Journal of System Simulation
Abstract
Abstract: In order to solve the shortcomings in cuckoo search algorithm, such as slow convergence, low accuracy and easy to fall into the local optimal solution, an improved cuckoo search algorithm is proposed: CS-EO search algorithm. In this search algorithm, the fast convergence speed and global searching advantage of CS algorithm and the strong local search ability of EO algorithm are combined organically. Under the premise of guaranteeing the solving speed, the accuracy of the solution is improved. The results of optimization test functions show that CS- EO algorithm has better optimization performance compared with CS algorithm and PSO algorithm. The algorithm is applied to the load optimal dispatch of micro grid, and the result is satisfying.
Recommended Citation
Liu, Changliang; Wang, Pengfei; Shuai, Liu; Lei, Luo; and Hui, Zhenqiao
(2019)
"An Improved CS Algorithm and Its Application in Micro Grid Optimization,"
Journal of System Simulation: Vol. 30:
Iss.
3, Article 20.
DOI: 10.16182/j.issn1004731x.joss.201803020
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss3/20
First Page
930
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201803020
Last Page
936
CLC
TP301.6
Recommended Citation
Liu Changliang, Wang Pengfei, Liu Shuai, Luo Lei, Hui Zhenqiao. An Improved CS Algorithm and Its Application in Micro Grid Optimization[J]. Journal of System Simulation, 2018, 30(3): 930-936.
DOI
10.16182/j.issn1004731x.joss.201803020
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