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

Abstract

The invention discloses an Internet of Vehicles (V2G) bidirectional charging and discharging management method and system capable of improving climbing flexibility of an electric power system, an electric power system and a storage medium. Charging behaviors of an electric vehicle cluster are managed through a game method, and thus flexibility is contributed to the electric power system through optimized Internet of Vehicles bidirectional charging. Compared with the prior art, the method has the advantages that the function of contributing to the flexibility of the power system through Internet-of-Vehicles charging is realized, the problem of lack of flexibility of the power system caused by high-proportion renewable energy power generation access can be solved, and the problems of benefitbalance of an electric automobile owner and a power grid operator and power grid tide blockage are solved. Besides, through reconstruction of a single-layer mixed integer second-order cone optimization model, the proposed model can be quickly solved, and high efficiency, high precision and optimality of solving can be ensured at the same time.

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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