
doi: 10.15439/2015f310
We present in this paper GRENAD, a Multi-Agent System based framework for the simulation and piloting of power-grids and particularly smart grids. Exploiting a component-based approach, it allows a flexible design of complex smart grid applications by providing a generic canvas where extensible, modular and reusable components, defined on the basis of their functionalities, can be easily combined and connected. Thanks to Multi-Agent approach, a set of such components can naturally be integrated into a coherent economical agent. GRENAD makes no assumption on the energy definition and eases the development of MAS control algorithms for smart grids. The level of details of the energy-related information is controllable. This information is computed either through internal physical models or by interfacing with external simulators. We present here our model, illustrate its features with a rich example which exhibits its genericity, and demonstrate how a coordination protocol can easily be integrated to it.
Controllability, [INFO.INFO-SY] Computer Science [cs]/Systems and Control [cs.SY], simulator, Internal physical constraints, energy supply, Information technology, components, controllable, modular, smart grid, Virtual Power Plant, agent model, multi-agent system (MAS), QA75.5-76.95, T58.5-58.64, functionalities, smart grid model, JADE agents, JADE language, Electronic computers. Computer science, electricity grid, interface, [INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA], energy, [SPI.NRJ] Engineering Sciences [physics]/Electric power
Controllability, [INFO.INFO-SY] Computer Science [cs]/Systems and Control [cs.SY], simulator, Internal physical constraints, energy supply, Information technology, components, controllable, modular, smart grid, Virtual Power Plant, agent model, multi-agent system (MAS), QA75.5-76.95, T58.5-58.64, functionalities, smart grid model, JADE agents, JADE language, Electronic computers. Computer science, electricity grid, interface, [INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA], energy, [SPI.NRJ] Engineering Sciences [physics]/Electric power
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