ANALYSIS OF WIND PENETRATION AND NETWORK RELIABILITY THROUGH MONTE CARLO SIMULATION

被引:0
|
作者
Anderson, C. L. [1 ]
Cardell, J. B. [2 ]
机构
[1] Cornell Univ, Dept Biol & Environm Engn, Ithaca, NY 14850 USA
[2] Smith Coll, Picker Engn Program, Northampton, MA 01063 USA
关键词
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
Generating electricity from wind resources has many environmental and economic advantages over traditional fossil-fueled generation. As a result, there is little doubt that energy from wind will be a significant contribution to the electricity portfolio of the future. Due to the sensitivity of the network and the volatility of the wind resource, analysis of power system operations using expected wind generation is not representative of actual system operations. In order to account for this fundamental uncertainty in wind generation, a Monte Carlo simulation model is developed based on an Optimal Power Flow model, and tested on the IEEE 39-bus test system. The results of these simulations indicate that while the average cost of serving load decreases with increasing wind penetration, the reliability of the system is highly sensitive to the ability of other generators on the system to ramp production either up or down on very short timescales.
引用
收藏
页码:1483 / +
页数:2
相关论文
共 50 条
  • [11] Reliability Probability Evaluation of Wind Turbine Based on Monte-Carlo Simulation
    Jiang Cheng
    Zhang Jianhua
    Yu Lei
    2012 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2012,
  • [12] PARALLEL IMPLEMENTATION AND SIMULATION OF NETWORK RELIABILITY CALCULATION BY MONTE CARLO METHOD
    Migov, D. A.
    Weins, D., V
    VESTNIK TOMSKOGO GOSUDARSTVENNOGO UNIVERSITETA-UPRAVLENIE VYCHISLITELNAJA TEHNIKA I INFORMATIKA-TOMSK STATE UNIVERSITY JOURNAL OF CONTROL AND COMPUTER SCIENCE, 2019, (47): : 66 - 74
  • [13] Implementation of Monte Carlo Simulation to the Distribution Network for Its Reliability Assessment
    Pradhan, Ajoya Kumar
    Kar, Sanjeeb Kumar
    Shill, Pradeep Kumar
    Dash, Pujashree
    INNOVATION IN ELECTRICAL POWER ENGINEERING, COMMUNICATION, AND COMPUTING TECHNOLOGY, IEPCCT 2019, 2020, 630 : 219 - 228
  • [14] Reliability Evaluation of Distribution Network Based on Sequential Monte Carlo Simulation
    Lu, Qi
    Hua, Yujie
    Shen, Ye
    Kang, Qi
    Zhang, Rong
    2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015), 2015, : 1170 - 1174
  • [15] Monte Carlo simulation of reliability for gear
    Mo Wenhui
    COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3, 2011, 268-270 : 42 - 45
  • [16] Monte Carlo simulation and reliability analysis on the deformation of foundation pit
    Yang, Linde
    Xu, Chao
    Yantu Lixue/Rock and Soil Mechanics, 1999, 20 (01): : 15 - 18
  • [17] Reliability Analysis With Monte Carlo Simulation and Dependent Kriging Predictions
    Zhu, Zhifu
    Du, Xiaoping
    JOURNAL OF MECHANICAL DESIGN, 2016, 138 (12)
  • [18] Hamiltonian Monte Carlo methods for Subset Simulation in reliability analysis
    Wang, Ziqi
    Broccardo, Marco
    Song, Junho
    STRUCTURAL SAFETY, 2019, 76 (51-67) : 51 - 67
  • [19] Reliability analysis of corroding pipelines by enhanced Monte Carlo simulation
    Leira, Bernt J.
    Naess, Arvid
    Naess, Ole E. Brandrud
    INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 2016, 144 : 11 - 17
  • [20] Reliability evaluation of heterogeneous simulation network with imperfect vertice using Monte Carlo simulation
    Wang Y.
    Peng W.
    Dong Z.
    Zhang Z.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2020, 42 (08): : 1873 - 1880