Wind power plant power real-time distribution method based on NSGA-II algorithm

By adopting the real-time distribution method of wind farm power based on NSGA-II algorithm in the wind farm, a fan fatigue damage model is constructed, which solves the problem of fan fatigue damage optimization and slow algorithm convergence speed in the wind farm, and the effect of wind farm power balance and stable system operation is achieved.

CN119726896APending Publication Date: 2025-03-28NANTONG UNIV
0 Cites 1 Cited by

Patent Information

Application Number
CN202411710524.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-27
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

In the power optimization distribution of wind farms, it is difficult to effectively control the fatigue damage of the fan, and the optimization algorithm has high computational complexity and slow convergence speed, making it difficult to meet the needs of real-time control of wind farms.

Method used

The real-time distribution method of wind farm power based on NSGA-II algorithm is adopted. By constructing a fatigue damage model of the fan spindle and tower, a multi-objective optimization algorithm is designed, and the power distribution status of each wind turbine is calculated in real time to ensure the stable operation of the system.

Benefits of technology

It effectively reduces the accumulated fatigue damage of the fan spindle and tower, improves the system optimization efficiency and the convergence speed of the algorithm, and ensures the power balance between the fans in the wind farm and the stable operation of the system.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention provides a wind power plant power real-time distribution method based on an NSGA-II algorithm, and relates to the technical field of wind power plant operation and control. The method comprises the following steps: S1, data collection; s2, constructing a main shaft and tower fatigue damage model of wind power plant power distribution; s3, designing an optimization algorithm based on NSGA-II, and solving the fatigue damage optimization model; and S4, calculating the power distribution condition of each wind turbine generator in the wind power plant in real time so as to ensure the stable operation of the system. According to the method, the fatigue damage optimization model is constructed, and the NSGA-II algorithm is introduced, so that the accumulated fatigue damage of the fan main shaft and the tower is effectively reduced. On the premise that the dispatching requirement of an electric power system for the output power of a wind power plant is met, a weighted summation objective function is adopted, power reference values of all draught fans are dynamically distributed, fatigue damage is minimized, and the balance of power distribution is guaranteed. Compared with an existing power average distribution method, the service life of the draught fan is remarkably prolonged, and the overall operation efficiency of the wind power plant is remarkably improved.
Need to check novelty before this filing date? Find Prior Art