Towards Real-Time Power Restoration Using a Hybrid Genetic Algorithm
作者： A.K. Dziwornu
DOI:
关键词: Reliability engineering 、 Blackout 、 Power grid 、 Power (physics) 、 Engineering 、 Genetic algorithm 、 Electrical engineering
摘要: The goal of this project is to use a hybrid genetic algorithm restore power grid after blackout by minimising the lost load and number switches within reasonable amount time for operators. was tested on single-fault multi-fault systems. Based simulation results, performance GA has been found be better than conventional when restoring radial grid.
tudelft.nl参考文章(82)
John R. Koza, Martin A. Keane, Genetic breeding of non-linear optimal control strategies for broom balancing Lecture Notes in Control and Information Sciences. ,vol. 144, pp. 47- 56 ,(1990) , 10.1007/BFB0120027
John Geraghty, Noraini Mohd Razali, Genetic Algorithm Performance with Different Selection Strategies in Solving TSP ,(2011)
David P. Chassin, GridLAB-D Technical Support Document: Network Module Version 1.0 Pacific Northwest National Laboratory (U.S.). ,(2008) , 10.2172/939870
Marija Boÿckarjova, Marek Zima, Operation, Monitoring and Control Technology of Power Systems ,(2007)
Mahmud H. El-Werfelli, Genetic algorithms applications to power system security schemes University of Bath. ,(2009)
Crina Grosan, Ajith Abraham, Problem Solving by Search Springer, Berlin, Heidelberg. pp. 13- 52 ,(2011) , 10.1007/978-3-642-21004-4_2
J. Arrillaga, C. P. Arnold, Computer Analysis of Power Systems ,(1990)
David E. Goldberg, Siegfried Voessner, Optimizing global-local search hybrids genetic and evolutionary computation conference. pp. 220- 228 ,(1999)
John H. Holland, Adaptation in natural and artificial systems ,(1992)