The future role of human operators in highly automated electric power systems

•Discusses scope and aspects of automation on electric grid operation.•Discusses situational awareness (SA) of human operators in the control room (CR).•Identifies CR tasks and interactions considering a high degree of grid automation.•Proposes decision support system design to assist human operator...

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Bibliographic Details
Published inElectric power systems research Vol. 175; p. 105883
Main Authors Prostejovsky, Alexander M., Brosinsky, Christoph, Heussen, Kai, Westermann, Dirk, Kreusel, Jochen, Marinelli, Mattia
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.10.2019
Elsevier Science Ltd
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Summary:•Discusses scope and aspects of automation on electric grid operation.•Discusses situational awareness (SA) of human operators in the control room (CR).•Identifies CR tasks and interactions considering a high degree of grid automation.•Proposes decision support system design to assist human operators in their new roles.•Human operators will remain essential for grid operation in extremal grid conditions. In the wake of the widespread deployment of renewable energy sources (RESs) and the introduction of other distributed energy technologies, the grid exhibits faster and more intricate dynamics. A lot of attention is therefore being put on automated grid management systems, which entail a shift in the role and tasks of human operators in the control rooms (CRs). Given the rapid pace of development, the question ultimately arises if human guidance is necessary at all to safely operate the grid. This work investigates the prospective role of the human operators in CRs under consideration of cognitive challenges in highly automated power systems, aiming to maintain safe and efficient grid operation. A review on relevant literature casts light on the scope of influence of automated grid management systems, the operational states of power system that will still require human assistance, as well as activities and interactions. Finally, recommendations on the design of decision support systems (DSS) supporting humans in their future role are provided.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2019.105883