Nodal probabilistic production cost simulation considering transmission system unavailabilty

被引:6
|
作者
Choi, J. [1 ]
Tran, T. [1 ]
Kwon, J. [1 ]
Thomas, R. [2 ]
Mount, T. [3 ]
Billinton, R. [4 ]
机构
[1] Gyeongsang Natl Univ, Dept Elect Engn, Jinju, South Korea
[2] Cornell Univ, Dept Elect & Comp Engn, Ithaca, NY 14850 USA
[3] Cornell Univ, Sch Appl Econ & Management, Ithaca, NY 14850 USA
[4] Univ Saskatchewan, Dept Elect & Comp Engn, Saskatoon, SK, Canada
关键词
D O I
10.1049/iet-gtd:20060393
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A nodal probabilistic production cost simulation method is described for power system long-term expansion planning considering unavailability and delivery limitation constraints of the transmission system. This new nodal production cost simulation model includes capacity constraints and unavailabilities of generators as well as transmission lines. This simulation methodology comes from the nodal composite power system equivalent load duration curve (CMELDC), based on a new effective load model at load points developed by the authors. The nodal CMELDC can be obtained from convolution integral processing of the outage capacity probability distribution function of the fictitious generator and the original LDC. It is expected that the new simulation model based on the nodal CMELDC proposed here will provide solutions to many problems based on nodal and decentralised operation and control of electric power systems under a competition environment. The nodal CMELDC based on the new model at load points can extend application areas of nodal probabilistic production cost simulation, probabilistic congestion cost assessment, analytical outage cost assessment and nodal reliability evaluation and so on at load points. The characteristics and effectiveness of this new proposed methodology are illustrated by a small system case study using a network flow and enumeration method.
引用
收藏
页码:32 / 42
页数:11
相关论文
共 50 条
  • [1] Nodal probabilistic production cost simulation of composite power system
    Choi, Jaeseok
    Mount, Timothy
    Thomas, Robert
    2006 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION. VOLS 1-5, 2006, : 846 - +
  • [2] Studies on Algorithms of Power System Probabilistic Production Simulation Considering Wind Farms
    Lei, Jia
    Chen, Haoyong
    Wan, Chulin
    Ge, Hailin
    Wang, Zhongfu
    2014 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (IEEE PES APPEEC), 2014,
  • [3] Transmission system expansion planning considering expected stand-by cost based on probabilistic approach
    Choi, Jaeseok
    Mount, Timothy
    Thomas, Robert
    2006 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION. VOLS 1-5, 2006, : 1498 - +
  • [4] COMPARISON OF PROBABILISTIC PRODUCTION COST SIMULATION METHODS
    LIN, M
    BREIPOHL, A
    LEE, F
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1989, 4 (04) : 1326 - 1334
  • [5] Power system probabilistic production simulation considering constraints of tie line power flows
    Feng, C. (xjtufcy@gmail.com), 1600, Power System Technology Press (37):
  • [6] Linearized segmentation method for probabilistic production cost simulation
    Fulop, J.
    Prill, M.
    Applied Ocean Research, 2000, 22 (04) : 471 - 481
  • [7] Linearized segmentation method for probabilistic production cost simulation
    Fülöp, J
    Prill, M
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2000, 22 (07) : 471 - 481
  • [8] The Probabilistic Production Simulation for Renewable Energy Power System Considering the Operation of Cascade Hydropower Stations
    Jiang, Jiheng
    Qiao, Ying
    Lu, Zongxiang
    2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 331 - 338
  • [9] Reliability Assessment and Outage Cost of the Korean Power System Using the Probabilistic Simulation Considering Natural Disaster
    Semin Jeong
    Ungjin Oh
    Jaeseok Choi
    Yosuke Nakanishi
    Journal of Electrical Engineering & Technology, 2022, 17 : 237 - 249
  • [10] Reliability Assessment and Outage Cost of the Korean Power System Using the Probabilistic Simulation Considering Natural Disaster
    Jeong, Semin
    Oh, Ungjin
    Choi, Jaeseok
    Nakanishi, Yosuke
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2022, 17 (01) : 237 - 249