Optimal scheduling of multi-integrated energy service provider considering hybrid game-based distribution network and hydrogen energy system
In order to solve the energy trading problem in the cooperative operation of multi-integrated energy service provider(IESP),under the premise of considering the uncertainties of the system,the electricity price is set by the distribution system operator(DSO),and the power purchase and sale plan of the IESP alliance and the energy interaction plan among the IESP members are coordinated.Based on the historical output data of typical wind and photovoltaic scenes and taking the comprehensive norm as constraint,a data-driven distributionally robust optimization scheduling model of IESP alliance is proposed.A master-slave game mo-del is constructed with DSO as the upper leader and IESP alliance as the lower follower,and a cooperative game model with the lower IESP alliance as the main player is also produced.In the lower IESP alliance,the hydrogen energy system model is established,and the demand response and carbon trading mechanism are considered.Based on Nash negotiation theory,the cooperative game model is divided into alliance cost minimization problem and payment benefit maximization problem.The model is solved by the combination of bisection method,column and constraint generation algorithm and alternating direction method of multi-pliers.The simulative results show that compared with the traditional master-slave game model,the proposed hybrid game model can minimize the joint operation cost of the IESP alliance,and the hydrogen energy sys-tem can effectively reduce carbon emission and has good economic benefit.The IESP alliance achieves a fair distribution of the cooperation benefits based on the contribution of each member.
integrated energy service providerdemand responsehybrid gamedistributionally robust optimi-zationhydrogen energy systemdistribution networkoptimal scheduling
万方数据
维普
