期刊文献+

微电网孤网实时能量优化管理 被引量:3

Real-time energy optimization management of microgrid in the stand-alone mode
下载PDF
导出
摘要 提出了双层协调调度的方法——计划调度层和实时调度层来解决微电网孤网实时能量优化管理的问题。计划层是基于不可控微电源功率预测的主要考虑微电网经济性的调度方法;实时层是在计划层的基础上对不可控微电源实际功率与预测功率之间的误差进行调度,再将调度结果叠加到计划层各个可控微电源的功率上。在实时层,可控微电源的功率范围与计划层是不同的,下限为其在计划层出力的相反数,上限为其最大出力与计划层出力差值。最后通过一个典型的微电网实例验证了该方法的正确性和优越性。 This paper puts forward the method of double-layer coordinated scheduling, which are planning scheduling layer and real-time scheduling layer, to solve the real-time energy optimization management problem in the stand-alone mode. Planning layer mainly considers ecnomic of microgrid based on uncontrolled micropowers power predicting while real-time layer dispachs the errors between actual power and forecasting power of uncontrolled micropowers on the basis of the planning layer , and adds the dispaching result to the planning layer. In real-time layer, controllable power′s range of micropower supply is different with the planning layer, the lower limit is opposite of output of micropower in the planning layer, the upper limit is the difference value between maximun power to output of micropower in the planning layer. Finally, a typical microgrid is used to verify the correctness and superiority of the proposed method.
出处 《微型机与应用》 2014年第15期76-79,82,共5页 Microcomputer & Its Applications
关键词 双层协调调度 能量优化管理 微电网 孤网运行 double-layer coordinated scheduling energy optimization management microgrid stand-alone mode
  • 相关文献

参考文献15

二级参考文献103

共引文献223

同被引文献31

  • 1栗文义,张保会,巴根.风/柴/储能系统发电容量充裕度评估[J].中国电机工程学报,2006,26(16):62-67. 被引量:35
  • 2ZHANG Z, CHOW M Y. Convergence analysis of the incre- mental cost consensus algorithm under different communication network topologies in a smart grid [ J]. IEEE Transactions on Power Systems, 2012, 27(4) :1761 - 1768. 被引量:1
  • 3JIANG Q, XUE M, GENG G. Energy management of microgrid in grid-connected and stand-alone modes [ J 1. IEEE Transac- tions on Power Systems, 2013, 28(3) :3380-3389. 被引量:1
  • 4HUANG A Q, CROW M L, HEYDT G T, et al. The future re- newable electric energy delivery and management (FREEDM) system: the energy internet [ J 3. Proceedings of the IEEE, 2011, 99(1) :133-148. 被引量:1
  • 5LIN C E, VIVIANI G L. Hierarchical economic dispatch for piecewise quadratic cost functions ~ J ]. Power Apparatus & Sys- tems IEEE Transactions on, 1984, 103(6) :1170-1175. 被引量:1
  • 6WOOD A J, WOLLENBERG B F. Power generation, operation and control[ M]. Wiley & Sons, 2013. 被引量:1
  • 7GAING Z L. Particle swarm optimization to solving the econom- ic dispatch considering the generator constraints [ J ]. Power Systems IEEE Transactions on, 2003, 18 ( 3 ) ~ 1187-1195. 被引量:1
  • 8PARK J B, JEONG Y W, SHIN J R, et al. An improved par- ticle swarm optimization for nonconvex economic dispatch problems[ J]. IEEE Transactions on Power Systems, 2010, 25( 1 ) :156-166. 被引量:1
  • 9TSIKALAKIS A G,I-IATZIARGYRIOU N D. Centralized con- trol for optimizing microgrids operation [ J 1. IEEE Trans. on Energy Conversion ,2008,23 ( 1 ) :241-248. 被引量:1
  • 10BAKIRTZIS A, PETRIDIS V, KAZARLIS S. Genetic algo- rithm solution to the economic dispatch problem [ J ]. IEEE Proceedings-Generation, Transmission and Distribution, 1994, 141 (4) :377-382. 被引量:1

引证文献3

二级引证文献13

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