Gray wolf optimization algorithm based frequency modulation PID control method of doubly-fed induction wind-powered generation unit
A wind turbine and optimization algorithm technology, applied in wind power generation, electrical components, circuit devices, etc., can solve the problems of high control cost, long tracking time, and restrictions on the development of wind power generation, and achieve the effect of improving control accuracy and speeding up control speed
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0034] Example 1: The response of the system when the wind speed is continuously stepped from 8m / s to 12m / s, and the wind speed is increased by 1m / s for each step change to simulate a sudden change in wind speed. from image 3 It can be clearly found that compared with before optimization, the gray wolf algorithm can provide the largest power factor and achieve the largest wind energy capture. When adjusting the active power, the gray wolf algorithm obtains the minimum active power, which can adjust the active power more smoothly and quickly.
Embodiment 2
[0035] Example 2: The response of the system when the wind speed varies randomly between 8m / s and 12m / s. The wind speed is unpredictable, so the random wind speed change is used to study the control performance of the pack of gray wolves algorithm. The wind speed is within the rated working range, starting from 10m / s, changing randomly, and finally returning to 10m / s. The system responds as Figure 4 shown. It can be clearly found that the pack of gray wolves algorithm can obtain the power coefficient with the smallest oscillation. In the case that the active power adjustment is still oscillating when the optimization is not used, an almost smoothed curve appears. It is proved that when the algorithm of gray wolves is used, it is not easy to disturb the adjustment of the system due to the random mutation of wind force.
Embodiment 3
[0036] Embodiment 3: The rated voltage of the simulated power grid is dropped by 30% due to a sudden ground short circuit of the line and lasted for 625ms. The response of the system is as follows Figure 5 shown. The results show that the gray wolf algorithm has smaller power coefficient fluctuations than before optimization, and can still maintain a relatively minimum active power. Therefore, the gray wolf algorithm can quickly and effectively repair the system interference caused by the grid voltage drop, and enhance the stability of the power system.
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com