Electric vehicle charging scheme optimization method based on system marginal power generation cost

Abstract

The invention discloses an electric vehicle charging scheme optimization method based on the system marginal power generation cost, which is characterized in that on the basis of unit combination and economic dispatch, by taking the marginal power generation cost as a decision basis, a charging scheme of electric vehicles in a whole dispatch time period is optimized, and the total charging cost of the electric vehicles is guaranteed to be lowest. The method comprises the steps that according to the technical characteristics and charging modes of the electric vehicles, the whole dispatch time period is divided into a plurality of charging intervals; the average marginal power generation cost of each usable charging interval is computed subsequently; and the electric vehicles are preferably arranged to be charged in the charging interval with the lowest average marginal power generation cost. The steps are performed iteratively till all the electric vehicles are charged. In the iteration process, if all the charging intervals cannot be used due to limitation of the starting capacity in the existing unit combination scheme, a new unit is started according to a principle that the additional starting cost is lowest for continuing the whole charging scheme optimization process.

Description

technical field [0001] The invention relates to electric vehicle technology, in particular to an electric vehicle charging scheme optimization method for the marginal power generation cost of a unit system. Background technique [0002] Fuel vehicles emit a large amount of greenhouse gases and polluting gases while consuming most of the oil resources, which poses a huge challenge to environmental protection and sustainable development. Compared with traditional vehicles, electric vehicles have incomparable advantages in alleviating the energy crisis and promoting the harmonious development of human beings and the environment. At present, electric vehicles have become the focus of attention of governments, energy manufacturers and automobile manufacturers. With the continuous improvement of battery production and manufacturing technology, the increasing environmental pollution and the gradual depletion of oil resources, the proportion of electric vehicles in the road traffic ...

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Problems solved by technology

Obviously, the extended unit combination model extended from the unit model considering the charging optimization of electric vehicles will be more difficult to solve. The references given in the previous paragraph respectively use the particle swarm algorithm and the mixed integer linear programming method to solve the model, and the solution process is relatively complicated. , there are certain difficulties when the algorithm is applied to the actual scale power system

[0006] Secondly, the modeling process completely ignores the charging characteristics of electric vehicles, does not consider that the charging process of electric vehicles is a continuous process, and assumes that it completes the charging process within a single scheduling period (1h or 0.5h)

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