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A Wind Farm Active Power Scheduling Method Based on Improved Multi-Agent Consensus Algorithm

A multi-agent, wind farm technology, applied in wind power generation, electrical components, circuit devices, etc., can solve problems such as increasing wind power generation costs, shortening equipment life, and increasing mechanical losses.

Active Publication Date: 2020-10-20
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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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

Method used

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  • A Wind Farm Active Power Scheduling Method Based on Improved Multi-Agent Consensus Algorithm
  • A Wind Farm Active Power Scheduling Method Based on Improved Multi-Agent Consensus Algorithm
  • A Wind Farm Active Power Scheduling Method Based on Improved Multi-Agent Consensus Algorithm

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Embodiment 1

[0221] In this embodiment, a certain wind farm is taken as an example to test and simulate the present invention. The wind farm has 24 2.0MW wind turbines, the sampling period is 15min / point, the communication period between the wind turbines is 0.2s, and the active power dispatching command is updated. The period is 15min / time, and the operating status of each fan is shown in Table 3. This embodiment is based on the data recorded by the SCADA system of the wind farm, and according to the actual recorded output of the wind turbine, the active power scheduling method of the wind farm based on the improved multi-agent consensus algorithm proposed by the present invention is used to realize the effective dispatching command of the wind farm active power. distribute.

[0222] Table 3 fan running status table

[0223]

[0224] attached Figure 3(a)-3(d) For the simulation results when the scheduling command is 20MW, it shows the changes of auxiliary variables, single-machine a...

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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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/48H02J3/38
CPCH02J3/386H02J3/48H02J2203/20Y02E10/76
Inventor 姚琦胡阳刘吉臻
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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