Preventive Security-Constrained Optimal Power Flow Considering UPFC Control Modes

被引:13
|
作者
Wu, Xi [1 ]
Zhou, Zhengyu [1 ]
Liu, Gang [2 ]
Qi, Wanchun [2 ]
Xie, Zhenjian [2 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Jiangsu Elect Power Co Econ Res Inst, Nanjing 211102, Jiangsu, Peoples R China
关键词
UPFC; control mode; security-constrained; optimal power flow; ALGORITHM;
D O I
10.3390/en10081199
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
The successful application of the unified power flow controller (UPFC) provides a new control method for the secure and economic operation of power system. In order to make the full use of UPFC and improve the economic efficiency and static security of a power system, a preventive security-constrained power flow optimization method considering UPFC control modes is proposed in this paper. Firstly, an iterative method considering UPFC control modes is deduced for power flow calculation. Taking into account the influence of different UPFC control modes on the distribution of power flow after N-1 contingency, the optimization model is then constructed by setting a minimal system operation cost and a maximum static security margin as the objective. Based on this model, the particle swarm optimization (PSO) algorithm is utilized to optimize power system operating parameters and UPFC control modes simultaneously. Finally, a standard IEEE 30-bus system is utilized to demonstrate that the proposed method fully exploits the potential of static control of UPFC and significantly increases the economic efficiency and static security of the power system.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] An exact and scalable problem decomposition for security-constrained optimal power flow
    Velloso, Alexandre
    Van Hentenryck, Pascal
    Johnson, Emma S.
    ELECTRIC POWER SYSTEMS RESEARCH, 2021, 195
  • [22] Hybrid computation of corrective security-constrained optimal power flow problems
    Zhang, Rui
    Dong, Zhao Yang
    Xu, Yan
    Wong, Kit Po
    Lai, Mingyong
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2014, 8 (06) : 995 - 1006
  • [23] Benders decomposition algorithm for corrective security-constrained optimal power flow
    Zhong, Shimin
    Han, Xueshan
    Liu, Daowei
    Wang, Mengxia
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2011, 31 (01): : 65 - 71
  • [24] A Novel MOGNDO Algorithm for Security-Constrained Optimal Power Flow Problems
    Pandya, Sundaram B.
    Visumathi, James
    Mahdal, Miroslav
    Mahanta, Tapan K.
    Jangir, Pradeep
    ELECTRONICS, 2022, 11 (22)
  • [25] A distributionally robust chance constrained optimization approach for security-constrained optimal power flow problems considering dependent uncertainty of wind power
    Huang, Wenwei
    Qian, Tong
    Tang, Wenhu
    Wu, Jianzhong
    APPLIED ENERGY, 2025, 383
  • [26] Practical Applications of Preventive Security Constrained Optimal Power Flow
    Dong, Feng
    Huang, Lengcheng
    Lam, Baldwin P.
    Xu, Xiaokang
    2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [27] Parallel computation methods for static security-constrained optimal power flow of power system
    Yang Y.
    Tao Z.
    Liu H.
    Qin Z.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2019, 39 (01): : 99 - 105
  • [28] Corrective Security-Constrained Optimal Power and Gas Flow With Binding Contingency Identification
    Sun, Guoqiang
    Chen, Sheng
    Wei, Zhinong
    Cheung, Kwok W.
    Zang, Haixiang
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2020, 11 (02) : 1033 - 1042
  • [29] Security-Constrained Optimal Power Flow via Cross-Entropy Method
    Carvalho, Leonel de Magalhaes
    Leite da Silva, Armando Martins
    Miranda, Vladimiro
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (06) : 6621 - 6629
  • [30] Transferability-Oriented Adversarial Robust Security-Constrained Optimal Power Flow
    Zuo, Ke
    Sun, Mingyang
    Zhang, Zhenyong
    Cheng, Peng
    Strbac, Goran
    Kang, Chongqing
    IEEE TRANSACTIONS ON SMART GRID, 2024, 15 (05) : 5169 - 5181