Wind power plant active scheduling method based on improved multi-agent consistency algorithm

Abstract

The invention discloses a wind power plant active scheduling method based on an improved multi-agent consistency algorithm, and belongs to the technical field of the wind power plant active scheduling. For the characteristics of numerous wind power plant unit and complex operation conditions, the method is improved on the basis of the traditional variable proportion distribution algorithm, and proposes an active scheduling method of fan dynamic grouping, and the multi-agent consistency algorithm is applied to the distributed scheduling method of the wind power plant active scheduling, and thedefect of the centralized scheduling is avoided; in the end, the traditional multi-agent consistency algorithm is improved, and a virtual consistency scheduling method in segmented updating is proposed for the fan grouping scheduling policy, the active scheduling on the fan in the wind power plant is realized, the active scheduling of the fan in the wind power plant under different conditions canbe effectively realized, the fan regulation margin is sufficiently utilized, and the action frequency of a control system is reduced; the scheduling cost is lowered, the difficulty of the updating algorithm is further lowered, and the feasibility of the engineering practice is enhanced.

Description

technical field [0001] The invention belongs to the technical field of wind farm active power dispatching, and in particular relates to a wind farm active power dispatching method based on an improved multi-agent consensus algorithm. Background technique [0002] In recent years, many large and medium-sized wind farms have been built and put into operation one after another, and the penetration rate of wind power in the power grid is increasing. The development mode in which large-scale new energy power generation bases are centrally connected to the power grid poses severe challenges to the power balance, safe and economical operation of the power grid. The optimal scheduling within the wind farm will help reduce the impact of wind power on the power system and reduce the operating loss of the wind farm. A large-scale wind farm often has dozens or even hundreds of wind turbines. Due to the influence of weather and location distribution, the operating status of the wind tur...

AI Technical Summary

Problems solved by technology

There is both a strong correlation and a certain degree of difference between the wind turbines in the wind farm, and there are a large number of wind turbines. The traditional multi-agent consensus algorithm is used to control all the wind turbines in the whole field, so that the control system operates frequently. , the mechanical loss increases, and the life of the equipment is shortened, thereby indirectly increasing the cost of wind power generation

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