A Methodology for Evaluation of Operational Zones for Distributed Generation Based on DFIG

被引:0
|
作者
Gutierrez, Luis Alejandro [1 ]
Salles, Mauricio B. C. [1 ]
Sguarezi, Alfeu J. [1 ]
Grilo, Ahda P. [1 ]
Cardoso, Jose R. [1 ]
Miceli, Rosario [2 ]
机构
[1] Univ Sao Paulo, Polytech Sch, Lab Adv Elect Grids LGrid, Sao Paulo, Brazil
[2] Univ Palermo UNIPA, Dept Elect Elect & Telecommun Engn, Palermo, Italy
关键词
Distributed generation; doubly fed induction generator; operational maps; wind generation; WIND TURBINES; VOLTAGE; STABILITY;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study developed a methodology to determine zones of acceptable voltage profiles for wind power generation connected to distribution systems. Three load profiles (residential, commercial and industrial) connected to the distribution network were analyzed considering the impact on voltage levels and steady-state stability for different wind speeds and wind generator control strategies. The wind generator model is based on doubly fed induction generator (DFIG) and were developed using Matlab/Simulink. The presented methodology can be used to map the impact on operation of different types of control, the time of day and the available wind speed and it is not limited only for DFIG. The results have shown that the methodology helps to find zones were the combination of wind speed, load demand and control strategy can lead the system to voltage levels outside the standard limits. The determination of these zones of inoperability helps the utilities to avoid and prevent the system from fail.
引用
下载
收藏
页码:712 / 718
页数:7
相关论文
共 50 条
  • [31] Methodology evaluation framework for dynamic evolution in composition-based distributed applications
    Fung, Kam Hay
    Low, Graham Cedric
    JOURNAL OF SYSTEMS AND SOFTWARE, 2009, 82 (12) : 1950 - 1965
  • [32] Islanding of Systems of Distributed Generation using Optimization Methodology
    Wang, Minnan
    Zhong, Jin
    2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [33] Methodology for voltage adequacy using photovoltaic distributed generation
    Cararo, Josd A. G.
    Silva, Alan H. F.
    Caetano Neto, Joao
    Reis, Marcio R. C.
    Calixto, Wesley P.
    2019 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2019 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2019,
  • [34] Development and performance evaluation of a methodology, based on distributed computing, for speeding EnergyPlus simulation
    Garg, Vishal
    Chandrasen, Kshitij
    Mathur, Jyotirmay
    Tetali, Surekha
    Jawa, Akshey
    JOURNAL OF BUILDING PERFORMANCE SIMULATION, 2011, 4 (03) : 257 - 270
  • [35] A GSPN based methodology for the evaluation of concurrent applications in distributed plant automation systems
    Botti, O
    Capra, L
    JOURNAL OF SYSTEMS ARCHITECTURE, 1996, 42 (6-7) : 503 - 530
  • [36] Reliability assessment methodology for distribution systems with distributed generation
    Duttagupta, Suchismita S.
    Singh, Chanan
    2006 POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-9, 2006, : 3033 - +
  • [37] An evaluation method of distributed generation credible capacity based on island partition
    Chen Jiahao
    Sun Bing
    Li Yunfei
    Jing Ruipeng
    Zeng Yuan
    Li Minghao
    ENERGY REPORTS, 2022, 8 : 11271 - 11287
  • [38] Evaluation of Islanding Detection Techniques for Inverter-Based Distributed Generation
    Faqhruldin, Omar N.
    El-Saadany, E. F.
    Zeineldin, H. H.
    2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [39] Reliability evaluation of distribution system with distributed generation based on Islanding algorithm
    Wang, Guoquan
    Liu, Zongqi
    Liu, Nian
    Zhang, Jianhua
    2008 THIRD INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1-6, 2008, : 2697 - 2701
  • [40] Reliability evaluation based on network simplification for the distribution system with distributed generation
    Wang, Xudong
    Lin, Jikeng
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2010, 34 (04): : 38 - 43