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Intelligent systems for distribution operational planning and alarm processing in power systems.

机译：用于电力系统配电操作计划和警报处理的智能系统。

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摘要

In this dissertation, a knowledge-based system (KBS) which provides an integrated operational planning environment for distribution system operators and planning engineers is proposed. Four functions are incorporated: Remedial control, Protective device coordination, Loss reduction and Service restoration. A real-time KBS development environment is used, which provides a high level user-interface and acceptable processing speed. A systematic software design method is used to optimize the object-oriented data structure. The KBS has been tested with data obtained from Pacific Gas and Electric (PG&E) Company.; A feasibility study on Intelligent Alarm Processing (IAP) in the on-line power system environment is also performed. A generic IAP method is proposed. The IAP is used to identify the power system problems based on the alarms received; the IAP also serves as a front-end of other diagnostic tools. Both the rule-based and model-based approaches have been evaluated for the generic IAP in the Energy Management System (EMS) environment. The rule-based approach is based on heuristic knowledge of the alarms and their possible causes. The knowledge base can be built and tested piece by piece. However, knowledge-based systems are not able to handle the types of alarms for which the knowledge is not available in the knowledge base. On the other hand, the model based approach is based on the physical model of power system devices. Since knowledge can be derived from the operational principles, the model-based approach would be able to handle most types of alarms.; The novel feature of the proposed method is its ability to handle analog alarms in a systematic manner. Existing approaches for IAP handle analog alarms with heuristic knowledge. This dissertation provides a power flow relation model which incorporates the complex power and bus voltage relations at various nodes of the system. The model also includes the cause-effect relations between switching actions and their resultant topological changes. Since the cause-effect relations are explicitly represented in a directed graph, it is possible to search the graph with efficient algorithms to derive an interpretation of the alarms. The developed algorithms utilize various techniques to achieve a high level of efficiency, which is crucial for an on-line application such as IAP. The proposed modeling technique and search algorithms have been tested with data from Puget Sound Power and Light Co. (Abstract shortened by UMI.)
机译：本文提出了一种基于知识的系统（KBS），该系统为配电系统运营商和规划工程师提供了一个集成的运营规划环境。包含四个功能：补救控制，保护设备协调，减少损失和恢复服务。使用了实时KBS开发环境，该环境提供了高级用户界面和可接受的处理速度。一种系统的软件设计方法被用来优化面向对象的数据结构。 KBS已使用从太平洋天然气和电力公司（PG＆E）获得的数据进行了测试。还进行了在线电力系统环境中智能警报处理（IAP）的可行性研究。提出了一种通用的IAP方法。 IAP用于根据收到的警报来识别电力系统问题。 IAP还可以用作其他诊断工具的前端。对于能源管理系统（EMS）环境中的通用IAP，已经评估了基于规则的方法和基于模型的方法。基于规则的方法基于警报及其可能原因的启发式知识。知识库可以逐步构建和测试。但是，基于知识的系统无法处理在知识库中无法获取其知识的警报的类型。另一方面，基于模型的方法基于电力系统设备的物理模型。由于知识可以从操作原理中得出，因此基于模型的方法将能够处理大多数类型的警报。所提出的方法的新颖特征是其以系统的方式处理模拟警报的能力。 IAP的现有方法通过启发式知识来处理模拟警报。本文提供了一种潮流关系模型，该模型结合了系统各个节点的复杂功率和母线电压关系。该模型还包括切换动作及其结果拓扑变化之间的因果关系。由于因果关系在有向图中明确表示，因此可以通过有效的算法搜索该图以得出警报的解释。开发的算法利用各种技术来实现高水平的效率，这对于在线应用程序（如IAP）至关重要。所提出的建模技术和搜索算法已通过Puget Sound Power and Light Co.的数据进行了测试（UMI缩短了摘要）。

著录项

  • 作者

    Tsai, Men-Shen.;

  • 作者单位

    University of Washington.;

  • 授予单位 University of Washington.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 1993
  • 页码 94 p.
  • 总页数 94
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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