Temperature-Dependent Optimal Power Flow Based on Simplified Interior Point Method

被引：0
|
作者：
Gao, Qin [1 ]
Wei, Zhinong [1 ]
Sun, Guoqiang [1 ]
Sun, Yonghui [1 ]
Zang, Haixiang [1 ]
机构：
[1] Hohai Univ, Coll Energy & Elect Engn, Nanjing, Jiangsu, Peoples R China
来源：
2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015) | 2015年
关键词：
electric power system; optimal power flow; electrothermal coordination; simplified interior point method; ELECTROTHERMAL COORDINATION;
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：
In this paper, a novel temperature-dependent optimal power flow (TDOPF) is proposed to improve conventional optimal power flow (OPF). In conventional OPF, the resistance of branches is assumed to be constant and temperature effects on line resistance has been neglected, which will result in a great deviation with actual operation situation. Based on the weak coupling property of electrical and thermal variables, the de coupled TDOPF is proposed to improve the efficiency of TDOPF algorithm. All the OPF algorithms are sufficiently solved by a novel simplified primal-dual interior point method. Finally, it is shown by the numerical simulation results that the proposed TDOPF and its decoupling algorithm are available and effective.
引用
收藏
页码：765 / 769
页数：5
相关论文
共 50 条
  • [21] Security constrained optimal power flow based on nonlinear interior point method part two implementation
    State Key Lab. of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
    Dianli Xitong Zidonghue, 2007, 20 (6-11):
  • [22] Interior-point based algorithms for the solution of optimal power flow problems
    Capitanescu, Florin
    Glavic, Mevludin
    Ernst, Damien
    Wehenkel, Louis
    ELECTRIC POWER SYSTEMS RESEARCH, 2007, 77 (5-6) : 508 - 517
  • [23] Dynamic optimal power flow with decomposed predictor-corrector interior point method
    Liu, Fang
    Yan, Wei
    Xu, Guoyu
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2007, 31 (14): : 38 - 42
  • [24] A Enhanced Multiple Predictor-Corrector Interior Point Method for Optimal Power Flow
    Xie, Liang
    Chiang, Hsiao-Dong
    IEEE POWER AND ENERGY SOCIETY GENERAL MEETING 2010, 2010,
  • [25] Weighted Multiple Predictor-corrector Interior Point Method for Optimal Power Flow
    Xie, Liang
    Chiang, Hsiao-Dong
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2011, 39 (02) : 99 - 112
  • [26] A hybrid genetic algorithm-interior point method for optimal reactive power flow
    Yan, Wei
    Liu, Fang
    Chung, C. Y.
    Wong, K. P.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (03) : 1163 - 1169
  • [27] Decomposed Predictor-Corrector Interior Point Method for Dynamic Optimal Power Flow
    Chung, C. Y.
    Yan, Wei
    Liu, Fang
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (03) : 1030 - 1039
  • [28] Optimal power flow with time-related constraints by a nonlinear interior point method
    Xie, K
    Song, YH
    2000 IEEE POWER ENGINEERING SOCIETY WINTER MEETING - VOLS 1-4, CONFERENCE PROCEEDINGS, 2000, : 1751 - 1759
  • [29] Nonlinear Weighted Multiple Centrality Corrections Interior Point Method for Optimal Power Flow
    Huang, Zhiguang
    Jiang, Quanyuan
    2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4, 2009, : 2764 - 2769
  • [30] Temperature Dependent Optimal Power Flow
    Ghosh, Anwesha
    Mukherjee, Vivekananda
    PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ADVANCEMENTS IN POWER AND ENERGY (TAP ENERGY): EXPLORING ENERGY SOLUTIONS FOR AN INTELLIGENT POWER GRID, 2017,
12345