Generation reliability assessment in oligopoly power market using monte carlo simulation

被引：0
|
作者：
Haroonabadi, H. [1 ]
Haghifam, M. -R. [2 ]
机构：
[1] Islamic Azad Univ, Islamshahr Branch, Dept Elect Engn, Tehran, Iran
[2] Tarbiat Modern Univ, Dept Elect Engn, Tehran 14115, Iran
来源：
PROCEEDINGS OF THE SEVENTH IASTED INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS | 2007年
关键词：
marketing; power generation reliability; Monte Carlo simulation;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. In this paper, generation reliability is considered, and a method for its assessment in the oligopoly market based on Cournot-Nash model is proposed. Monte Carlo simulation is used for reliability evaluation. Generation reliability, merely focuses on interaction between generation complex and load. Therefore, this paper using oligopoly market economic subjects in Cournot-Nash model, deals with offer curve of power plants and demand curve. Then from intersection of these curves and regarding to other parameters, reliability index is determined. The proposed method is assessed on IEEE-Reliability Test System with satisfactory results. In all cases, generation reliability indices are evaluated with different reserve margins and various load levels.
引用
收藏
页码：298 / +
页数：2
相关论文
共 50 条
  • [41] Reliability Assessment of Redundant Electrical Power Supply Systems using Fault Tree Analysis, Reliability Block Diagram, and Monte Carlo Simulation Methods
    Benabid, Rabah
    Merrouche, Djemai
    Bourenane, Aissa
    Alzbutas, Robertas
    PROCEEDINGS 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM), 2018, : 323 - 329
  • [42] A MONTE-CARLO METHOD FOR MULTIAREA GENERATION SYSTEM RELIABILITY ASSESSMENT
    BILLINTON, R
    LI, W
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1992, 7 (04) : 1487 - 1492
  • [43] Monte Carlo simulation of reliability for gear
    Mo Wenhui
    COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3, 2011, 268-270 : 42 - 45
  • [44] Power system reliability by sequential Monte Carlo simulation on multicomputer platforms
    Borges, CLT
    Falcao, DM
    VECTOR AND PARALLEL PROCESSING - VECPAR 2000, 2001, 1981 : 242 - 253
  • [45] PRACTICAL RELIABILITY ASSESSMENT FOR INTERNET OF THINGS BY MEANS OF MONTE CARLO SIMULATION
    Sarb, D.
    Bogdan, R.
    Pop, N.
    JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY, 2020, 21 (02): : 507 - 517
  • [46] 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
  • [47] Reliability evaluation for different power plant busbar layouts by using sequential Monte Carlo simulation
    Moazzami, M.
    Hemmati, R.
    Fesharaki, F. Haghighatdar
    Rad, S. Rafiee
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 53 : 987 - 993
  • [48] Reliability studies of Microstrip antennas using Monte Carlo simulation
    Babu, S
    Kumar, G
    IETE TECHNICAL REVIEW, 2001, 18 (01): : 51 - 56
  • [49] Estimating line segment reliability using Monte Carlo simulation
    Surv Land Inf Syst, 3 (136):
  • [50] RELIABILITY MODEL OF DIFFERENT WIND POWER PLANT CONFIGURATION USING SEQUENTIAL MONTE CARLO SIMULATION
    Topic, Danijel
    Sljivac, Damir
    Stojkov, Marinko
    EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2016, 18 (02): : 237 - 244
12345