Simulation of hydraulic power plant transients using neural networks

被引:2
|
作者
Bidini, G [1 ]
Mariani, F [1 ]
机构
[1] Univ Perugia, Ist Energet, I-06100 Perugia, Italy
关键词
transients simulation; hydraulic plant; artificial neural networks; advanced simulation techniques;
D O I
10.1243/0957650971537295
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this work the efficiency of the artificial neural network technology for evaluating the turbine speed and drain synchronous valve during the turn-off transient phase of an actual hydraulic power plant has been evaluated. These results have been achieved avoiding a detailed time consuming analysis of the power plant. Several net architectures have been set up and verified with regard to their response to this strongly non-linear problem.
引用
收藏
页码:393 / 398
页数:6
相关论文
共 50 条
  • [1] Identification of nuclear power plant transients with neural networks
    Embrechts, MJ
    Benedek, S
    [J]. SMC '97 CONFERENCE PROCEEDINGS - 1997 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: CONFERENCE THEME: COMPUTATIONAL CYBERNETICS AND SIMULATION, 1997, : 912 - 916
  • [2] Simulation of power plant transients with artificial neural networks: Application to an existing combined cycle
    Instituto di Energetica, Universita di Perugia, Perugia, Italy
    [J]. Proc. Inst. Mech. Eng. Part A J. Power Eng., 5 A5 (299-313):
  • [3] Simulation of power plant transients with artificial neural networks: application to an existing combined cycle
    Fantozzi, F
    Desideri, U
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY, 1998, 212 (A5) : 299 - 313
  • [4] Numerical simulation of hydraulic transients in hydropower plant using safety membranes
    Ni, FS
    Hu, PC
    Wang, QH
    [J]. JOURNAL OF HYDRAULIC ENGINEERING-ASCE, 1996, 122 (06): : 298 - 300
  • [5] Hybrid identification of nuclear power plant transients with artificial neural networks
    Embrechts, MJ
    Benedek, S
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2004, 51 (03) : 686 - 693
  • [6] Hybrid identification of unlabeled nuclear power plant transients with artificial neural networks
    Embrechts, MJ
    Benedek, S
    [J]. IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, 1998, : 1438 - 1443
  • [7] Numerical and field tests of hydraulic transients at Piva power plant
    Giljen, Z.
    [J]. 27TH IAHR SYMPOSIUM ON HYDRAULIC MACHINERY AND SYSTEMS (IAHR 2014), PTS 1-7, 2014, 22
  • [8] Efficient Simulation of Electromagnetic Transients in Power Networks
    Iracheta, R.
    Siller-Salas, F.
    Hasimoto-Beltran, R.
    Flores-Guzman, N.
    [J]. 2015 IEEE THIRTY FIFTH CENTRAL AMERICAN AND PANAMA CONVENTION (CONCAPAN XXXV), 2015,
  • [9] Wind Power Plant Prediction by Using Neural Networks
    Liu, Ziqiao
    Gao, Wenzhong
    Wan, Yih-Huei
    Muljadi, Eduard
    [J]. 2012 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2012, : 3154 - 3160
  • [10] Fault diagnosis in power plant using neural networks
    Simani, S
    Fantuzzi, C
    [J]. INFORMATION SCIENCES, 2000, 127 (3-4) : 125 - 136