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Approach of Training Working Staff of Power System Operation Mode Based on State Evaluation

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DOI: 10.4236/eng.2013.51B035    3,755 Downloads   4,933 Views   Citations

ABSTRACT

An approach of training working staff of power system operation mode based on state evaluation is proposed. In terms of knowledge features of power system operation mode, we studied a training method based on evaluation of learning state. This training method makes individual learning for different individual condition to give them ability to grasp learning points quickly, evaluate real-time learning effect, update learning style in time and summarize problems after one learning stage, so that learners can master professional knowledge in constant summaries and feedbacks. Obvious effects can be obtained on discontinuous learning time that trainees can master basic theories associated with their working and operations adapted to practical work quickly.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

F. Qian, Y. Fan, C. Liu and Y. Ai, "Approach of Training Working Staff of Power System Operation Mode Based on State Evaluation," Engineering, Vol. 5 No. 1B, 2013, pp. 191-196. doi: 10.4236/eng.2013.51B035.

References

[1] Donald Kirpatrick. Techniques for Evaluation Training Programs [M], Training and Development v50 p54-9 Ja’96.
[2] Laurie J.Bassi, George Benson, and Scott Cheney. The Top Ten Trends [M],Training and Development(Alexandria,Va.) v50 p38-54 N’96.
[3] ZHANG Yue. Fuzzy mathematics method and its application [M]. China Coal Industry Publishing House, 1996.
[4] TIAN Ling. Research on Fuzzy Comprehensive Evaluation of Electric Energy Purchasing Scheme Based on Analytic Hierarchy Process [J]. Power System Technology, 2005,29(7):23-27.
[5] QI Hong,YUAN Wei. Research on Distance Learner's Learning Characters and Strategies [J]. Distance Education in China, 2005, (17): 34-41.
[6] LI Haiyan. Distance Learners' Behaviors at Different Stages of the Learning Process [J]. Distance Education in China, 2009, (3):44-47.
[7] GAO Bo. The Research of Application of Meta-cognition and Fuzzy Theory in Electric Power System Simulating Training [D]. North China Electric Power University, 2007.
[8] CAO Ronghui, DONG Hongwei. Remote Education Training System for Power System Based on IP [J]. Northeast Electric Power Technology, 2006,27(12): 31-3

  
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