Title :
Overview of power system operational reliability
Author :
Sun, Yuanzhang ; Cheng, Lin ; Ye, Xiaohui ; He, Jian ; Wang, Peng
Author_Institution :
Electr. Eng. Dept., Tsinghua Univ., Beijing, China
Abstract :
The traditional reliability evaluation assesses the long-term performance of power system but its constant failure rate cannot reflect the time-varying performances in an operational time frame. This paper studies the operational reliability of power system in the real-time operating conditions based on online operation information obtained from the Energy Management System (EMS). A framework of operational reliability evaluation is proposed systematically. The effects of components´ inherence conditions, environment conditions and operating electrical conditions on failure rates are considered in their operational reliability models. To meet the restrictive requirement of real-time evaluation, a special algorithm is presented. The indices for operational reliability are defined as well. The software, Operational Reliability Evaluation Tools (ORET), is developed to implement the above described functions. The work reported in this paper can be used to assess the system risk in an operational timeframe and give warnings when the system reliability is low.
Keywords :
power engineering computing; power system faults; power system reliability; Energy Management System; ORET; Operational Reliability Evaluation Tools; constant failure rate; environment conditions; inherence conditions; online operation information; operating electrical conditions; operational reliability models; operational time frame; power system operational reliability; real-time evaluation; real-time operating conditions; reliability evaluation; system reliability; system risk; time-varying performances; Medical services; Performance evaluation; Power system modeling; Power system planning; Power system protection; Power system relaying; Power system reliability; Real time systems; Sorting; Time varying systems; condition dependent reliabiity model; fast sorting technique; operational reliability; operational reliability evaluation tools; reliability indices;
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5720-5
DOI :
10.1109/PMAPS.2010.5528993