Non-cooperative game based energy management method for prosumers considering operation cost of integrated system under uncertainty

With the fast promotion of renewable energy in the power system, the congestion is more significant and essentially impacts the energy consumption behaviour of the network user in the integrated system. The energy utilisation behaviour of the prosumers, only considering the energy cost currently, will change essentially due to the status of the networks. Corresponding to these issues, this paper designs a new hybrid energy management method for the prosumers considering the operation cost from the integrated electric and thermal system. Firstly, both electric and thermal networks are modelled to reflect the energy consumption behaviour of the prosumers. The energy and network operation costs are evaluated by extrapolating the traditional LMP method from electricity to the thermal system. Thus, the total energy bill for the prosumers consists the energy cost, the congestion cost and the cost of the network losses. Then, the energy-management method among the prosumers is designed based on the non-cooperative game considering the conditional value at risk (CVaR) of the renewable output. To protect the privacy of energy consumption behaviour, an iterated best response algorithm is designed based on differential evolution. Finally, the proposed model and optimization method are verified by a practical electric-thermal system. The results show that the network operation cost plays a key role in the energy management of prosumers and the proposed model could reduce energy bills with increased renewable consumption.