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: Texas A&M Engineering Experiment Station
• 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
• 起止时间: 1999-09-01 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9903747&HistoricalAwards=false
• 关键词: Concepts; Algorithms; Power; Network; Reliability

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.

本研究的目的是研究和开发电力网络可靠性分析的概念和方法。 重点是系统和节点的可靠性。 术语“节点”和“区域”在本提案中可互换使用，以表示单个主要负载或发电注入点或集合。这样的点。 在之前的 NSF 支持下进行的研究得出了一些见解。 拟议的研究基于这些见解以及新的调查概念。 以下是本次研究的主要内容。多节点电力网络的几个特性已经被确定。 多节点电力系统的这些特性将得到严格证明，并用于改进现有算法以及开发更有效的电力系统可靠性分析方法。 根据这些性质，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有效的方法的方法。已经提出了三个概念来开发更有效的多节点可靠性分析方法。 这些概念是根据我们在之前的调查中获得的见解而确定的。 我们将详细探讨这些概念，并开发更多技术。 通常有一个值得研究的领域，并且人们希望有效地获得该领域的可靠性。 提出了一种无需分析整个系统即可确定感兴趣节点可靠性的方法。 该方法将被探索、实施和测试。 自组织映射 (SOM) 提供压缩数据和提取关系的功能。 SOM 概念将被研究用于多节点可靠性评估。 看来，SOM 和蒙特卡罗仿真的结合可能会产生一种分析电力网络可靠性的新方法。 电力系统是有能力的网络。 还将研究开发的技术是否应用于其他容量网络，例如电信、气流和水流网络。