An Agent-Based Model for Simulating Smart Grid Innovations

To derive indicators for the future grid and market stability, in this paper an agent-based model is introduced, to simulate various scenarios. The scenario includes new market designs, market mixes, emerging technological inventions, and new regulations. Consumers demand energy based on seasonal variations or changing prices. The suppliers' production might also depend on seasonal variations, on the local solar irradiation or its flexibility; the ability to react to the market requests. The model introduced in this paper has been used to describe an example scenario of the year 2035, representing a market mix that includes a variety of different consumers and suppliers. Eventually, it shows, how the model can be applied to model various scenarios and how the resulting grids frequency, the market prices, and suppliers profit can be used as indicators for the grid and market stability. © 2018 IEEE.