Distribution Network simulation method based on a combination of Dynamic Power-Flow Simulation and Electro-Magnetic Simulation

被引:0
|
作者
Arrinda, J. [1 ]
Barrena, J. A. [1 ,2 ]
Rodriguez, M. A. [2 ]
机构
[1] Mondragon Unibertsitatea, Dept Power Elect, Calle Loramendi 4, Arrasate Mondragon 20500, Gipuzkoa, Spain
[2] Parque Tecn Bizkaia, Bizkaia, Spain
来源
关键词
Modeling; Power systems; Voltage control; DMS and Distributed generation; RECONFIGURATION; ALGORITHM;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays the control and management of the distribution networks are gaining importance due to the increase of the distributed generation (DG) connected to this networks and the increased level of automation of them. Moreover, the distribution network operators (DNOs) are changing their operation method trying to optimize the network operation due to the directives of different governments boosting the energy efficiency. DNOs have to optimally control a network where there are generators and loads connected, so the control strategies have to change because until now the distribution network has been composed by loads and voltage control devices only. Therefore the simulation tools have to be able to simulate the power systems, integrating these new control strategies and distributed generators. In this paper a simulation method based on a numerical computational tool is proposed, that allows to simulate this distribution networks in a modular and simple way. This proposed method allows a simple implementation of different user defined controls as centralized voltage control, Fault detection isolation and service restoration (FDISR) control or optimal switching control. Finally, the proposed simulation method is verified by simulation in a test network.
引用
收藏
页码:1335 / 1342
页数:8
相关论文
共 50 条
  • [31] Power Data Network Dynamic Simulation Platform
    Guo, Qian
    Bao, Xingchuan
    Feng, Gu
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNIQUES AND ENGINEERING APPLICATION, ICSCTEA 2013, 2014, 250 : 33 - 41
  • [32] Development of a Practical Electro-Magnetic Interference (EMI) Simulation in High Speed Optical Transceivers
    Oomori, Hiroyasu
    Shiozaki, Manabu
    Kurashima, Hiromi
    2009 IEEE 59TH ELECTRONIC COMPONENTS AND TECHNOLOGY CONFERENCE, VOLS 1-4, 2009, : 1908 - 1913
  • [33] Method based on network flow simulation for sneak circuit analysis
    Zou, Tao
    Ma, Qishuang
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2012, 38 (04): : 546 - 550
  • [34] Optimum Configuration of SI/PI Co-Simulation using Electro-Magnetic Simulator
    Umekawa, Mitsuharu
    2015 International Conference on Electronic Packaging and iMAPS All Asia Conference (ICEP-IAAC), 2015, : 890 - 893
  • [35] DSLIM Design, Modelling & Simulation of Electro-Magnetic Launch System for medium weight UAV
    Gupta, Kamal
    Kumar, Arbind
    2022 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS, PEDES, 2022,
  • [36] Electromagnetic transient simulation studies of sinusoidal PWM unified power-flow controllers
    Song, YH
    Liu, JY
    EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 1998, 8 (03): : 187 - 192
  • [37] Numerical Simulation and Experimental Research on MAG Surfacing Deposited with Electro-Magnetic Stirring Controlling
    Zhao, Guoji
    Luo, Qian
    Wang, Xiangjie
    Luo, Jian
    DIGITAL DESIGN AND MANUFACTURING TECHNOLOGY, PTS 1 AND 2, 2010, 102-104 : 407 - +
  • [38] The Dynamic Simulation Model and Parameter Identification Method of DFIG Type Wind Generator for power system electro-mechanic simulation
    Hou Junxian
    Tao Xiangyu
    Zhang Shi
    Shen Hong
    Tang Haiyan
    Liu Tao
    Zi Peng
    2014 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (IEEE PES APPEEC), 2014,
  • [39] Research on surface flow dynamic simulation and parallelization based on flow path network
    Wu Q.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2024, 53 (01): : 199
  • [40] A Fast Dynamic Simulation Method of an Active Distribution Network with Distributed Generations Based on Decomposition and Coordination
    Liu, Keyan
    Ye, Xueshun
    Kang, Tianyuan
    Li, Zhao
    Jia, Dongli
    ENERGIES, 2024, 17 (02)