期刊文献+

考虑核电调峰的广东电网机组组合 被引量:9

The Unit Commitment of Guangdong Power Grid in Consideration of the Nuclear Power Taking Part in Load Regulation
在线阅读 下载PDF
导出
摘要 机组组合可以取得明显的节能效果,但国内以往的机组组合研究没有包括核电机组。在分析核电机组运行模式的基础上,建立了考虑核电调峰的机组组合模型,并以2015年广东电网为例,应用拉格朗日松弛法和动态规划法计算了考虑核电调峰的机组组合方式。对比了核电带基本负荷和以"12-3-6-3"模式参与调峰情况下火电机组的煤耗。结果表明,核电机组参与电网调峰可以显著降低火电机组煤耗,达到良好的节能减排效果。 Unit commitment is a way to get obvious effect of energy saving,but the neclear units have not been in consideration yet in China.Analyzing the operation mode of nuclear power units,this paper sets up an unit commitment model in consideration of the nuclear power taking part in load regulaton,and taking the case of Guangdong Power Grid in 2015 as an example,gets its unit commitment mode under the consideration with Lagrangian relaxation and dynamic programming methods.The comparison of coal consumptions between two modes of the nuclear unit,namely the base load mode and the "12-3-6-3" regulation mode,is done,showing that the consumption in the latter mode is less so obviously than that in the former mode that the effect of energy saving and contamination reduction is good.
出处 《南方电网技术》 2012年第3期53-56,共4页 Southern Power System Technology
关键词 核电机组 调峰 机组组合 节能 nuclear power unit load regulation unit commitment energy saving
  • 相关文献

参考文献12

  • 1KERR R H,SCHEIDT J L,FONTANA A J. Unit Commitment[J].IEEE Transactions on Power Apparatus and Systems,1966,(05):417-421.
  • 2LEE F N. The Application of Commitment Utilization Factor (CUF) to the Thermal Unit Commitment[J].IEEE Transactions on Power Systems,1991,(02):691-698.
  • 3MANTAWY A H,ABDEL-MAGID Y L,SELIM S Z. A Simulated Annealing Algorithm for Unit Commitment[J].IEEE Transactions on Power Systems,1998,(01):197-204.
  • 4孙闻,房大中.考虑系统可靠性和经济性的机组组合方法[J].电网技术,2008,32(6):47-51. 被引量:15
  • 5COHEN A I,YOSHIMURA M. A Branch and Bound Algorithm for Unit Commitment[J].IEEE Transactions on Power Apparatus and Systems,1983,(01):444-451.
  • 6赵波,曹一家.电力系统机组组合问题的改进粒子群优化算法[J].电网技术,2004,28(21):6-10. 被引量:60
  • 7SASAKI H,WATANABE M,YOKOYAMA R. A Solution Method of Unit Commitment by Artificial Neural Networks[J].IEEE Trans-actions on Power Systems,1992,(01):974-981.
  • 8MUELLER N P. Response of Pressurized Water Reactors to Network Power Generation Demand[J].IEEE Transactions on Power Appa-ratus and System,1982,(10):3943-3950.
  • 9CHOU Q B. Characteristics and Maneuverability of CANDU Nu-clear Power Stations Operated for Base-Load and Load-Following Generation[J].IEEE Transactions on Power Apparatus and Systems,1975,(03):792-801.
  • 10朱成章.我国核电机组调峰的必要性[J].大众用电,2010(7):3-5. 被引量:3

二级参考文献29

  • 1赵波,曹一家.电力系统机组组合问题的改进粒子群优化算法[J].电网技术,2004,28(21):6-10. 被引量:60
  • 2孙力勇,张焰,蒋传文.基于矩阵实数编码遗传算法求解大规模机组组合问题[J].中国电机工程学报,2006,26(2):82-87. 被引量:64
  • 3孙力勇,张焰,蒋传文.求解机组组合问题的嵌入贪婪搜索机制的改进粒子群优化算法[J].电网技术,2006,30(13):44-48. 被引量:15
  • 4Kennedy J, Eberhart R. Particle swarm optimization [A]. Proceedings of IEEE International Conference on Neural Networks[C]. Perth,Australia, 1995, 4: 1942-1948.
  • 5Kennedy J, Eberhart R. A new optimizer using particle swarm theory [A]. Proceeding Sixth International Symposium on Micro Machine and Human Science[C]. IEEE service center, Nagoya, Japan, 1995:39-43.
  • 6Kassabalidis I N, El-Sharkawi M A, Marks R J et al. Dynamic security border identification using enhanced particle swarm optimization [J]. IEEE Transactions on Power Systems, 2002, 17(3): 723-729.
  • 7NakaS, GenjiT, YuraTetal. A hybrid particle swarm optimization for distribution state estimation[J]. IEEE Transactions on Power Systems, 2003, 18(1): 60-68.
  • 8Eberhart R C, Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization[A]. Proceedings of the Congress on Evolutionary Computing[C]. IEEE Service Center,California, USA, 2000: 84-88.
  • 9Kazarlis S A, Bakirtzis A G, Petridis V. A genetic algorithm solution to the unit commitment problem[J]. IEEE Transaction on power systems, 1996, 11(1): 83-92.
  • 10JusteKA, KitaH, TanakaEetal. An evolutionary programming to the unit commitment problem[J]. IEEE Transaction on power systems, 1999, 14(4): 1452-1459.

共引文献103

同被引文献108

引证文献9

二级引证文献113

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