B2G and V2G Distribution Network Power Control System and Method Based on Genetic Algorithm

Abstract

The invention discloses a B2G and V2G power distribution network power control system and method based on genetic algorithm. The system comprises a control center for data interaction with the power distribution network, a distributed power supply, an out-of-service battery pile and an electric vehicle, wherein the control center is electrically connected with the electric vehicle through a charging pile; and the charging pile is electrically connected with the out-of-service battery pile and the distributed power supply separately. The control steps are as follows: 1) the state information of the power distribution network, the electric vehicle, the distributed power supply and the out-of-service battery pile is collected; and 2) the output plans of the electric vehicle and the out-of-service battery pile are worked out based on genetic algorithm, and output is controlled according to the output plans. By virtue of the power control system and method, dispersity of the V2G space is overcome, and increment of valley power market is increased; by performing comprehensive control calculation on the out-of-service battery pile and the electric vehicle, the out-of-service battery pile and the electric vehicle can be used as backup capacity of the distributed power supply to smooth the grid connection of the distributed power supply; and in addition, the optimization searching characteristic of the improved genetic algorithm can be made into full play, new energy utilization rate can be further improved, and the operating economy of the power grid is optimized.

Description

technical field [0001] The invention relates to the technical field of power system distribution network optimization, in particular to a B2G and V2G distribution network power control system and method. Background technique [0002] In recent years, electric vehicles have developed rapidly due to their environmental friendliness, low noise, and high energy efficiency. In 2014, a total of 353,522 electric vehicles were sold in the global market, a year-on-year increase of 56.78%. Among them, 323,864 electric passenger vehicles accounted for 91.61%. %. Electric passenger vehicles refer to "Double 80" vehicles, with a maximum speed of over 80km / h and a cruising range of over 80km on a single charge; 29,658 electric buses and electric special vehicles, accounting for 8.39%. With the large-scale application of electric vehicles, the improvement of power battery performance, and the intelligentization of electric vehicle access methods, the V2G model has emerged as the times req...

AI Technical Summary

Problems solved by technology

However, electric vehicles are different from traditional loads. The charging and discharging power of electric vehicles is affected by factors such as user driving behavior, battery characteristics, charging and discharging devices, and has uncertainties in time and space.

When electric vehicles and energy storage stations are connected to the grid, they are highly random and cannot play their role to the maximum extent, and will even increase the peak load pressure on the distribution network, affecting the safe operation of the power grid

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