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ALGORITHMS OF FUNCTIONAL (CYBERNETIC) MODELINGFOR SOLUTION OF POWER SYSTEMS PROBLEMS

机译:用于电力系统问题解决方案的功能性(网络有网络)的算法

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In this paper algorithms for solution of power flow and state estimation problems based on the method of functional modeling (FM) are presented. An outline of the FM method is given in the first part of the paper. According to the FM method a power system is represented by hierarchical model consisting of systems of equations of lower (subsystem) level and system of equations of higher level in which only boundary variables of subsystems are present. The key element in the FM method is the notion of functional characteristic (FM). These characteristics represent subsystems on the higher level of model as black boxes, in which all internal constraints (equalities and inequalities) are observed. The simplest algorithm for obtaining a linear FC of subsystem from a system of equation is elimination of internal variables. Important advantage of the hierarchical FM algorithms is that results obtained by them on each iteration are exactly the same as results which can be obtained by basic one level algorithms, from which the FM algorithms are derived.
机译:在本文中,介绍了基于功能建模(FM)的电流和状态估计问题的扫描算法。 FM方法的概要在纸张的第一部分给出。根据FM方法,功率系统由分层模型表示,由较低(子系统)级别的方程系统和更高级别的方程系统,其中仅存在子系统的边界变量。 FM方法中的关键元素是功能特性(FM)的概念。这些特征代表了较高级别的模型作为黑匣子的子系统,其中观察到所有内部约束(平等和不平等)。从方程系统获取子系统的线性FC的最简单算法消除了内部变量。分层FM算法的重要优点是通过它们在每个迭代中获得的结果与基本一个级别算法可以获得的结果完全相同,从中导出FM算法。

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