期刊文献+

水电主导的省级多能互补调度系统关键技术及应用 被引量:6

Key Technology and Application of Provincial Multi-energy Complementary Dispatching System Dominated by Hydropower
下载PDF
导出
摘要 随着西南地区水电和新能源电站规模的不断增大,开发实用的高比例可再生能源电网发电调度决策系统具有很强的迫切性和现实性。为此,以云南电网为依托,设计开发了多能源电网互补优化调度系统,构建了分层协同的总体技术架构,开发了覆盖新能源预测、径流预测、中长期运行方式优化、短期发电计划编制等全过程发电调度业务功能,集成了多尺度风光水互补优化调度模型与方法。实际应用结果表明,该系统可有效提升水电主导的多能源电网发电调度精细化、自动化、实用化水平。 In Southwest China,aprovincial multi-energy complementary system dominated by hydropower has been formed.The development of generation scheduling decision support system for large-scale wind-solar-hydro hybrid system is urgent.Therefore,based on the actual project of Yunnan power grid,a decision support system for complementary optimal dispatching of multi-energy power grid is designed and developed,and the overall technical framework of hierarchical coordination is constructed.The main functions of the system include wind power and solar power forecasting,runoff forecasting,long-term dispatching,medium-term dispatching and short-term dispatching.The practical application shows that the system can effectively improve the level of refinement,automation and practicality of the management of windsolar-hydro hybrid system dominated by hydropower.
作者 李秀峰 张俊涛 张一 吴洋 赵珍玉 程春田 LI Xiu-feng;ZHANG Jun-tao;ZHANG Yi;WU Yang;ZHAO Zhen-yu;CHENG Chun-tian(Yunnan Electric Power Dispatching and Control Center,Kunming 650000,China;Institute of Hydropower System&Hydroinformatics,Dalian University of Technology,Dalian 116024,China)
出处 《水电能源科学》 北大核心 2021年第3期36-40,共5页 Water Resources and Power
基金 中国南方电网有限责任公司重点科技项目(YNKJXM20170008) 中央高校基本科研(DUT2019TB04)。
关键词 多能源电网 风光水互补 水电主导 关键技术 multi-energy grid hybrid wind-solar-hydro hydropower dominated key technology
  • 相关文献

参考文献6

二级参考文献47

  • 1中国风能资源的详查和评估[J].风能,2011(8):26-30. 被引量:24
  • 2陈海焱,陈金富,段献忠.含风电场电力系统经济调度的模糊建模及优化算法[J].电力系统自动化,2006,30(2):22-26. 被引量:217
  • 3DUTTON A G, KARINIOTAKIS G, HALLIDAY J A ,et al.Load and wind power forecasting methods for the optimal management of isolated power systems with high wind penetration [J].Wind Engineering, 1999,23 (2) : 69-87.
  • 4TATLOR J W,MCSHARRY P E,BUIZZA R.Wind power density forecasting using ensemble predictions and time series models [J ]. IEEE Transaction on Energy Conversion,2009,24 (3) :775-782.
  • 5METHAPRAYOONK, YINGVIVATANAPONGC, W.J.Lee, et al. An Integration of ANN wind power estimation into unit commitment considering the forecasting uncertainty [J].IEEE Transaction on Industry Application, 2007,43 (6) : 1441-1448.
  • 6Gooi H B,Mendes D P,Be11 K R W,et al.Optimal scheduling of spinning reserve [J ].IEEE Transactions on Power Systems, 1999,14(4) : 1485-1492.
  • 7孙元章,吴俊,李国杰.风力发电对电力系统的影响(英文)[J].电网技术,2007,31(20):55-62. 被引量:184
  • 8ORTEGA-VAZQUEA M A, KIRSCHEN D S. Estimating the spinning reserve requirements in system with significant wind power penetration[J]. IEEE Trans on Power Systems, 2009, 24(1) : 114-124.
  • 9MORALES J M, CON[JO A N, PEREZ-RUIZ J. Economic valuation of reserve in power system with high penetration of wind power[J]. IEEE Trans on Power Systems, 2009, 24(2) : 900-910.
  • 10HETZER J, YU D C, BHATTARAI K. An economic dispatch model incorporating wind power[J]. IEEE Trans on Energy Conversion, 2008, 23(2): 603-611.

共引文献90

同被引文献82

引证文献6

二级引证文献6

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