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Well-being framework for composite generation and transmission system reliability evaluation

机译:复合发电和输电系统可靠性评估的福祉框架

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The basic objective of generation and transmission systems is to serve every major load point in the system as reliably and economically as possible. The probability of failure that is related to the load characteristics is important in the reliability study of generation and transmission systems. This paper describes a probabilistic method, designated as system well-being analysis, for evaluating the effect of peak load, load factor, load curtailment philosophy and percentage load curtailed. Contingency level selection, a dominant factor that influences the accuracy and efficiency of probability study is also considered. This approach incorporates the conventional risk index as well as the accepted deterministic criteria identified as being in the healthy and marginal states. By including deterministic criteria in conjunction with probabilistic methods, well-being indices based on these criteria can be used by the system operator to alleviate the difficulties encountered in interpreting a single risk index. A technique for calculating the well-being indices in generation and transmission systems, together with the effects of individual load attributes. Is illustrated by application to an educational test system designated as the RBTS.
机译:发电和输电系统的基本目标是尽可能可靠,经济地为系统中的每个主要负荷点提供服务。与负荷特性相关的故障概率在发电和输电系统的可靠性研究中很重要。本文介绍了一种概率方法,称为系统状态分析,用于评估峰值负荷,负荷因子,负荷削减原理和负荷削减百分比的影响。权变级别选择是影响概率研究的准确性和效率的主要因素,也应考虑在内。这种方法结合了常规风险指数以及公认的处于健康和边缘状态的确定性标准。通过将确定性标准与概率方法结合在一起,系统操作员可以使用基于这些标准的幸福指数来缓解在解释单个风险指数时遇到的困难。一种用于计算发电和输电系统中的幸福指数以及各个负载属性的影响的技术。通过应用于指定为RBTS的教育测试系统进行说明。

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