Features that influence composite power system reliability worth assessment
Features that influence composite power system reliability worth assessment
复制标题
影响复合电力系统可靠性价值评估的特征
DOI：
10.1109/59.627854
复制
发表时间：
1997
影响因子：
6.6
通讯作者：
R. Billinton
中科院分区：
文献类型：
--
作者：
A. Jonnavithula;R. Billinton
利用用户中断成本进行可靠性价值评估是电力系统规划和运行中的一个重要内容。本文讨论了影响发输电系统可靠性的两个值得评估的特点。其中一个特征是将时间变化纳入中断成本中。本文阐述了住宅、农业、工业、商业和大型用户部门中断成本的时间变化对系统预计年中断成本的影响。本文考虑的另一个方面是用概率分布的方法来表示中断代价模型。传统的客户损害函数方法利用平均客户成本，而概率分布方法则认识到客户故障数据的分散性。本文将这两种费用评估方法应用于可靠性价值评估。所有的研究都采用了包含时变载荷的序贯蒙特卡罗方法。在两个复合测试系统上进行的案例研究表明，纳入工业部门的时变中断成本可显著降低预期的停电成本。使用客户损害函数方法(CDF)和概率分布方法获得的可靠性价值的比较表明，使用CDF方法可能会将可靠性价值低估三到四倍。
Reliability worth assessment using customer interruption costs is an important element in electric power system planning and operation. This paper deals with two features that affect the composite generation-transmission system reliability worth assessment. One feature is the incorporation of temporal variations in the cost of interruption. This paper illustrates the effect on the expected annual system outage cost of temporal variation in the interruption costs for the residential, agricultural, industrial, commercial and large user sectors. The other aspect considered in this paper is using a probability distribution approach to represent the cost of interruption model. The conventional customer damage function approach utilizes average customer costs while the probability distribution approach recognizes the dispersed nature of the customer outage data. These two methods of cost evaluation are applied to reliability worth assessment in this paper. A sequential Monte Carlo approach incorporating time varying loads is used to conduct all the studies. Case studies performed on two composite test systems show that incorporating time varying costs of interruption for the industrial sector resulted in a significant reduction in the expected outage cost. A comparison of the reliability worth obtained using the customer damage function method (CDF) with the probability distribution approach suggests that using the CDF method may significantly undervalue the reliability worth by a factor of three to four.