A fast adaptive MOEA and its application to dynamic reactive power optimization

ICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings

Volumn 4, Issue , 2010, Pages

  Zhu, Yi ^a   Zhang, Anan ^b  

^a CHENGDU UNIVERSITY OF INFORMATION TECHNOLOGY   (China)

^b SICHUAN UNIVERSITY   (China)

Author keywords

domination; Dynamic reactive power optimization; MOEA; Multi objective

Indexed keywords

COMPUTING COMPLEXITY; DYNAMIC REACTIVE POWER OPTIMIZATION; ELECTRICAL SYSTEMS; IEEE-30 BUS TEST SYSTEMS; INITIAL SOLUTION; MOEA; MULTI OBJECTIVE; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; NUMERICAL SIMULATION; OPTIMIZATION PROBLEMS;

EVOLUTIONARY ALGORITHMS; REACTIVE POWER;

MULTIOBJECTIVE OPTIMIZATION;

EID: 77958026733     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCET.2010.5485678     Document Type: Conference Paper

References (8)

1. Ren Xiaojuan, Deng Youman, Zhao Changcheng, et al. Study on the algorithm for dynamic reactive power optimization of distribution systems[J]. Proceeding of the CSEE, 2003, 23(1): 31-36. [in Chinese].
2. LIU Mingbo, S.K. Tao, Chen Ying. An Extended Nonlinear Primal-Dual Interior-Point Algorithm for Reactive-Power Optimization of Large-Scale Power Systems With Discrete Control Variables, IEEE Transaction on Power System, 17(4), 2002.
3. Lu F.C., Hsu Y Y. Fuzzy dynamic programming approach to reactive power/voltage control in a distribution substation[J]. IEEE Trans. on Power Systems, 1997, 12(2): 681-688.
4. Hsu Y.Y., Lu F C. A combined artificial neural network-fuzzy dynamic programming approach to reactive power/voltage control in a distribution substation[J]. IEEE Trans. on Power Systems, 1998, 13(4): 1265-1271.
5. Hsu Y.Y., Lu F C. Reactive power/voltage control in a distribution substation using dynamic programming[J]. IEE Proc.-Gener. Transm. Distrib., 1995, 142(6):639-645.
6. Liang R.H., Cheng C K. Dispatch of main transformer ULTC and capacitors in a distribution system[J]. IEEE Trans. on Power Delivery, 2001, 16(4): 625-630.
7. K. Deb, M. Mohan and S. Mishra, "Evaluating the ε-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions," Evolutionary Computation, vol. 13, No. 4, pp. 501-525, 2005.
8. ZHANG An-an, YANG Hong-geng. A new ε-domination based fuzzy multi-objective reactive power optimization approach[J]. Automation of Electrical Power Systems, 2009, 33(5):34-39.