Validating Intelligent Power and Energy Systems - A Discussion of Educational Needs

被引:4
|
作者
Kotsampopoulos, P. [1 ]
Hatziargyriou, N. [1 ]
Strasser, T. I. [2 ]
Moyo, C. [2 ]
Rohjans, S. [3 ]
Steinbrink, C. [4 ]
Lehnhoff, S. [4 ]
Palensky, P. [5 ]
van der Meer, A. A. [5 ]
Bondy, D. E. Morales [6 ]
Heussen, K. [6 ]
Calin, M. [7 ]
Khavari, A. [7 ]
Sosnina, M. [7 ]
Rodriguez, J. E. [8 ]
Burt, G. M. [9 ]
机构
[1] Natl Tech Univ Athens, Athens, Greece
[2] AIT, Vienna, Austria
[3] HAW Hamburg Univ Appl Sci, Hamburg, Germany
[4] OFFIS eV, Oldenburg, Germany
[5] Delft Univ Technol, Delft, Netherlands
[6] Tech Univ Denmark, Lyngby, Denmark
[7] European Distributed Energy Resources Labs DERlab, Kassel, Germany
[8] TECNALIA Res & Innovat, Bilbao, Spain
[9] Univ Strathclyde, Glasgow, Lanark, Scotland
来源
INDUSTRIAL APPLICATIONS OF HOLONIC AND MULTI-AGENT SYSTEMS | 2017年 / 10444卷
基金
欧盟地平线“2020”;
关键词
Cyber-Physical Energy Systems; Education; Learning; Smart grids; Training; Validation; SMART; SIMULATION;
D O I
10.1007/978-3-319-64635-0_15
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Traditional power systems education and training is flanked by the demand for coping with the rising complexity of energy systems, like the integration of renewable and distributed generation, communication, control and information technology. A broad understanding of these topics by the current/future researchers and engineers is becoming more and more necessary. This paper identifies educational and training needs addressing the higher complexity of intelligent energy systems. Education needs and requirements are discussed, such as the development of systems-oriented skills and cross-disciplinary learning. Education and training possibilities and necessary tools are described focusing on classroom but also on laboratory-based learning methods. In this context, experiences of using notebooks, co-simulation approaches, hardware-in-the-loop methods and remote labs experiments are discussed.
引用
收藏
页码:200 / 212
页数:13
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