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Application of knowledge engineering for decomposition and parallel processing in power systems

知识工程分解并行处理在电力系统中的应用

基本信息

批准号：
62420029
负责人：
SEKINE Y.
金额：
$ 21.06万
依托单位：
The University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (A)
财政年份：
1987
资助国家：
日本
起止时间：
1987 至 1989
项目状态：
已结题

项目摘要

As a result of rapid growth and interconnection of electric power systems, various analysis related to them have become costly and time consuming processes as well as the fault tolerance capacity of the system has been reduced resulting a higher risk of total blackout. One way to over come this problem is employment of knowledge engineering based autonomous decentralized type control scheme which requires efficient decomposition of the system and parallel computation within each subsystem.Keeping the autonomous decentralized control as the main objective, research was carried out in various directions. They can be divided into following three topics mainly. (1) Non-uniform decomposition of power systems for parallel processing: This work developed a method which is different from the existing methods which are mainly based on uniform decomposition. But this method is proven to be more efficient than the existing methods. (2) Building an expert system using object oriented knowledge representation to restore power systems: This work developed a method to restore power systems by changing over transmission lines when they are over loaded. Object oriented knowledge representation makes it possible to represent power systems in a very natural way, to process data in parallel and to increase software productivity. (3) Identification of coherent machines and grouping them to construct equivalents: An efficient method which is based on modal analysis, to identify coherent machine groups in power systems was developed. This enables to construct a simplified model for the external part of a particular sub system. Hence reducing the computational time and memory requirement for various analysis related to each sub system.

由于电力系统的快速增长和互联，与它们相关的各种分析已经成为昂贵和耗时的过程，并且系统的容错能力已经降低，从而导致更高的全面停电风险。解决这一问题的方法之一是采用基于知识工程的自治分散型控制方案，该方案要求系统的有效分解和每个子系统内的并行计算。它们主要可以分为以下三个主题。(1)电力系统非均匀分解的并行处理：本工作开发了一种方法，这是不同于现有的方法，主要是基于均匀分解。但这种方法被证明是更有效的比现有的方法。(2)建立一个专家系统，使用面向对象的知识表示，以恢复电力系统：这项工作开发了一种方法来恢复电力系统的输电线路时，他们是过载。面向对象的知识表示使得以一种非常自然的方式表示电力系统、并行处理数据和提高软件生产率成为可能。(3)相干机组的识别和分组构造等值：提出了一种基于模态分析的电力系统相干机组识别方法。这使得能够为特定子系统的外部部分构建简化模型。从而减少了与每个子系统相关的各种分析的计算时间和内存需求。