期刊文献+

Integrated generation-transmission expansion planning for offshore oilfield power systems based on genetic Tabu hybrid algorithm 被引量:8

原文传递
导出
摘要 To address the planning issue of offshore oil-field power systems, an integrated generation-transmission expansion planning model is proposed. The outage cost is considered and the genetic Tabu hybrid algorithm(GTHA)is developed to find the optimal solution. With the proposed integrated model, the planning of generators and transmission lines can be worked out simultaneously,which outweighs the disadvantages of separate planning,for instance, unable to consider the influence of power grid during the planning of generation, or insufficient to plan the transmission system without enough information of generation. The integrated planning model takes into account both the outage cost and the shipping cost, which makes the model more practical for offshore oilfield power systems. The planning problem formulated based on the proposed model is a mixed integer nonlinear programming problem of very high computational complexity, which is difficult to solve by regular mathematical methods. A comprehensive optimization method based on GTHA is also developed to search the best solution efficiently.Finally, a case study on the planning of a 50-bus offshore oilfield power system is conducted, and the obtained results fully demonstrate the effectiveness of the presented model and method.
出处 《Journal of Modern Power Systems and Clean Energy》 SCIE EI 2017年第1期117-125,共9页 现代电力系统与清洁能源学报(英文)
基金 supported by National Natural Science Foundation of China (No. 51322701) National High Technology Research and Development Program of China (863 Program) (No. 2012AA050216)
  • 相关文献

参考文献4

二级参考文献20

  • 1王成山,王赛一.基于空间GIS和Tabu搜索技术的城市中压配电网络规划[J].电网技术,2004,28(14):68-73. 被引量:44
  • 2周安石,康重庆,洪元瑞,黄俊辉,张谦.电力工业可持续发展的统一规划模型[J].电力系统自动化,2005,29(7):28-32. 被引量:25
  • 3徐宗本,高勇.遗传算法过早收敛现象的特征分析及其预防[J].中国科学(E辑),1996,26(4):364-375. 被引量:99
  • 4王锡凡(WangXifan).电力系统优化规划(TheOptimizationPlanningofPowerSystem),Hydraulic and Electric Power Press)[M].北京:水利电力出版社(Beijing,1990..
  • 5王成山 王赛一(WangChengshan WangSaiyi).基于空间GIS的城市中压配电网络智能规划(一):辐射接线模式的自动布局(The Intelligent Planning of Urban Mid—voltage Distribution Network Based on Spatial GIS: Part One Automatic Routin[J]..
  • 6王凌(WangLing).智能优化算法及其应用(IntelligentOptimizationAlgomthmswithApplications),Tsinghua University Press)[M].北京:清华大学出版社(Beijing,2001..
  • 7TeixeiraFirmo H,Fernando L,Lggey L.Generation.expansion planning:an iterative genetic algorithm approach[J].IEEE Transactions on Power Systems 2002,17(3):901-906.
  • 8Park J B,Pack Y M,Won J R.An improved gnetic algorithm for gneneration expansion planning[J].IEEE.Transactions on Power Systems,2000,15(3):916-922.
  • 9Park Y,Won J,Park J,et al.An improved genetic algorithm for generation expansion planning[J].IEEE Trans.on Power Systems,2000,15:916-922(in Chinese).
  • 10吴耀武,侯云鹤,熊信艮,鲁丽娟.基于遗传算法的电力系统电源规划模型[J].电网技术,1999,23(3):10-14. 被引量:39

共引文献84

同被引文献86

引证文献8

二级引证文献76

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部