Droop Coefficient Modification Method for DFIG Based on Low-order System Frequency Response Model

被引:0
|
作者
Quan R. [1 ]
Pan W. [1 ,2 ]
Liu M. [1 ]
机构
[1] College of Energy and Electrical Engineering, Hohai University, Nanjing
[2] Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing
来源
Pan, Wenxia (pwxhh@hhu.edu.cn) | 2018年 / Automation of Electric Power Systems Press卷 / 42期
基金
中国国家自然科学基金;
关键词
Doubly-fed induction generators (DFIG); Droop coefficient; Low-order system frequency response model; Primary frequency control ability; Quasi-steady-state frequency deviation; Small signal analysis;
D O I
10.7500/AEPS20170410001
中图分类号
学科分类号
摘要
Owing to the fact that the operating point on the de-loading power curve will shift when the actual rotor speed changed during the frequency droop control, doubly-fed induction generators (DFIG) cannot provide the desired primary frequency control ability. To solve this problem, firstly a novel low-order system frequency response model is established for distributed systems including DFIG and thermal generation unit based on the small signal analysis theory. And then the quantified formulas of the actual and desired primary frequency control abilities of DFIG are derived by using the proposed model. According to the derivation, this paper proposes that DFIG provide the desired primary frequency control ability after multiplying a reduction factor for the original set of droop coefficients. Finally, the capability of the proposed droop coefficient modification method is tested on an actual distributed system. The simulation results show that, with the proposed method, not only has the system quasi-steady-state frequency deviation reached the expectation level, but also the system maximum frequency deviation has further improved. © 2018 Automation of Electric Power Systems Press.
引用
收藏
页码:68 / 73and90
页数:7322
相关论文
共 17 条
  • [1] Morren J., De Haan S.W.H., Kling W.L., Et al., Wind turbines emulating inertia and supporting primary frequency control, IEEE Transactions on Power Systems, 21, 1, pp. 433-434, (2006)
  • [2] De Almeida R.G., Castronouvo E.D., Peas Lopes J.A., Optimum generation control in wind parks when carrying out system operator requests, IEEE Transactions on Power Systems, 21, 2, pp. 718-725, (2006)
  • [3] De Almeida R.G., Peas Lopes J.A., Participation of doubly fed induction wind generators in system frequency regulation, IEEE Transactions on Power Systems, 22, 3, (2007)
  • [4] Chang-Chien L.R., Lin W.T., Yin Y.C., Enhancing frequency response control by DFIGs in the high wind penetrated power systems, IEEE Transactions on Power Systems, 26, 2, pp. 710-718, (2011)
  • [5] Cao J., Wang H., Qiu J., Frequency control strategy of variable-speed constant-frequency doubly-fed induction generator wind turbines, Automation of Electric Power Systems, 33, 13, pp. 78-82, (2009)
  • [6] Zhang Z., Sun Y., Li G., Et al., Frequency regulation by doubly-fed generator wind turbines based on coordinated overspeed control and pitch control, Automation of Electric power Systems, 35, 11, pp. 20-25, (2011)
  • [7] Vidyanadan K.V., Senroy N., Primary frequency regulation by deloaded wind turbines using variable droop, IEEE Transactions on Power Systems, 28, 2, pp. 837-846, (2013)
  • [8] Pan W., Quan R., Wang F., A variable droop control strategy for doubly-fed induction generators, Automation of Electric Power Systems, 39, 11, pp. 126-131, (2015)
  • [9] Lin J., Li G., Sun Y., Et al., Small-signal analysis and control system parameter optimization for DFIG wind turbines, Automation of Electric Power Systems, 33, 5, pp. 86-90, (2009)
  • [10] Arani M.F.M., Ei-Saadany E.F., Implementing virtual inertia in DFIG-based wind power generation, IEEE Transactions on Power Systems, 28, 2, pp. 1373-1384, (2013)