【作者】 童国力；

【导师】 韩富春；

【作者基本信息】 太原理工大学 ， 电力系统及其自动化， 2004， 硕士

【摘要】 电力系统数字仿真是计算机科学、计算数学、控制理论和电力专业应用技术等综合的学科，其实质是通过数学模型来研究系统在规定时间内的工作特征，即用模型来研究系统。电力系统仿真属于连续系统仿真(时间域的动态过程仿真)，所以数学模型通常包括元件的动态描述和电路的数学描述，也就是说数学模型主要由微分方程与网络方程组成。建模的任务除了推导出精细的数学模型外，还要根据仿真目的选定各元件模型的形式、规模以及相互间的联系。建立模型是为仿真服务的，模型可以考虑得很精细，但在相应的仿真应用中，计算量也相应提高，有时甚至很难实现，所以根据仿真目的进行建模假设和模型简化是一项很重要的工作。 本文对电力系统仿真模型的模块化研究与开发主要 太原理工大学硕士学位论文包括建立数学模型、实现数学模型的算法化、建立模块化仿真模型和根据仿真目的进行仿真试验或培训等。 建立电力系统数学模型的任务是根据系统仿真目的和系统原型与模型的数学相似原则来构造模型的数学描述。本文主要研究的数学模型包括，发电机系统、原动机系统、系统网络与故障、静态和动态负荷、潮流计算。在建立数学模型的过程中，充分考虑到数学模型的适用与简化条件，确定数学模型的规模;对于由若干子系统组成的系统，尽量保证整个系统数学模型的统一性，例如系统的统一坐标系;对系统模型有明确逻辑关系的数学描述，做到灵活性与扩充性的统一;对各个数学模型的建立有利于计算机算法的实现。 实现数学模型的算法化是根据仿真目的选择相应的数学模型和计算机语言，从而实现模型的算法。在算法实现过程中，选择数值稳定性高、误差可以控制、计算工作量少和尽可能节省内存空间的算法。 建立模块化仿真模型时，本文通过模型算法的模块化平台一仿真支撑系统BLINK，把算法进行单独的模块 太原理工大学硕士学位论文化处理，通过算法来构造仿真模块，实现模块的搭建和组合。 本文通过建立电力系统数学模型和模型算法，运用BLINK仿真支撑系统进行模型算法的模块化处理方法，可以提高仿真模型的开发速度，可为模型在仿真的进一步应用打下良好的基础。最后，本文运用所建立的电力系统仿真模型，对一个实际的电力系统进行了动态仿真，通过仿真结果也可看出对系统模型的模块化处理可以加快模型仿真的速度和效率，这也将成为大规模电力系统仿真的实现途径。更多还原

【Abstract】 The figure simulation of power system is a complex subject of computer science and computational mathematics and control theory and power system application technology. Its essential is that it study work characteristic of system in a definite-time by mathematical model. In other words, it studies system by the models. The figure simulation of power system belong to a continuous system simulation, so, mathematical models generally include a dynamic description of elements and a mathematic description of circuits. Namely, it comprises differential equation and network equations. Base on simulation purposes, in addition to deducing a carefulmathematical model, the tasks of modeling involve selection styles and scales and interrelations of all kinds of elements. The aim of establishing the models are serves simulation. The models can consider extra fine, but in relevant applications of simulation, corresponding computational complexity enhance also. Sometimes, the models are very difficult to realize. So, it is a very important work for modeling assumption and the models reduction.The text’s main works involve to establishing mathematical models and come true models’ algorithmization and found blocking simulation models and simulation application.The tasks of establish mathematical models of power system bases on similarity principle to construct mathematic description of the models. Main mathematical models include generator system and prime mover system and network and failure and load of static and dynamic andtidal current calculation. In process of establishing the models, we need think over the models condition of application and reduction. To the system composing subsystem, assure hole hog mathematical models, for example, unified coordinate system, etc. System models have explicit logical relation to mathematic description. The models’ constitution should be propitious to realize computer algorithm. Mathematical models algorithmization can realize easily through choosing corresponding models and computer language. In the course of algorithmization, we should select arithmetic with high numerical stability and controlling error and computational effort little and saving memory space.The text recurs to blocking platform, i.e., power system simulation support system BLINK. BLINK system is capable of treating separate blocking to arithmetic. It can realize models’ build and combination. And recurring to BLINK system can carry through blocking problem. Thelast dynamic simulation’s example shows effectiveness of blocking modeling. In future, the blocking modeling will can be an effective implement and method for large-scale power system simulation.更多还原