Probabilistic optimal power flow

被引：0
|
作者：
Madrigal, M [1 ]
Ponnambalam, K [1 ]
Quintana, VH [1 ]
机构：
[1] Univ Waterloo, Waterloo, ON N2L 3G1, Canada
来源：
UNIVERSITY AND INDUSTRY - PARTNERS IN SUCCESS, CONFERENCE PROCEEDINGS VOLS 1-2 | 1998年
关键词：
D O I：
暂无
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：
This paper presents a new formulation and solution approach to a Probabilistic Optimal Pourer Flour (POPF) problem. In this formulation, system demand is taken as a random vector of correlated variables, which allows us to consider the dependence between load types and locations. The POPF is clearly formulated and the optimality conditions are considered as a general nonlinear probabilistic transformation. A. First-Order Second-Moment Method (FOSMM) is used to find their statistical characteristics. Computer results, and their comparisons to Monte Carlo Simulation (MCS) approach, demonstrate the accuracy of our proposed methodology.
引用
收藏
页码：385 / 388
页数：4
相关论文
共 50 条
  • [1] Nonparametric Probabilistic Optimal Power Flow
    Li, Yunyi
    Wan, Can
    Chen, Dawei
    Song, Yonghua
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2022, 37 (04) : 2758 - 2770
  • [2] Comparison between Probabilistic Optimal Power Flow and Probabilistic Power Flow with Carbon Emission Consideration
    Zhang, Haotian
    Lai, Chun Sing
    Xu, Fangyuan
    Lai, Loi Lei
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 2015, : 647 - 652
  • [3] Probabilistic Optimal Power Flow for Balanced Islanded Microgrids
    Peres, Wesley
    [J]. IEEE LATIN AMERICA TRANSACTIONS, 2023, 21 (01) : 167 - 174
  • [4] Toward Fast Calculation of Probabilistic Optimal Power Flow
    Lin, Wei
    Yang, Zhifang
    Yu, Juan
    Bao, Shiyuan
    Dai, Wei
    [J]. 2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,
  • [5] Probabilistic Optimal Power Flow using Unscented Transformation
    Qiao, C.
    Livani, H.
    Fadali, M. Sami
    [J]. 2015 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2015,
  • [6] Probabilistic analysis for optimal power flow under uncertainty
    Zhang, H.
    Li, P.
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2010, 4 (05) : 553 - 561
  • [7] Optimal power flow using probabilistic load model
    Shukla, M
    Radman, G
    [J]. Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, 2005, : 439 - 442
  • [8] Probabilistic optimal power flow applications to electricity markets
    Verbic, Gregor
    Schellenberg, Antony
    Rosehart, William
    Canizares, Claudio A.
    [J]. 2006 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS, VOLS 1 AND 2, 2006, : 348 - 353
  • [9] Toward Fast Calculation of Probabilistic Optimal Power Flow
    Lin, Wei
    Yang, Zhifang
    Yu, Juan
    Bao, Shiyuan
    Dai, Wei
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (04) : 3286 - 3288
  • [10] Data clustering based probabilistic optimal power flow in power systems
    Galvani, Sadjad
    Choogan, Mahmoud
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (02) : 181 - 188
12345