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Hierarchical algorithms of functional modelling for solution of optimal operation problems in electrical power systems

机译:解决电力系统最佳运行问题的功能建模分层算法

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This paper presents foundations of the optimization method intended for solution of power systems operation problems and based on the principles of functional modeling (FM). This paper also presents several types of hierarchical FM algorithms for economic dispatch in these systems derived from this method. According to the FM method a power system is represented by hierarchical model consisting of systems of equations of lower (subsystem) levels and higher level system of connection equations (SCE), in which only boundary variables of subsystems are present. Solution of optimization problem in accordance with the FM method consists of the following operations: (1) solution of optimization problem for each subsystem (values of boundary variables for subsystems should be determined on the higher level of model); (2) calculation of functional characteristic (FC) of each subsystem, pertaining to state of subsystem on current iteration (these two steps are carried out on the lower level of the model); (3) formation and solution of the higher level system of equations (SCE), which gives values of boundary and supplementary boundary variables on current iteration. The key elements in the general structure of the FM method are FCs of subsystems, which represent them on the higher level of the model as "black boxes". Important advantage of hierarchical FM algorithms is that results obtained with them on each iteration are identical to those of corresponding basic one level algorithms.
机译:本文基于功能建模(FM)原理,提出了用于解决电力系统运行问题的优化方法的基础。本文还介绍了从这种方法派生的这些系统中用于经济调度的几种类型的分层FM算法。根据FM方法,电力系统由层次模型表示,该层次模型由较低(子系统)层级的方程组和较高级别的连接方程组(SCE)的系统组成,其中仅存在子系统的边界变量。根据FM方法的最优化问题的解决方案包括以下操作:(1)每个子系统的最优化问题的解决方案(应在更高级别的模型上确定子系统的边界变量的值); (2)计算每个子系统的功能特性(FC),涉及当前迭代中子系统的状态(这两个步骤在模型的较低层执行); (3)高阶方程组(SCE)的形成和求解,它给出了当前迭代中的边界和补充边界变量的值。 FM方法的一般结构中的关键元素是子系统的FC,这些FC在模型的较高级别上表示为“黑匣子”。分层FM算法的重要优势在于,每次迭代所获得的结果与相应的基本一级算法的结果相同。

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