Evaluation and improvement of reliability indices of electrical power distribution system
Evaluation and improvement of reliability indices of electrical power distribution system
复制标题
配电系统可靠性指标评价与改进
DOI：
10.1109/npsc.2016.7858838
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
V. Sankar
中科院分区：
文献类型：
--
作者：
P. Sekhar;R. Deshpande;V. Sankar
配电系统的可靠性被定义为向用户提供不间断服务的能力。配电系统可靠性指标可以用多种方式表示，以反映单个用户、馈线和与变电站相关的面向系统的指标的可靠性。配电系统可靠性评估通常采用历史评估和预测评估两种方法。配电系统是整个供电系统的重要组成部分。这是因为配电系统提供了公用事业传输系统与其客户之间的最终联系。据报道，超过80%的客户中断是由于配电系统故障造成的。配电系统加强和配电自动化系统越来越多地在电力公司的重组加速电力发展和改革计划（R-APDRP）/综合电力发展计划（IPDS）下实施，以减少配电网络的操作问题。系统强化和配电自动化（DA）系统不仅提供系统范围的状态和健康监测，还有助于提高供电质量和可靠性所需的协调控制。在印度，公用事业公司计算可靠性指数，并提交给监管委员会和中央电力局。根据IEEE 1366-2012，数据库无法计算所有可靠性指标。本文尝试计算系统平均中断频率指数（SAIFI）、系统平均中断持续时间指数（SAIDI）、用户平均中断频率指数（CAIFI）、用户平均中断持续时间指数（CAIDI）、平均不供电电量（ENS）、平均不供电电量（AENS）等可靠性指标。
Reliability of a power distribution system is defined as the ability to deliver uninterrupted service to customer. Distribution system reliability indices can be presented in many ways to reflect the reliability of individual customers, feeders and system oriented indices related to substation. Two approaches to reliability evaluation of distribution systems are normally used; namely, historical assessment and predictive assessment. The distribution system is an important part of the total electrical supply system. This is due to the fact that the distribution system provides the final link between a utility's transmission system and its customers. It has been reported that more than eighty per cent of all customer interruptions occur due to failures in the distribution system. Distribution System Strengthening and Distribution Automation (DA) system are being increasingly implemented under Restructured Accelerated Power Development and Reforms Programme (R-APDRP)/Integrated Power Development Scheme (IPDS) by the electric utilities to reduce the operational problems of distribution networks. System strengthening and the Distribution Automation (DA) system not only provides system wide status and health monitoring but also helps in coordinated controls required to enhance quality and reliability of the supply. In India, the Utilities calculate Reliability Index and the same thing submitted to Regulatory commission and Central Electricity Authority. The data base is not available to calculate all the Reliability indices as per IEEE 1366-2012. An attempt has been made in this paper to calculate Reliability indices which includes, System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), Customer Average Interruption Frequency Index (CAIFI), Customer Average Interruption Duration Index (CAIDI), Energy Not Supplied (ENS), Average Energy Not Supplied (AENS), etc.