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 

基于改进差分进化算法的电力系统最优潮流计算

, PP. 123-128

Full-Text   Cite this paper   Add to My Lib

Abstract:

电力系统的最优潮流计算问题是一个多维非线性优化问题。它通过调节发电机有功出力、机端电压、变压器变比等使发电机组燃料成本函数最小,并保证所有的约束条件都得到满足。提出了利用改进差分进化算法来解决电力系统的最优潮流问题。IEEE30节点系统算例表明,与其他进化类算法相比,文中算法能够有效减少发电机燃料费用,并有良好的寻优能力和收敛特性。

References

[1]  袁晓辉,王乘,张勇传,等.粒子群优化算法在电力系统中的应用[J].电网技术,2004,28(19):14-19.
[2]  Yuan Xiaohui,Wang Cheng,Zhang Yongchuan,et al.A survey on application of particle swarm optimization to electric power systems[J].Power System Technology,2004,28(19):14-19(in Chinese).
[3]  杨波,赵遵廉,陈允平,等.一种求解最优潮流问题的改进粒子群优化算法[J].电网技术,2006,30(11):6-10.
[4]  Yang Bo,Zhao Zunlian,Chen Yunping,et al.An improved particle swarm optimization for optimal power flow problem[J].Power System Technology,2006,30(11):6-10(in Chinese).
[5]  Dorigo M,Gambardella L M.Ant colony system:a cooperative learning approach to the traveling salesman problem [J].IEEE Transactions on Evolutionary Computation,1997,1(1):53-66.
[6]  郝晋,石立宝,周家启,等.基于蚁群优化算法的机组最优投入[J].电网技术,2002,26(11):26-31.
[7]  Hao Jin,Shi Libao,Zhou Jiaqi,et al.Optiaml unit commitment based on ant colony optimization algorithm[J].Power System Technology,2002,26(11):26-31(in Chinese).
[8]  刘军,刘自发,黄伟.基于混合微分演化算法的配电网架结构智能规划[J].电力系统自动化,2007,31(2):32-35.
[9]  Liu Jun,Liu Zifa,Huang Wei.An intelligent distribution network planning method based on geographical differential evolution [J].Automation of Electric Power Systems,2007,31(2):32-35(in Chinese).
[10]  Zhao Yangdong,Miao Lu,Zhe Lu.A differential evolution based method for power system planning[C].IEEE Congress on Evolutionary Computation Sheraton VancouverWall Centre Hotel,Vancouver,BC,Canada,2006.
[11]  梁才浩,段献忠,钟志勇,等.基于差异进化和PC集群的并行无功优化[J].电力系统自动化,2006,30(1):29-34.
[12]  Liang Caihao,Duan Xianzhong,Zhong Zhiyong,et al.Parallel reactive power optimization based on differential evolution and PC-cluster[J].Automation of Electric Power Systems,2006,30(1):29-34(in Chinese).
[13]  Abbasy A,Tabatabaii I,Hosseini S.Optimal reactive powerdispatch in electricity markets using a multiagent-based differential evolution algorithm[C].Powereng 2007,Setubal,Portugal,2007.
[14]  Chang Y,Wu C.Design of harmonic filters using combinedfeasible direction method and differential evolution[J].International Conference on Power System Technology,Singapore,2004.
[15]  俞俊霞,赵波.基于改进粒子群优化算法的最优潮流计算[J].电力系统及其自动化学报,2005,17(4):83-88.
[16]  Yu Junxia,Zhao Bo.Improved particle swam optimization algorithm for optimal power flow problems[J].Proceedings of the CSU-EPSA,2005,17(4):83-88(in Chinese).
[17]  石立宝,徐国禹.自适应进化规划及其在多目标最优潮流中的应用:基于自适应进化规划的多目标最优潮流[J].电力系统自动化,2000,24(8):33-36.
[18]  Shi Libao,Xu Guoyu.Self-adaptive evolutionary programming and its application to multi-objective optimal load flow part two self-adaptive evolutionary programming solution of multi-objective optimal load flow[J].Automation of Electric Power Systems,2000,24(8):33-36(in Chinese).
[19]  Yuryevich J,Wong K P.Evolutionary programming based optimal power flow algorithm[J].IEEE Transactions on Power Systems,1999,14(4):1245-1250.
[20]  乐秀璠,覃振成,尹峰.基于自适应模拟退火遗传算法的多目标最优潮流[J].继电器,2005,33(7):10-15.
[21]  Lie Xiufan,Qin Zhencheng,Yin Feng.Multi-objective optimal power flow based on adaptive simulated annealing genetic algorithm [J].Relay,2005,33(7):10-15(in Chinese).
[22]  王小平,曹立明.遗传算法:理论、应用与软件实现[M].西安:西安交通大学出版社,2002:73-74.
[23]  Zimmerman R,Gan D.MATPOWER:A matlab power system[M].New York:Cornell University,1997:34-36.
[24]  Dommel H W,Tinney W F.Optimal power flow solutions [J].IEEE Trans on Power Apparatus and Systems,1968,87(10) :1866-1876.
[25]  陈恳.直角坐标牛顿–拉夫逊法潮流计算新解法[J].电力系统及其自动化学报,1999,11(4):66-69.
[26]  Chen Ken.New power flow solution for rectangular coordinate Newton–Raphson[J].Proceedings of the CSU-EPSA,1999,11(4):66-69(in Chinese).
[27]  候芳,吴政球,王良缘.基于内点法的快速解耦最优潮流算法[J].电力系统及其自动化学报,2001,13(6):8-12.
[28]  Hou Fang,Wu Zhengqiu,Wang Liangyuan.Optimal power solution based on fast decouple interior point algorithm[J].Proceedings of the CSU-EPSA,2001,13(6):8-12(in Chinese).
[29]  潘雄,王官洁,颜伟.一种基于模糊推理的快速解耦潮流算法[J].电力系统及其自动化学报,2002,14(3):5-8.
[30]  Pan Xiong,Wang Guanjie,Yan Wei.A fast decoupled load flow method based on fuzzy inference[J].Proceedings of the CSU-EPSA,2002,14(3):5-8(in Chinese).
[31]  蔡广林,韦化.基于非线性互补方法的内点最优潮流算法[J].电网技术,2005,29(21):21-26.
[32]  Cai Guanglin,Wei Hua.An interior point optimal power flow algorithm based on nonlinear complementarity method[J]. Power System Technology,2005,29(21):21-26(in Chinese).
[33]  石立宝,徐国禹.基于进化规划的最优潮流计算[J].电网技术,1998,22(2):23-25.
[34]  Shi Libao,Xu Guoyu.Evolutionary programmiong solution of optimal power flow[J].Power System Technology,1998,22(2):23-25(in Chinese).
[35]  Price K,Storn R,Differential evolution:a simple evolution strategy for fast optimization[J].Software Tools,1997,22(4):18-24.
[36]  Kassabalidis I N,El-Sharkawi M A,Marks R J,et al.Dynamic security border identification using enhanced particle swarm optimization[J].IEEE Trans on Power Systems,2002,17(3):723-729.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133