期刊文献+

非并网风网互补智能供电系统在浅滩海油田的应用与效益评价 被引量:1

The application and benefit evaluation of wind/network electronic intellectual power supply system on the shoal and shallow sea oilfield
下载PDF
导出
摘要 辽河浅滩海油田地处辽东湾地区,沿海油区的风能资源丰富,为风能资源的开发利用提供了良好的资源条件。文章结合辽河浅滩海油田试验应用的抽油机风网互补智能供电技术,对试验应用的风网互补智能供电系统进行介绍,并结合现场应用情况进行效益综合评价。试验表明,抽油机风网互补智能供电技术,可以有效利用沿海油区的风能资源,实现油田的节能减排目标,在取得良好经济效益的同时又有巨大社会效益。 The shoal shallow sea oilfield of Liaohe is located in Liaodong bay where wind energy resources are rich, and it is superiority for exploitation and utilization of wind-power. In this paper,an intelligent power supply technology of hybrid wind and grid is developed for pumping units in Liaohe oilfield, a power supply system with this technology is introduced, and a comprehensive evaluation of the power supply system is given. And it is proved that the system can achieve highly effective utilization of wind resources, which brings environmental benefit as well as economic benefit.
作者 阚长宾
出处 《可再生能源》 CAS 北大核心 2014年第12期1812-1815,共4页 Renewable Energy Resources
基金 中油辽科技项目(2012ZDIAN-09-05)
关键词 浅滩海油田 智能供电系统 环境效益评价 shoal and shallow sea oilfield intelligent power supply system environmental benefit evaluation
  • 相关文献

参考文献10

二级参考文献49

共引文献75

同被引文献10

  • 1Cai Y P,Huang G H,Tan Q,et al.Planning of community-scale renewable energy management systems in a mixed stochastic and fuzzy environment[J].Renewable Energy,2009,34(7):1833-1847.
  • 2Zhu Y,Li Y P,Huang G,et al.Modeling for planning municipal electric power systems associated with air pollution control:A case study of Beijing[J].Energy,2013,60(4):168-186.
  • 3Piao M J,Li Y P,Huang G H.Development of a stochastic simulation-optimization model for planning electric power systems:A case study of Shanghai,China[J].Energy Conversion and Management,2014,86(5):111-124.
  • 4Sharafi M,Elmekkawy T Y.Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach[J].Renewable Energy,2014,68(68):67-69.
  • 5Dong C,Huang G H,Cai Y P,et al.An inexact optimization modeling approach for supporting energy systems planning and air pollution mitigation in Beijing city[J].Energy,2012,37(1):673-688.
  • 6Xie Y L,Li Y P,Huang G H,et al.An inexact chanceconstrained programming model for water quality management in Binhai New Area of Tianjin,China[J].Science of the Total Environment,2011,409(10):1757-1773.
  • 7于慎航,孙莹,牛晓娜,赵传辉.基于分布式可再生能源发电的能源互联网系统[J].电力自动化设备,2010,30(5):104-108. 被引量:110
  • 8陈柳钦.低碳能源:中国能源可持续发展的必由之路[J].中国市场,2011(33):31-38. 被引量:8
  • 9周雅,李永平,黄国和.深圳市可持续电力规划模型及节能减排分析[J].电力建设,2014,35(6):75-80. 被引量:3
  • 10蔡宇航,刘晓宇,范英英,赵文晋,李鱼.基于技术减排的碳排放总量控制优化模型研究[J].可再生能源,2014,32(10):1582-1587. 被引量:5

引证文献1

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