Dynamic Equivalent Modeling and Simulation of Wind Farm Based on ASW-FCM Algorithm

Authors

Mudan Li, 1. Science & Technology College, North China Electric Power University, Baoding 071000, China;;2. College of Control and Computer Engineering, North China Electric Power University, Baoding 071000, China;
Yinsong Wang, 2. College of Control and Computer Engineering, North China Electric Power University, Baoding 071000, China;

Abstract

Abstract: A new dynamic equivalent modeling method is proposed for the wind farm of directly-driven wind turbine with permanent magnet synchronous generator (D-PMSG). The wake effect and wind direction change between multiple wind turbines are considered to calculate the effective input wind speed, the effective wind speed, rotor speed, pitch angle and output power are selected as the multi-group indicators after analyzing the wind turbine operating characteristics. Considering the differences and relevance of the operating conditions between the turbines, an adaptive sample weighting fuzzy C-means clustering algorithm (ASW-FCM) is designed to optimally cluster the wind farm. The clustered wind turbine group equivalent model is established based on the principle that the output characteristics before and after the equivalence are equal. A wind farm system is selected as the example of modeling and simulation to verify the rationality and accuracy of the equivalent modeling method.

Recommended Citation

Li, Mudan and Wang, Yinsong (2020) "Dynamic Equivalent Modeling and Simulation of Wind Farm Based on ASW-FCM Algorithm," Journal of System Simulation: Vol. 32: Iss. 8, Article 21.
DOI: 10.16182/j.issn1004731x.joss.20-0117
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss8/21

First Page

1606

Revised Date

2020-05-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0117

Last Page

1616

CLC

TM621

Recommended Citation

Li Mudan, Wang Yinsong. Dynamic Equivalent Modeling and Simulation of Wind Farm Based on ASW-FCM Algorithm[J]. Journal of System Simulation, 2020, 32(8): 1606-1616.

DOI

10.16182/j.issn1004731x.joss.20-0117