Cooperative optimization method and system for electrified traffic network and electric system

Abstract

The invention provides a cooperative optimization method and system for an electrified traffic network and an electric system. The electrified traffic network of an electric car and the electric network are coupled, an initial path of the electric car and initial price parameters of charging stations are obtained, the position information and residual electric quantity information of the electric car are obtained in real time, a minimum-cost path of the electric car is searched for through a dijkstra algorithm according to the position information, the residual electric quantity information and the initial path of the electric car and the initial price parameters of the charging stations, the electric quantity required by each charging station is worked out, and the electric network is optimized through a Lagrangean relaxation algorithm. The electrified traffic network of the electric car and the electric system are coupled, on the one hand, the path optimization is solved through the dijkstra algorithm, and the sum of charging, transportation and time-consuming cost is reduced, and on the other hand, electric network feedback is optimized through the Lagrangean relaxation algorithm according to the electric quantity required by each charging station, and cooperative optimization of the electrified traffic network and the electric system is achieved.

Description

technical field [0001] The invention relates to the technical field of electric vehicle management and control, in particular to a collaborative optimization method and system for an electrified traffic network and a power system. Background technique [0002] New energy vehicles, including plug-in hybrid electric vehicles (PHEVs) and battery electric vehicles (BEVs), play an important role in reducing China's air pollution, gasoline consumption, and the transportation industry's dependence on oil. Plug-in cars run entirely or partially on cheap electricity available from local, regenerative sources that are less carbon-intensive than gasoline. However, the ever-increasing number of electric vehicles on the road leads to more energy demands on the power system. This will have a directly proportional impact on power system operation. For a reliable power system, power generation and consumption should be in balance. [0003] Electric vehicles are random in the traffic netw...

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Problems solved by technology

[0004] Based on this, it is necessary to provide a collaborative optimization method and system for electrified transportation network and power system, aiming at the problem that there is currently no coordinated optimization method for e

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