂态仿真计算中。CPTT方法避免了传统仿真方法由代数奇点引起的数值积分发散问题。但是,CPTT仿真算法中常用的切向预测存在一定缺陷,在故障开始阶段或故障趋于平缓阶段,可能出现预测失败,导致线性校正发散而无法继续。本文提出一种线性-定弧长混合校正技术的CPTT方法,解决了上述预测失败问题;通过合理选择延拓参数,不仅克服定弧长校正可能引发的振荡问题,而且改善了仿真曲线出现"削峰平底"的现象,即轨迹失真问题。本文算法收敛精度等价于一般隐式仿真算法,计算速度优于传统CPTT仿真算法,算例证明了该方法的合理性和工程应用前景。
[Abstract]:The continuation parameter algorithm has been successfully applied in power system continuous power flow analysis. The algorithm is further developed into a continuous parameterized trajectory tracking (CPTT) simulation algorithm. The CPTT method is applied to transient simulation to avoid the numerical integral divergence caused by algebraic singularities. However, there are some defects in the tangential prediction commonly used in CPTT simulation algorithm. At the beginning of the fault or when the fault tends to be flat, the prediction failure may occur, which leads to the divergence of linear correction and the failure to continue. In this paper, a new CPTT method for linear and constant arc length correction is proposed, which solves the problem of prediction failure, and not only overcomes the oscillation problem caused by constant arc length correction, but also resolves the oscillation problem caused by reasonable selection of continuation parameters. Moreover, the phenomenon of "cutting peak and flat bottom" in simulation curve is improved, that is, trajectory distortion. The convergence accuracy of the proposed algorithm is equivalent to that of the general implicit simulation algorithm, and the computational speed is better than that of the traditional CPTT simulation algorithm. An example shows the rationality of the method and the prospect of its engineering application.
【作者单位】: 天津大学智能电网教育部重点实验室;
【基金】:国家高技术研究发展计划(863计划)(2015AA050403) 国家自然科学基金(51277128,51407125) 山东省青岛市创新领军人才项目(15-10-3-15-(43)-zch)资助
【分类号】:TM743
本文编号:2187307
[Abstract]:The continuation parameter algorithm has been successfully applied in power system continuous power flow analysis. The algorithm is further developed into a continuous parameterized trajectory tracking (CPTT) simulation algorithm. The CPTT method is applied to transient simulation to avoid the numerical integral divergence caused by algebraic singularities. However, there are some defects in the tangential prediction commonly used in CPTT simulation algorithm. At the beginning of the fault or when the fault tends to be flat, the prediction failure may occur, which leads to the divergence of linear correction and the failure to continue. In this paper, a new CPTT method for linear and constant arc length correction is proposed, which solves the problem of prediction failure, and not only overcomes the oscillation problem caused by constant arc length correction, but also resolves the oscillation problem caused by reasonable selection of continuation parameters. Moreover, the phenomenon of "cutting peak and flat bottom" in simulation curve is improved, that is, trajectory distortion. The convergence accuracy of the proposed algorithm is equivalent to that of the general implicit simulation algorithm, and the computational speed is better than that of the traditional CPTT simulation algorithm. An example shows the rationality of the method and the prospect of its engineering application.
【作者单位】: 天津大学智能电网教育部重点实验室;
【基金】:国家高技术研究发展计划(863计划)(2015AA050403) 国家自然科学基金(51277128,51407125) 山东省青岛市创新领军人才项目(15-10-3-15-(43)-zch)资助
【分类号】:TM743
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