Stochastic simulation of the smart grid and demand response implementations on a city-wide scale

The paper focuses on modeling and simulation of the stochastic nature of a city that has implemented the smart grid and demand response paradigm. A stochastic model has been developed in Anylogic using agent based and system dynamics modeling. The city model consists of over 1000 smart building agents with controllable loads, local energy storage and local renewable energy source (photovoltaic). After elaboration of modeling principles, two simulations were carried out. In the first one, the effect of the demand response implementation on a city-wide level from an energy perspective is examined. In the second one it is analyzed whether the demand response increases security in the power supply. Also, terms demand response, smart grid and smart building are defined and explained.