基于超级电容储能的风电场功率调节系统建模与控制

LI Xiao; HU Changsheng; LIU Changjin; XU Dehong

您当前的位置：

首页 >

文章列表页 >

基于超级电容储能的风电场功率调节系统建模与控制

更新时间：2025-08-13

- 基于超级电容储能的风电场功率调节系统建模与控制
- Automation of Electric Power Systems Vol. 33, Issue 9, Pages: 86-90(2009)
- 作者机构：
  
  浙江大学电气工程学院,浙江省,杭州市,310027
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2009
- 稿件说明：
移动端阅览
LI Xiao, HU Changsheng, LIU Changjin, et al. [J]. Automation of electric power systems, 2009, 33(9): 86-90.
DOI：

LI Xiao, HU Changsheng, LIU Changjin, et al. [J]. Automation of electric power systems, 2009, 33(9): 86-90. DOI：

摘要

随着风电装机容量的不断提高，风电输出功率的波动性给电网带来的不利影响越来越得到重视。文中介绍一种基于超级电容储能的风电场功率调节系统，利用超级电容器组作为储能元件，平抑风电场有功、无功功率波动，维持风电场输出端电压，降低风电场对电网电能质量的影响。基于功率调节系统的结构特点和工作原理，提出了一种网级控制、超级电容能量管理和变流器控制相结合的控制策略，并建立了变流器的动态小信号模型，进行了环路控制器设计。利用仿真软件PSCAD/EMTDC对系统的控制策略进行了仿真分析，仿真结果验证了该装置具有良好的运行性能。

Abstract

The adverse impacts of wind power fluctuations on the power system become increasingly severe as wind turbineinstallation continues to grow. A super-capacitor energy storage（SCES） based wind power regulator is presented for smoothingpower fluctuations and controlling wind farm terminal voltage. Based on the configuration and operation principle of theregulating system， a control strategy combining wind power control， super-capacitor voltage control and power conditioningsystem（PCS） control is proposed in detail. A dynamic small-signal model of PCS is presented for PCS controller design. Theeffectiveness of the device and control strategy is validated by simulation with PSCAD/EMTDC.

关键词

Keywords

references

Views

4709

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

风力发电机组动力学建模与分析

风力发电机组暂态仿真模型

Power Quality Disturbance Classification Method Based on Time-series Two-dimensional Transformation and Multi-scale Transformer

Related Author

LIU Xianzheng

XU Yin

CHEN Ying

MEI Shengwei

HUANG Haihong

WANG Guangya

WANG Haixin

WANG Shouxiang

Related Institution

College of Information Science and Technology, Dalian Maritime University

State Key Lab of Power Systems， Department of Electrical Engineering， Tsinghua University

School of Electrical Engineering and Automation, Hefei University of Technology

Key Laboratory of the Ministry of Education on Smart Power Grids (Tianjin University)

Tianjin Key Laboratory of Power System Simulation and Control (Tianjin University)

⁰