An automatic demand response method for electric vehicles aimed at maintaining the balance between supply and demand in microgrids

Abstract

An electric vehicle automatic demand response method for the purpose of maintaining the balance between supply and demand of microgrids, comprising the following steps: establishing an ADR optimization architecture including an automatic demand response ADR server, a demand response DR operation management unit, an ADR client and a response subject; Discretize the time of the day and divide it into multiple time periods; in any time period, DR operation management collects power supply side output information and demand side power consumption information, calculates the compensation demand, and sends it to the ADR server; the ADR server collects the response The urgent level parameters of the subject, calculate the virtual electricity price and demand status signal according to the compensation supply and compensation demand, and send it to all responding subjects; each responding subject automatically adjusts its own charging and discharging power after receiving the virtual price signal and demand status signal ; until the end of the optimization interval. The system structure of the invention is simple and reliable, has good interactivity, high grid connection efficiency and is suitable for large-scale PEV scheduling.

Description

technical field [0001] The invention belongs to the technical field of charge and discharge regulation of electric vehicles, and in particular relates to an automatic demand response method for electric vehicles for the purpose of maintaining the supply and demand balance of a microgrid. Background technique [0002] Due to the depletion of primary energy in the world and the increasingly serious environmental problems, the strategic position of new energy represented by photovoltaics and wind power has begun to increase, and the entire new energy industry is experiencing rapid development. However, the intermittent and fluctuating output characteristics of new energy have to a certain extent become one of the restrictive factors for its high penetration rate utilization. [0003] On the other hand, the rapidly developing grid-connected electric vehicle (PEV) industry has gradually become an indispensable and important part of the smart grid field. Network access will have ...

AI Technical Summary

Problems solved by technology

But at the same time, as the scale of PEV increases, the difficulty of centralized optimization will continue to increase

Secondly, centralized control is mostly day-ahead scheduling based on a certain statistical probability, and it is difficult to achieve real-time DR management for a single PEV

Demand-side DR optimization can overcome some disadvantages of power-side optimization, but the optimization process still needs to predict the output of renewable energy, which is not ideal in terms of the ability to deal with output uncertainty

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