Intelligent system for automatic performance evaluation of distribution system operators

The performance evaluation of distribution network operators is essential for the electrical utilities to know how prepared the operators are to execute their operation standards and rules, searching for minimizing the time of power outage, after some contingency. The performance of operators can be evaluated by the impact of their actions on several technical and economic indicators of the distribution system. This issue is a complex problem, whose solution involves necessarily some expertise and a multi-criteria evaluation. This paper presents a Tutorial Expert System (TES) for performance evaluation of electrical distribution network operators after a given contingency in the electrical network. The proposed TES guides the evaluation process, taking into account technical, economic and personal criteria, aiding the quantification of these criteria. A case study based on real data demonstrates the applicability of the performance evaluation procedure of distribution network operators.

[1]  Germano Lambert-Torres,et al.  Knowledge engineering tool for training power-substation operators , 1996 .

[2]  Raimundo C. G. Teive,et al.  A multicriteria approach for performance evaluation of distribution system operators , 2016, 2016 IEEE PES Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA).

[3]  Min Xie,et al.  Study on human factor risk quantification and evaluation model in power grid dispatching risk assessment , 2016, 2016 China International Conference on Electricity Distribution (CICED).

[4]  R.P. Gupta,et al.  Distribution automation simulator , 2004, 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings.

[5]  Bruce E. Barrett,et al.  Decision quality using ranked attribute weights , 1996 .

[6]  F. H. Barron,et al.  SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement , 1994 .

[7]  Zita A. Vale,et al.  Training Control Centers' Operators in Incident Diagnosis and Power Restoration Using Intelligent Tutoring Systems , 2009, IEEE Transactions on Learning Technologies.

[8]  Jean Belanger,et al.  A real-time dynamic simulation tool for transmission and distribution power systems , 2013, 2013 IEEE Power & Energy Society General Meeting.

[9]  A. Carnino,et al.  Classification system for reporting events involving human malfunctions , 1981 .

[10]  Wu Dong,et al.  The training simulation system for substation based on network and expert system , 2000 .