全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
电网技术  2010 

基于混沌人工鱼群算法的输电网规划方法

, PP. 109-113

Full-Text   Cite this paper   Add to My Lib

Abstract:

人工鱼群算法收敛速度快,但存在早熟收敛现象;混沌优化算法具有遍历性、随机性和对初值敏感的特点,虽然全局搜索能力强,但收敛速度慢。大规模输电网规划方法对求解速度的要求越来越高,为此结合人工鱼群算法和混沌优化算法,提出了适用于输电网规划的混沌人工鱼群算法,该算法继承了混沌优化算法特点,使人工鱼群在搜索过程中避免陷入局部极值,同时改进了人工鱼的视野和游动步长,加快了寻优效率。算例结果验证了该算法的可行性。

References

[1]  王锡凡.电力系统优化规划[M].北京:水利电力出版社,1990:268-283.
[2]  王秀丽,王锡凡.遗传算法在输电系统规划中的应用[J].西安交通大学学报,1995,29(8):1-9. Wang Xiuli,Wang Xifan.Transmission system planning with genetic algorithm[J].Journal of Xi’an Jiaotong University,1995,29(8):1-9(in Chinese).
[3]  王秀丽,陈皓勇,王锡凡,等.基于非支配遗传算法及协同进化算法的多目标多区域电网规划[J].中国电机工程学报,2006,26(12):11-15. Wang Xiuli,Chen Haoyong,Wang Xifan,et al.Multi-objective and multi-district transmission planning based on NSGA-II and cooperative co-evolutionary algorithm[J].Proceedings of the CSEE,2006,26(12):11-15(in Chinese).
[4]  翟海保,程浩忠,吕干云,等.多阶段输电网络最优规划的并行蚁群算法[J].电力系统自动化,2004,28(20):37-42. Zhai Haibao,Cheng Haozhong,Lü Ganyun,et al.Parallel ant colony algorithm for the multistage transmission network optimal planning [J].Automation of Electric Power Systems,2004,28(20):37-42(in Chinese).
[5]  吴杰,刘健,卢志刚,等.适用于输电网网架规划的人工鱼群算法[J].电网技术,2007,31(18):63-67. Wu Jie,Liu Jian,Lu Zhigang,et al.Artificial fish swarm algorithm suitable to transmission network planning[J].Power System Technology,2007,31(18):63-67(in Chinese).
[6]  金义雄,程浩忠.改进粒子群算法及其在输电网规划的应用[J].中国电机工程学报,2005,25(4):46-50. Jin Yixiong,Cheng Haozhong.Improved particle swarm optimization method and its application in power transmission network planning [J].Proceedings of the CSEE,2005,25(4):46-50(in Chinese).
[7]  高飞,童恒庆.基于改进粒子群优化算法的混沌系统参数估计方法[J].物理学报,2006,55(2):577-582. Gao Fei,Tong Hengqing.An approach of parameter estimation for a chaotic system based on genetic algorithm[J].Acta Physica Sinica,2006,55(2):577-582(in Chinese).
[8]  金义雄,程浩忠.计及阻塞管理及剩余容量的并行粒子群电网规划方法[J].电网技术,2005,29(23):18-23. Jin Yixiong,Cheng Haozhong,Parallel particle swarm optimization on power transmission network planning taking account of congestion management and residual capacity[J].Power System Technology,2005,29(23):18-23(in Chinese).
[9]  王淳,程浩忠.模拟植物生长算法及其在输电网规划中的应用[J].电力系统自动化,2007,31(7):24-28. Wang Chun,Cheng Haozhong.A plant growth simulation algorithm and its application in power transmission network planning[J].Automation of Electric Power Systems,2007,31(7):24-28(in Chinese).
[10]  聂宏展,乔怡,吕盼.基于混合人工鱼群算法的输电网络规划[J].电网技术,2009,33(2):78-83. Nie Hongzhan,Qiao Yi,Lü Pan.Transmission network planning based on hybrid artificial fish school algorithm[J].Power System Technology,2009,33(2):78-83(in Chinese).
[11]  王凌,郑大钟,李清生.混沌优化算法的研究进展[J].计算技术与自动化,2001,20(1):1-5. Wang Ling,Zheng Dazhong,Li Qingsheng.Survey on chaotic optim- ization methods[J].Computing Technology and Automation,2001,20(1):1-5(in Chinese).
[12]  Romero R,Monticelli A,Garcia A,et al.Test systems and mathematical models for transmission network expansion planning [J].IEE Proceedings of Generation Transmission and Distribution,2002,149(1):27-36.
[13]  聂宏展,吕盼,乔怡.基于人工鱼群算法的输电网络规划[J].电工电能新技术,2008,27(2):11-15. Nie Hongzhan,Lü Pan,Qiao Yi,Transmission network planning based on artificial fish school algorithm[J].Advanced Technology of Electrical Engineering and Energy,2008,27(2):11-15(in Chinese).
[14]  刘自发,葛少云,余贻鑫.一种混合智能算法在配电网络重构中的应用[J].中国电机工程学报,2005,25(15):73-78. Liu Zifa,Ge Shaoyun,Yu Yixin.A hybrid intelligent algorithm for loss minimum reconfiguration in distribution networks[J].Proceedings of the CSEE,2005,25(15):73-78(in Chinese).
[15]  王春娟,张伏生,王帅,等.基于混合优化算法的电网规划方法[J].电网技术,2005,29(23):30-33. Wang Chunjuan,Zhang Fusheng,Wang Shuai,et al.Power network planning method based on hybrid optimal algorithm[J].Power System Technology,2005,29(23):30-33(in Chinese).

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133