A protection scheme for AC microgrids based on multi-agent system combined with machine learning

Author(s):  
Muhammad Uzair ◽  
Li Li ◽  
Jian Guo Zhu ◽  
Mohsen Eskandari
Author(s):  
Botazhan Satuyeva ◽  
Bekbol Sultankulov ◽  
H. S. V. S. Kumar Nunna ◽  
Aidana Kalakova ◽  
Suryanarayana Doolla

Author(s):  
Tiago Pinto ◽  
Zita Vale

This paper presents the Adaptive Decision Support for Electricity Markets Negotiations (AiD-EM) system. AiD-EM is a multi-agent system that provides decision support to market players by incorporating multiple sub-(agent-based) systems, directed to the decision support of specific problems. These sub-systems make use of different artificial intelligence methodologies, such as machine learning and evolutionary computing, to enable players adaptation in the planning phase and in actual negotiations in auction-based markets and bilateral negotiations. AiD-EM demonstration is enabled by its connection to MASCEM (Multi-Agent Simulator of Competitive Electricity Markets).


Author(s):  
I V Bychkov ◽  
◽  
A G Feoktistov ◽  
I A Sidorov ◽  
A V Edelev ◽  
...  

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