Internet of Vehicles charging and discharging management method and system, power system and storage medium

Abstract

The invention discloses a vehicle-to-network (V2G) two-way charging and discharging management method and system, a power system and a storage medium that can improve the climbing flexibility of the power system. The invention manages the charging behavior of the electric vehicle cluster through a game method, thereby Contribute flexibility to the power system with optimized bi-directional charging for connected vehicles. Compared with the existing technology, the present invention realizes the function that the Internet of Vehicles charging contributes to the flexibility of the power system, can deal with the problem of lack of flexibility of the power system caused by the high proportion of renewable energy generation access, and solves the problem of electric vehicle owners and power grid operation. The balance of interests of suppliers and the problem of grid flow congestion. In addition, the present invention also enables the proposed model to be solved quickly through the reconstruction of the single-layer mixed integer second-order cone optimization model, and can simultaneously ensure high efficiency, high precision and optimality of the solution.

Description

technical field [0001] The present invention relates to the technical field of electric power system, and proposes a two-way charging and discharging management method of the Internet of Vehicles that can improve the climbing flexibility of the electric power system. The two-way charging of the Internet of Vehicles contributes flexibility to the power system. Background technique [0002] The power system with a high proportion of renewable energy power generation access presents the problem of insufficient flexibility and climbing ability. Its specific manifestation is that due to the characteristics of intermittent power generation of renewable energy, its sudden increase or decrease in output will cause the net load curve of the system to change rapidly in a short period of time. At this time, although the traditional generator sets in the system have sufficient power generation capacity, they do not have enough ramping capacity to cope with the rapid change of net load,...

AI Technical Summary

Problems solved by technology

However, the existing technology has the following three deficiencies: 1. The optimal dispatching plan has not been considered in terms of improving system flexibility and climbing ability

2. The network power flow constraints of the power grid are not considered

3. The optimality of the model solution is not guaranteed

Although the search algorithm can be used to solve a class of more complex optimization models, its characteristics determine that its solution results tend to fall into local optimum and the optimization efficiency is low.

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