Method for controlling auxiliary frequency modulation of electric vehicle based on feasible region

Abstract

The invention provides a method for controlling auxiliary frequency modulation of an electric vehicle based on feasible region. The method comprises the following steps: setting user requirement parameters; identifying charging and discharging control parameters of the electric vehicle; calculating an initial charging power; identifying a real-time frequency f of a power system, comparing the real-time frequency f with an object value so as to obtain a real-time frequency deviation [delta]f of the power system; constructing a charging and discharging feasible region, determining a charging and discharging curve position of the electric vehicle; acquiring the charging and discharging power P. The method, with a frequency signal of the power system as an input signal, cooperates with traditional frequency modulation method to take part in the frequency regulation of the power system. The method can maximally utilizes the electric vehicle to take part in system demand side response, so that the capacity of region power of dynamically balancing demand and supply is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of refined control of demand response in electric power systems, and in particular relates to an electric vehicle auxiliary frequency modulation control method based on a feasible region. Background technique [0002] The scale of renewable energy power generation continues to expand, providing a large amount of clean energy for the power system, alleviating environmental pressure, and promoting sustainable economic and social development. However, from the perspective of power system supply and demand balance, renewable energy has intermittent characteristics, and the grid integration of large-scale renewable energy has brought great challenges to the stability of the power system. The instability of renewable energy will not only increase the reserve capacity of the system, increase the operating cost of the system, but also have a great negative impact on power quality. For example, it is more difficult t...

AI Technical Summary

Problems solved by technology

The centralized control strategy is to form geographically dispersed electric vehicles into clusters by introducing intermediate management agencies (such as energy-efficient power plants, etc.), and conduct unified optimization and dispatch management according to the needs of the power grid to achieve the best overall control effect. The disadvantage is that it cannot Fully consider the differentiated needs of users, and at the same time need to rely on a complex communication system, the response speed is slow, and the investment cost is high

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