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Concepts And Algorithms For Power Network Reliability Evaluation Using Self-Organizing Maps And New Insights Into The Structure Of State Space

Concepts And Algorithms For Power Network Reliability Evaluation Using Self-Organizing Maps And New Insights Into The Structure Of State Space
使用自组织图进行电力网络可靠性评估的概念和算法以及对状态空间结构的新见解
批准号:
9903747
负责人:
Chanan Singh
金额:
$13.52万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1999
资助国家:
美国
项目状态:
已结题
起止时间:
1999-09-01 至 2003-08-31

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中文摘要
翻译
本研究的目的是探讨和发展电网可靠性分析的概念和方法。重点是系统可靠性和节点可靠性。术语节点和区域在此建议中可互换使用,以表示单个主要负载或生成注入点或集合。关于这些点。在以前的国家科学基金会支持下进行的研究已经产生了一些见解。提出的研究是基于这些见解以及新的研究概念。以下是本次调查的重点。已经确定了多节点电网的几个特性。多节点电力系统的这些特性将被严格证明,并用于改进现有的算法,以及开发更有效的电力系统可靠性分析方法。针对这些性质,提出了边界点法的基本思想。我们将对这一理想进行研究,以找到使其成为一种计算效率高的方法。为了开发更有效的多节点可靠性分析方法,提出了三个概念。这些概念是根据我们在之前的调查中获得的见解确定的。我们将详细探讨这些概念,并开发更多的技术。通常有一个感兴趣的调查领域,人们希望有效地获得该领域的可靠性。提出了一种在不分析整个系统的情况下确定感兴趣节点可靠性的方法。这种方法将被探索、实施和测试。自组织映射(SOM)提供压缩数据和提取关系的能力。本文将研究多节点可靠性评估的SOM概念。将SOM与蒙特卡罗仿真相结合,为电网可靠性分析提供了一种新的方法。电力系统是有容网络。开发的技术还将研究应用于其他有能力的网络,如电信、气流和水流网络。
英文摘要
The objective of this research is to investigate and develop concepts and methods for reliability analysis of power networks. The emphasis is both on system and nodal reliability. The terms node and area are used interchangeably in this proposal to represent a single major load or generation injection point or a collection. of such points. The research conducted under the previous NSF support has led to several insights. The proposed research is based on these insights as well as new concepts for investigation. Following will be the major thrusts of this investigation.Several properties of the multi-node power networks have been identified. These properties of the multi-node power systems will be rigorously proven and used to improve the existing algorithms as well as develop more efficient methods of reliability analysis of power systems. The basic idea of boundary point method has been proposed on these properties. This ideal will be investigated to find means to make it a computationally efficient method.Three concepts have been proposed for developing more efficient methods of multi-node reliability analysis. These concepts have been identified based on the insights that we have obtained during our previous investigation . These concepts will be explored in detail and more techniques will be developed. Often there is an area of interest for investigation and one would like to obtain reliability of this areaefficiently. A method is proposed for determining the reliability of a node of interest without analyzing the whole system. This method will be explored, implemented and tested. The self-organizing maps (SOM) provide the capability to compress data and extract relationships. The SOM concept will be investigated for multi-node reliability evaluation. It appears that combination of SOM and Monte Carlo Simulation could result in a new way of analyzing the reliability of power networks. Power systems are capacitated networks. The developed techniques will also be investigated for applications to other capacitated networks such as telecommunication, gas-flow and water-flow networks.
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