Application of differential evolution algorithm for transient stability constrained optimal power flow

被引:172
作者
Cai, H. R. [1 ]
Chung, C. Y. [1 ]
Wong, K. P. [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Elect Engn, CIARLab, Hong Kong, Hong Kong, Peoples R China
关键词
differential evolution; optimal power flow; parallel computation; power system operation; power system transient stability;
D O I
10.1109/TPWRS.2008.919241
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
Consideration of transient stability constraints in optimal power flow (OPF) problems is increasingly important because modern power systems tend to operate closer to stability boundaries due to the rapid increase of electricity demand and the deregulation of electricity markets. Transient stability constrained OPF (TSCOPF) is however a nonlinear optimization problem with both algebraic and differential equations, which is difficult to be solved even for small power systems. This paper develops a robust and efficient method for solving TSCOPF problems based on differential evolution (DE), which is a new branch of evolutionary algorithms with strong ability in searching global optimal solutions of highly nonlinear and nonconvex problems. Due to the flexible properties of DE mechanism, the hybrid method for transient stability assessment, which combines time-domain simulation and transient energy function method, can be employed in DE so that the detailed dynamic models of the system can be incorporated. To reduce the computational burden, several strategies are proposed for the initialization, assessment and selection of solution individuals in evolution process of DE. Numerical tests on the WSCC three-generator, nine-bus system and New England ten-generator, 39-bus system have demonstrated the robustness and effectiveness of the proposed approach. Finally, in order to deal with the large-scale system and speed up the computation, DE is parallelized and implemented on a Beowulf PC-cluster. The effectiveness of the parallel DE approach is demonstrated by simulations on the 17-generator, 162-bus system.
引用
收藏
页码:719 / 728
页数:10
相关论文
共 20 条
[1]  
[Anonymous], 1992, Power System Transient Stability Analysis Using the Transient Energy Function Method
[2]   Optimal power flow by enhanced genetic algorithm [J].
Bakirtzis, AG ;
Biskas, PN ;
Zoumas, CE ;
Petridis, V .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2002, 17 (02) :229-236
[3]  
Bell G, 2002, BEOWULF CLUSTER COMP
[4]   Optimal operation solutions of power systems with transient stability constraints [J].
Chen, LN ;
Tada, Y ;
Okamoto, H ;
Tanabe, R ;
Ono, A .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 2001, 48 (03) :327-339
[5]  
Corne D, 1999, NEW IDEAS OPTIMIZATI, P102
[6]   Stability-constrained optimal power flow [J].
Gan, DQ ;
Thomas, RJ ;
Zimmerman, RD .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2000, 15 (02) :535-540
[7]  
Gropp W. D., 1994, Using MPI-Portable Parallel Programming with the Message -Parsing Interface
[8]  
Layden D., 2004, P IEEE POW ENG SOC G, V1
[9]   HYBRID TRANSIENT STABILITY ANALYSIS [J].
MARIA, GA ;
TANG, C ;
KIM, J .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1990, 5 (02) :384-393
[10]   A review of selected optimal power flow literature to 1993 part II: Newton, linear programming and interior point methods. [J].
Momoh, JA ;
El-Hawary, ME ;
Adapa, R .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1999, 14 (01) :105-111