An Improved CS Algorithm and Its Application in Micro Grid Optimization

doi:10.16182/j.issn1004731x.joss.201803020

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.

Key words: cuckoo search algorithm, EO algorithm, micro grid, operation optimization

CLC Number:

TP301.6

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.

References 18

[1]	YANG X S, DEB S.Cuckoo Search via Lévy Flights[C]//NaBic 2009: Proceedings of World Congress on Nature & Biologically Inspired Computing. Coimbatore, India, IEEE Publications, 2009: 210-214.
[2]	刘长平, 叶春明. 求解置换流水车间调度问题的布谷鸟算法[J]. 上海理工大学学报, 2013, 35(1): 17-20. Liu Changping, Ye Chunming. A cuckoo algorithm for solving displacement flow shop scheduling problem[J]. Journal of Shanghai University of Technology, 2013, 35(1): 17-20.
[3]	YANG X S, DEB S.Multi-Objective Cuckoo Search for Design Optimization[J]. Computers & Operations Research(S0305-0548), 2013, 40(6): 1616-1624.
[4]	陈乐. 求解工程结构优化问题的改进布谷鸟搜索算法[J]. 计算机应用研究, 2014, 31(3): 679-683. Chen Le. Improved Cuckoo Search Algorithm for Solving Engineering Structure Optimization Problems[J]. Application Research of Computers, 2014, 31(3): 679-683.
[5]	Valian E.Improved Cuckoo Search Algorithm for Feedforwar Neural Network Training[J]. International Journal of Artificial I&A (S0974-0635), 2011, 2(3): 36-43.
[6]	Lai Jinhui.Application of GCS-SVM Model in Network Traffic Prediction[J]. Computer and Application (S1002-8331), 2013, 49(21): 75-78.
[7]	兰少峰, 刘升. 布谷鸟搜索算法研究综述[J]. 计算机工程与设计, 2015, 36(4): 1603-1607. Lan Shaofeng, Liu sheng. Research Review of Cuckoo Search Algorithm[J]. Computer Engineering and Design, 2015, 36(4): 1603-1607.
[8]	TUBA M, SUBOTIC M, STANAREVIC N.Modified Cuckoo Search Algorithm for Unconstrained Optimization Problems[C]//Proceedings of the 5th European Conference on Computing. Athens, Greece, 2011: 263-268.
[9]	马卫, 孙正兴, 李俊楼. 基于Powell局部搜索策略的全局优化布谷鸟算法[J]. 计算机应用研究, 2015, 32(6): 1667-1675. Ma Wei, Sun Zhengxing, Lijunlou. Global Optimization Cuckoo Algorithm Based on Powell Local Search Strategy[J]. Application Research of Computers, 2015, 32(6): 1667-1675.
[10]	钱伟懿, 候慧超, 姜守勇. 一种新的自适应布谷鸟搜索算法[J]. 计算机科学, 2014, 41(7): 279-282. Qian Weiyi, Hou Huichao, Jiang Shouyong. A New Adaptive Cuckoo Search Algorithm[J]. Computer Science, 2014, 41(7): 279-282.
[11]	李鹏, 徐伟娜, 周泽远, 等. 基于改进万有引力搜索算法的微网优化运行[J]. 中国电机工程学报, 2014, 34(19): 3073-3079. Li Peng, Xu Weina, Zhou Zeyuan, et al. Optimized operation of micronet based on improved universal gravitational search algorithm[J]. Chinese Society for Electrical Engineering, 2014, 34(19): 3073-3079.
[12]	柳川, 王宇拓, 王林川, 等. 含冷热电联供系统微电网优化运行研究[J]. 电测与仪表, 2015, 52(2): 31-37.Liu Chuan, Wang Yutuo, Wang Linchuan, et al. Research on the economical operation of the micro-grid with CCHP [J]. Electrical Measurement & Instrumentation, 2015, 52(2): 31-37.
[13]	Mohammadi S, Mozafari B, Solimani, et al. An Adaptive Modified Firefly Optimisation Algorithm Based on Hong's Point Estimate Method to Optimal Operation Management in a Microgrid with Consideration of Uncertainties[J]. Energy (S0360-5442), 2013, 51(1): 339-348.
[14]	陈洁, 杨秀, 朱兰, 等. 微网多目标经济调度优化[J]. 中国电机工程学报, 2013, 33(19): 57-66. Chen J, Yang X, Zhu L, et al. Multi-objective optimization of micro-grid economic dispatch[J]. Chinese Society for Electrical Engineering, 2013, 33(19): 57-66.
[15]	陈泯融. 基于极值动力学的优化方法及其应用研究[D]. 上海: 上海交通大学, 2008. Chen Minrong. Optimization method based on extreme value dynamics and its application[D]. Shanghai: Shanghai Jiaotong University, 2008.
[16]	李正茂, 张峰, 梁军, 等. 含电热联合系统的微电网运行优化[J]. 中国电机工程学报, 2015, 35(14): 3569-3576. Li Zhengmao, Zhang Feng, Liangjun, et al. Microgrid Operation Optimization with Combined Electric Heating System [J]. Chinese Society for Electrical Engineering, 2015, 35(14): 3569-3576.
[17]	黄敏. 基于改进粒子群算法的微电网多目标优化运行研究[D]. 重庆: 重庆大学, 2014. Huangmin. Research on Multi-objective Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization [D]. Chongqing: Chongqing University, 2014.
[18]	Mohamed F A, Koivo H N.System Modelling and Online Optimal Management of Microgrid Using Mesh Adaptive Direct Search[J]. International Journal of Electrical Power& Energy Systems(S0142-0615), 2010, 32(5): 398-407.