Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources

被引：11
|
作者：
Chen, Pengwei [1 ]
Xiao, Xiangning [2 ]
Wang, Xuhui [3 ]
机构：
[1] North China Elect Power Univ, Beijing, Peoples R China
[2] North China Elect Power Univ, Elect Engn, Beijing, Peoples R China
[3] Hefei Univ Technol, Sch Math, Hefei, Anhui, Peoples R China
来源：
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY | 2019年 / 7卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Active distribution network; Optimal power flow; Interval uncertainty; Affine arithmetic; Second-order cone programming; DISTRIBUTION-SYSTEMS; CONVEX RELAXATION; MANAGEMENT; SOLVE;
D O I：
10.1007/s40565-018-0462-9
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：
Optimal power flow (OPF) has been used for energy dispatching in active distribution networks. To satisfy constraints fully and achieve strict operational bounds under the uncertainties from loads and sources, this paper derives an interval optimal power flow (I-OPF) method employing affine arithmetic and interval Taylor expansion. An enhanced I-OPF method based on successive linear approximation and second-order cone programming is developed to improve solution accuracy. The proposed methods are benchmarked against Monte Carlo simulation (MCS) and stochastic OPF. Tests on a modified IEEE 33-bus system and a real 113-bus distribution network validate the effectiveness and applicability of the proposed methods.
引用
收藏
页码：139 / 150
页数：12
相关论文
共 50 条
  • [1] Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources
    Pengwei CHEN
    Xiangning XIAO
    Xuhui WANG
    Journal of Modern Power Systems and Clean Energy, 2019, 7 (01) : 139 - 150
  • [2] Dynamic optimal power flow model incorporating interval uncertainty applied to distribution network
    Chen, Pengwei
    Xiao, Xiangning
    Wang, Xuhui
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (12) : 2926 - 2936
  • [3] Optimal Power Flow with Voltage-Sensitive Loads in Distribution Networks
    Cerbantes, Marcel Chuma
    Sanches Mantovani, Jose Roberto
    Fernandez-Blanco, Ricardo
    Ortega-Vazquez, Miguel A.
    2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM), 2016,
  • [4] A hybrid optimal power flow model for transmission and distribution networks
    Nezhad, Ali Esmaeel
    Nardelli, Pedro H. J.
    Javadi, Mohammad Sadegh
    Jowkar, Saeid
    Sabour, Toktam Tavakkoli
    Ghanavati, Farideh
    ELECTRIC POWER SYSTEMS RESEARCH, 2025, 245
  • [5] Optimal Power Flow Solution Including Stochastic Renewable Resources
    Daqaq, Fatima
    Ouassaid, Mohamed
    Ellaia, Rachid
    Zeine, Ahmed Tchvagha
    2018 6TH INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC), 2018, : 643 - 648
  • [6] Optimal power flow with renewable energy resources including storage
    S. Surender Reddy
    Electrical Engineering, 2017, 99 : 685 - 695
  • [7] Optimal power flow with renewable energy resources including storage
    Reddy, S. Surender
    ELECTRICAL ENGINEERING, 2017, 99 (02) : 685 - 695
  • [8] Reactive power optimization under interval uncertainty of renewable power generation based on a security limits method
    Zhang, Cong
    Liu, Qian
    Huang, Sheng
    Zhou, Bin
    Cheng, Long
    Gao, Lin
    Li, Jiayong
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 130
  • [9] Two-Stage Stochastic Optimization for Optimal Power Flow Under Renewable Generation Uncertainty
    Dzung Phan
    Ghosh, Soumyadip
    ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION, 2014, 24 (01):
  • [10] Algorithms for Optimal Power Flow Extended to Controllable Renewable Systems and Loads
    Reyes, Elkin D.
    Rivera, Sergio
    ALGORITHMS, 2021, 14 (10)
12345