Optimal configuration method and system for active power of wind power plant and computer readable storage medium

Abstract

The embodiment of the invention provides an optimal configuration method and system for active power of a wind power plant and a computer readable storage medium. The method comprises the following steps: establishing an equivalent network of a wind power plant, wherein the equivalent network of the wind power plant comprises a plurality of groups of equivalent fans connected to an alternating current bus through power transmission lines; selecting at least one group of equivalent fans from the plurality of groups of equivalent fans as relaxation nodes, and determining the power flow distribution of the wind power plant under the static wind speed based on the active scheduling instruction of the wind power plant and the established equivalent network of the wind power plant; establishing a dynamic mathematical model of the wind power plant under the dynamic wind speed; establishing an active power instruction optimization model of the wind power plant based on rotor kinetic energy maximization; and performing active power configuration based on rotor kinetic energy optimization under the dynamic wind speed based on the power flow distribution of the wind power plant under the static wind speed, the established active power instruction optimization model of the wind power plant and the dynamic mathematical model of the wind power plant. Therefore, the target of active power regulation and the maximization of the stored kinetic energy of the rotor are realized.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of wind power generation, and in particular to a method for optimally configuring active power of a wind farm, a system thereof, and a computer-readable storage medium. Background technique [0002] With the gradual depletion of energy sources such as coal and oil, human beings pay more and more attention to the utilization of renewable energy. As a clean and renewable energy, wind energy has been paid more and more attention by countries all over the world. With the continuous development of wind power technology, the application of wind turbines in power systems is increasing. Wind farms will be built in places with abundant wind energy resources. [0003] Due to the volatility, randomness, and uncertainty of wind resources, the frequency of wind farms will inevitably fluctuate. Therefore, achieving an effective response to the grid active power dispatch command is an effective way ...

AI Technical Summary

Problems solved by technology

At the same time, there will inevitably be active power loss in the transmission lines within and between wind farm stations, which further intensifies the impact on the effectiveness and real-time performance of wind farm active power control.

[0004] Existing wind farms generally adopt the Maximum Power Point Tracking (MPPT) control method, with the main goal of maximizing the active power of the wind turbines. When the wind farm station issues dispatch instructions, it mainly considers the real-time output of the above-mentioned wind turbines. The active power value does not consider the influence of the active power loss of the power transmission line of the station on the overall active power configuration of the wind farm

At the same time, under the influence of the wake effect of the wind farm, since the wind speed conditions faced by the wind turbines are unbalanced, the active power adjustment capabilities that each group of wind turbines can undertake are not equal. The existing methods ignore the contribution of each group of wind turbines to the wind farm active power Regulation and frequency support capabilities are not the same, so it is impossible to realize the optimal strategy of active power allocation in wind farms

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