A Multi-objective model for transmission network restoration based on multi-agent and tabu search

3rd International Conference on Deregulation and Restructuring and Power Technologies, DRPT 2008

Volumn , Issue , 2008, Pages 2392-2397

  He, Xiangzhen ^a   Liao, Zhi Wei ^a   Guo, Wenxin ^a   Wen, Fushuan ^a   Liang, Junhui ^b   Fu, Jian ^c  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b Guangdong Power Dispatching Center   (China)

^c Shanghai Extra High Voltage Power Transmission Company   (China)

Author keywords

Multi agent; Optimization technique; Power system; Restoration; Tabu search

Indexed keywords

AGENTS; ARTIFICIAL INTELLIGENCE; COMPUTER SOFTWARE; CONSTRAINED OPTIMIZATION; DEREGULATION; ELECTRIC NETWORK ANALYSIS; ELECTRIC NETWORK TOPOLOGY; ELECTRIC POWER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; HEURISTIC PROGRAMMING; INDUSTRIAL ECONOMICS; INTELLIGENT AGENTS; MATHEMATICAL MODELS; MULTI AGENT SYSTEMS; MULTIOBJECTIVE OPTIMIZATION; NONLINEAR PROGRAMMING; OPTIMAL SYSTEMS; REPAIR; RESTORATION; SOLUTIONS; TECHNOLOGY;

CONSTRAINED NONLINEAR OPTIMIZATION; CONTROL AGENTS; DISTRIBUTED MODELLING; ELECTRIC NETWORKS; GLOBAL OPTIMAL SOLUTIONS; HEURISTIC SEARCH; INTERNATIONAL CONFERENCES; LOCAL OPTIMAL; MULTI AGENTS; MULTI OBJECTIVES; MULTI VARIABLES; MULTI-AGENT; MULTI-AGENT TECHNOLOGIES; OPTIMAL SOLUTIONS; OPTIMIZATION TECHNIQUE; POWER SYSTEM; POWER SYSTEM RESTORATION; POWER TECHNOLOGIES; SIMULATION RESULTS; TABU SEARCH METHODS; TRANSMISSION NETWORK;

TABU SEARCH;

EID: 49649095347     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DRPT.2008.4523813     Document Type: Conference Paper

References (12)

1. Jiang W, Teo C.Y. A knowledge-based approach for bulk power system restoration. International Conference on Energy Management and Power Delivery, 1995, volume 1, 21-23 Nov. 1995. Page(s):108 -111
2. Fountas N.A, Hatziargyriou N.D, Valavanis K.P. Hierachical timeextended Petri nets as a generic tool for power system restoration. IEEE Transactions on Power Systems, volume 12, Issue 2, May 1997. Page(s):837-843
3. Bretas A.S, Phadke A.G. Artificial neural networks in power system restoration. IEEE Transactions on Power Delivery, volume 18, Issue 4, Oct. 2003. Page(s):1181-1186
4. Matsumoto Y, Hase S, Kinoshita T. Development of outage restoration system using genetic algorithm. Power Engineering Society Winter Meeting 2000, IEEE, volume 4, 23-27 Jan.2000. Page(s):2775-2779
5. Helal L, Fathalla H, Mansour M.M.S. Al-Debieky S. Power system restoration using expert system technique. International Conference on Electrical, Electronic and Computer Engineering, 5-7 Sept.2004 Page(s):747-752
6. Nagata, T.; Sasaki, H.; Yokoyama, R.; Power system restoration by joint usage of expert system and mathematical programming approach. IEEE Transactions on.Power Systems, volume 10, Issue 3. Aug. 1995. Page(s):1473-1479
7. Li Xiao, Xie Zhong, Qiu Yuhui. Adaptivity implementation based on multi-agent technology. IEEE International Conference on Advanced Learning Technologies, 2004, Proceedings, 30 Aug.-1 Sept. 2004. Page(s):146-150
8. Nagata T, Yoshihiro Tao, Fujita, H. An autonomous agent for power system restoration. Power Engineering Society General Meeting, 2004. IEEE.6-10 June 2004. Page(s): 1069-1074
9. Wen Fushuan. A tabu search method of optimal planning of transmission network. Power System Technology, VoL.21, No.5, May 1997 Page(s):2-6
10. Wen Fushuan, Han Zhenxiang. A new approach to alarm processing in power systems based upon the set covring theory and tabu search methord. Automation of Electric Power Systems, VOL.21No.2, Jan. 1997 Page(s): 18-23.
11. Mohanty I, Kalita J, Das S, Pahwa A, Buehler E. Ant algorithms for the optimal restoration of distribution feeders during cold load pickup. Swarm Intelligence Symposium, 2003, Proceedings of the 2003 IEEE. 24-26 April 2003. Page(s):132-137
12. Alessandra Fanni, Alessandro Manunza.Tabu search Metaheuristics for Global Optimization of Electromagnetic Problems. IEEE Transcations on Magnetics, Vol 34, No 5, SEPTEMBER 1998. Page(s):2960-2963