A time sequential simulation method for monthly energy trade planning in the power system with multiple energy resources

The mathematical model of power scheduling in the power systems containing many kinds of energy resources is very complex, for it involves many variables, which result in long solving time and high computation requirement especially in the medium-long time scale planning. The existing monthly energy trade planning methods usually focus on single conventional power energy resource. Therefore, it is difficult to effectively deal with the problem of monthly trading plan with multiple energy sources. To solve the problem above, a new time sequential simulation method is proposed. The method presented in this paper takes into account the output characteristics of renewable energy, the output characteristics of conventional units, load characteristics, peak load regulation characteristics of units, and the operation mode. A novel monthly trading planning model which can satisfy the energy saving generation dispatch is presented and is solved using the presented time sequential simulation method by which the power operation is optimized time interval by time interval. The simulation results verify that the presented model and solving method is reasonable and effective. The comprehensive generation costs can be reduced and the social benefits can be improved by using the presented model and method in the process of monthly planning.