A wind farm reactive voltage control method and device

By using a wind speed and power demand prediction model based on a long short-term memory network algorithm and fuzzy control rules, the problem of grid voltage fluctuation caused by insufficient reactive power of wind farms was solved, thereby improving the stability and reliability of the grid and increasing the operating efficiency of wind farms.

CN119864817BActive Publication Date: 2026-05-01CGN NANZHAO COUNTY NEW ENERGY CO LTD DENGZHOU BRANCH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CGN NANZHAO COUNTY NEW ENERGY CO LTD DENGZHOU BRANCH
Filing Date
2024-12-25
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Insufficient reactive power during grid-connected operation of wind farms leads to grid voltage fluctuations, and the limited regulation capabilities of traditional generator sets make it difficult to meet grid demands.

Method used

A wind speed and power demand prediction model based on a long short-term memory network algorithm is adopted, and dynamic adjustments are made in conjunction with real-time data. Fuzzy control rules are set, and reactive power output is optimized through compensation equipment to maintain grid voltage stability.

Benefits of technology

It enables wind farms to respond quickly under different operating conditions, enhances the safety and stability of the power grid, improves the operating efficiency of wind farms and the reliability of the power grid, and promotes the application of renewable energy.

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Abstract

The application provides a wind farm reactive voltage control method and device, relates to the technical field of reactive voltage control, and specifically comprises the following steps: collecting wind speed, power demand and voltage data in real time, collecting historical wind speed and power demand data; constructing a model based on a long short-term memory network algorithm, outputting predicted wind speed and predicted power demand at the next moment, and calculating reactive power; setting fuzzy control rules, updating the reactive power output of compensation equipment, recording voltage deviation, and adjusting the fuzzy control rules and gain according to the feedback voltage deviation. Through the prediction model and the dynamic adjustment strategy of real-time data, the application makes up for the voltage fluctuation problem caused by the insufficient reactive power of the wind farm in grid-connected operation. Through real-time monitoring of wind speed and power demand, the output power and reactive power demand are calculated by using the prediction model, so that quick response can be achieved under different operating states.
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Citation Information

Patent Citations

  • Micro-grid system monitoring method having reactive automatic compensation function

    CN106026113A

  • Wind power plant reactive voltage control method and system

    CN111668883A

  • Short-term wind power prediction method based on time domain convolutional neural network

    CN115169726A