Dynamic Optimization Based Reactive Power Planning to Mitigate Slow Voltage Recovery and Short Term Voltage Instability

被引:105
作者
Paramasivam, Magesh [1 ]
Salloum, Ahmed [2 ]
Ajjarapu, Venkataramana [1 ]
Vittal, Vijay [2 ]
Bhatt, Navin B. [3 ]
Liu, Shanshan [3 ]
机构
[1] Iowa State Univ, Dept Elect & Comp Engn, Ames, IA 50011 USA
[2] Arizona State Univ, Sch Elect Comp & Energy Engn, Tempe, AZ 85287 USA
[3] Elect Power Res Inst EPRI, Loveland, OH USA
关键词
Dynamic optimization; nonlinear programming; power system dynamics; power system planning; reactive power; SVC;
D O I
10.1109/TPWRS.2013.2271260
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
Short term voltage stability poses a significant threat to system stability and reliability. This paper applies dynamic VAr injection to ensure short term voltage stability following a large disturbance in a power system with high concentration of induction motor loads. Decelerating and stalling of induction motor loads is considered to be the major cause of fault induced delayed voltage recovery (FIDVR) and short term voltage stability. If system dynamics are not taken into account properly, the proposed control solution may be an expensive over design or an under design that is not capable of eliminating FIDVR problems completely. In this work, the optimal amount and locations for installing dynamic reactive resources are found by control vector parameterization (CVP), a dynamic optimization approach. The efficiency and effectiveness of this approach is improved by utilizing results from trajectory sensitivity analysis, singular value decomposition and linear programming optimization. Dynamic optimization based on CVP approach is tested in an IEEE 162-bus system and a realistic large scale utility power system.
引用
收藏
页码:3865 / 3873
页数:9
相关论文
共 24 条
  • [1] [Anonymous], 2009, TECHN REF PAP FAULT
  • [2] A Novel Online Load Shedding Strategy for Mitigating Fault-Induced Delayed Voltage Recovery
    Bai, Hua
    Ajjarapu, Venkataramana
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (01) : 294 - 304
  • [3] Retrospective on optimization
    Biegler, LT
    Grossmann, IE
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2004, 28 (08) : 1169 - 1192
  • [4] Bravo R., 2010, Load modeling transmission research
  • [5] Byrd RH, 2006, NONCONVEX OPTIM, V83, P35
  • [6] Global mixed-integer dynamic optimization
    Chachuat, B
    Singer, AB
    Barton, PI
    [J]. AICHE JOURNAL, 2005, 51 (08) : 2235 - 2253
  • [7] de Leon JAD, 2002, 2002 IEEE POWER ENGINEERING SOCIETY SUMMER MEETING, VOLS 1-3, CONFERENCE PROCEEDINGS, P745, DOI 10.1109/PESS.2002.1043412
  • [8] Kirk D.E., 2004, Optimal Control Theory: an Introduction
  • [9] Krishnan V, 2009, P IEEE PES POW SYST, P1, DOI DOI 10.1109/PSCE.2009.4839926
  • [10] Lu N, 2009, IEEE POW ENER SOC GE, P4620