Optimal Operator Training Reference Models for Human-in-the-loop Systems

Date
2019-01-08
Authors
Hu, Wan-Lin
Rivetta, Claudio
MacDonald, Erin
Chassin, David P.
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The human operator is an integral part of a stable and safe power system. While there is increasing attention paid to automation improvements, the importance of understanding and training human operators may be understated. This paper discusses a project to enhance operator training programs by evaluating human performance relative to a reference operator model identified using optimal control theory. Along with establishing a simple computer-based operator workstation for future training purpose, this paper describes the optimal control response design methodology for a human-in-the-loop power system experiment. The overall system model is presented. An optimal controller synthesis methodology is applied to the model system and the optimal controller is designed. The performance of the optimal controller is then compared to human subject performance.
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Resilient Networks, Electric Energy Systems, human-in-the-loop, operator training, optimal control, power system
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8 pages
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Proceedings of the 52nd Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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