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Modelling and Simulation of Electrical Energy Systems Through a Complex Systems Approach Using Agent-Based Models
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Complexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids.
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Keywords
- complexity
- demand side management
- emergence
- multi agent systems
- Smart Grids
- Technology, engineering, agriculture
- Technology: general issues