Combined Heat And Power Economic Dispatch Considering Large-scale Electric Vehicles And Wind Power Generation

Nowadays as the depletion of fossil fuels and the environmental issues have become increasingly prominent, electric vehicles and wind power generation have been greatly developed. The high penetration of them has brought new challenges to power system scheduling.A large number of cogeneration units adopt the operation method of’ordering power by heat’which leads to the inadequacy of peaking capability and uneconomic operation of power grid, and that’s one of the important reasons for wind power curtailment in three Northern region in winter. The flexible adjustment ability of conventional units, co-generation units and electric vehicle (EV) controllable load should be used to improve the economic performance of the generation units and reduce the adverse effects of the electric vehicle charging on the power system while satisfying electric and heat load.The research on the combined power and heat dispatching considering electric vehicle controllable load and wind power generation is carried out in this paper. The primary work of this paper includes:First of all, the characteristics of different types of co-generation units and EV centralized charging controllable load were studied to provide a theoretical basis for the establish of the joint scheduling model.Secondly, the optimal model was established with the objective functions of maximizing the co-generation units’output range and minimizing the operating cost, considering several constraint conditions such as thermal load balance. The non dominated sorting genetic algorithm (NSGA-Ⅱ) was used to solve the problem and the relationship between the operating economy and the maximum output range was further studied. Several simulations were also studied to conclude some conclusions.The EV charging model based with the objective function of minimizing total load variance was established with the consideration of several constraint conditions. The YALMIP optimization toolbox was used to solve the optimization problem, and the effectiveness of the optimization model was analyzed by simulation. The equivalent load of the system could be calculated by the minimum active power output model of the thermoelectric generation units, so that the electric vehicle charging load can be controlled to participate in the joint scheduling.At last, according to the electric vehicle charging load information obtained from the EV charging control model above, the dispatching center gave orders to the conventional thermal power units, the thermoelectric generation units and the wind power generation to carry on the joint operation in the winter heating period. Thermoelectric generation units take the heating task, and the electric load is shared by the thermoelectric units, the thermal power units and the wind power generation. The joint economic thermoelectric scheduling model considering large-scale EV load and wind generation was established with the objective function of minimizing the total operating cost. The YALMIP toolbox was used to solve the optimization problem and the MATLAB simulation examples verified the feasibility and effectiveness of the optimization model. The effects of different factors on the scheduling results were studied as well.