This paper presents a Nuclear Power Plant (NPP) distributed control system developped as part of a CEA (french atomic agency) research program.
The use of multi-agents and anticipatory control to improve the performance and safety of nuclear power plants is discussed. The propose program seeks to ...
Abstract—A large-scale power system has been required to have a new control system to operate at a higher level of automation, flexibility, and robustness.
In this panel, a multi-agent system based intelligent control system (MAS-ICS) is presented as an alternative methodology to control a large-scale power plant.
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The model adopts a blackboard control architecture with four agents cooperating together to solve problems. It was demonstrated in a case study using a BWR ...
Abstract. This study investigates the use of Multi-Agent. Reinforcement Learning (MARL) to enhance the efficiency of power system operation and control.
Abstract—A large-scale power system is required to have a new strategy to operate at a higher level of automation, flexibility, and robustness.
A large-scale power system is required to have a new control system to operate at a higher level of automation, flexibility, and robustness.
The paper describes the work that has taken place in the ARCHON Project, ESPRIT project P-2256. The consortium has developed a general-purpose architecture, ...