Control of a generator-battery-ultracapacitor hybrid energy system using game theory

This paper discusses a game theory based control of an engine/generator-battery-ultracapacitor hybrid energy system. The engine/generator, the battery and ultracapacitor packs are modelled as three independent agents to show their different preferences under the Netlogo environment. The preferences of these three energy components are represented by utility functions. Then a non-cooperative current control game is set up and a Nash equilibrium is found which is used as reference solution formula to be updated at each control instant. The weights in the utility functions are chosen based on the location of the knee point in the Pareto set. The simulation results show that the game theory based control has a comparable performance with the average load demand-based control without knowing the pre-knowledge of the test trip.