Probabilistic Harmonic Resonance Assessment Considering Power System Uncertainties

被引:29
|
作者
Li, Zhaoyang [1 ]
Hu, Haitao [1 ]
Wang, Yang [2 ]
Tang, Li [1 ]
He, Zhengyou [1 ]
Gao, Shibin [1 ]
机构
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 611756, Sichuan, Peoples R China
[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada
基金
中国国家自然科学基金;
关键词
Harmonic resonance; probabilistic assessment; resonance mode analysis; system uncertainties; power iteration; MODAL-ANALYSIS; SENSITIVITY; LINES; MODEL;
D O I
10.1109/TPWRD.2018.2846608
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
The presence of power system uncertainties results in variations of the harmonic resonance behaviors. There is, therefore, a need to perform the probabilistic assessment in harmonic resonance study. In this paper, a systematic methodology for probabilistic harmonic resonance assessment considering power system uncertainties is presented. First, potential system uncertainties are analyzed and modeled. The stochastic behavior of harmonic resonance due to system uncertainties is then studied using both Monte Carlo approach and harmonic resonance mode analysis technique. A modified power iteration method is further used to efficiently reduce the calculation time. Three indices, including probabilistic expressions of 1) resonance frequency band, 2) modal impedances in the resonance band, and 3) sensitivity information at the bus-level and the element-level are used to represent the stochastic behaviors of harmonic resonance. In addition, the resonance mitigation scheme based on probabilistic resonance frequency band shift technique is described. The effectiveness of the proposed method is demonstrated through case studies in an uncertain power system. Its potential applications are also discussed.
引用
收藏
页码:2989 / 2998
页数:10
相关论文
共 50 条
  • [1] Probabilistic transient stability assessment of power system considering wind power uncertainties and correlations
    Yue, Ziyuan
    Liu, Yanli
    Yu, Yixin
    Zhao, Junbo
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 117 (117)
  • [2] Passive Harmonic Filter Planning in a Power System With Considering Probabilistic Constraints
    Chang, Gary W.
    Wang, Hung-Lu
    Chuang, Gen-Sheng
    Chu, Shou-Yung
    IEEE TRANSACTIONS ON POWER DELIVERY, 2009, 24 (01) : 208 - 218
  • [3] Probabilistic seismic assessment of structures considering soil uncertainties
    Hamidpour, Sara
    Soltani, Masoud
    Shabdin, Mojtaba
    EARTHQUAKES AND STRUCTURES, 2017, 12 (02) : 165 - 175
  • [4] An Assessment Approach of the Power System Vulnerability Considering the Uncertainties of Wind Power Integration
    Han, Haiteng
    Wu, Chen
    Gao, Shan
    Zu, Guoqiang
    2018 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2018, : 741 - 745
  • [5] Optimal Placement Method for Harmonic Resonance Monitoring Points Considering Uncertainties of System Parameters
    Jiang H.
    Xu Y.
    He Z.
    Tao S.
    Chang X.
    Wang J.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2021, 45 (23): : 141 - 151
  • [6] Vulnerability Analysis of Power System Considering Probabilistic Risk Assessment
    Wang, Yueyuan
    Cao, Bin
    Zhang, Xiuqi
    PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON NEW ENERGY AND ELECTRICAL TECHNOLOGY, 2023, 1017 : 575 - 585
  • [7] Probabilistic Risk-Based Security Assessment of Power Systems Considering Incumbent Threats and Uncertainties
    Ciapessoni, Emanuele
    Cirio, Diego
    Kjolle, Gerd
    Massucco, Stefano
    Pitto, Andrea
    Sforna, Marino
    IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (06) : 2890 - 2903
  • [8] Probabilistic Voltage Stability Assessment Considering Load and Wind Uncertainties
    Alzubaidi, Mohammad
    Hasan, Kazi N.
    Meegahapola, Lasantha
    Rahman, Mir Toufikur
    2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2021,
  • [9] Probabilistic Assessment of Net Transfer Capacity Considering Forecast Uncertainties
    Adinolfi, F.
    Massucco, S.
    Saviozzi, M.
    Silvestro, F.
    Ciapessoni, E.
    Cirio, D.
    Pitto, A.
    2016 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC), 2016,
  • [10] Probabilistic Congestion Management Considering Power System Uncertainties Using Chance-constrained Programming
    Hojjat, Mehrdad
    Javidi D. B., M. Hossein
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2013, 41 (10) : 972 - 989