期刊文献+

电动公交汽车电池集群参与海岛微网能量调度的V2G策略 被引量:20

V2G strategy for energy dispatch of island microgrid with EBBG
下载PDF
导出
摘要 结合海岛环保公共交通需求并基于车网互联(V2G)技术,提出一种将电动公交汽车电池集群(EBBG)作为储能元件参与海岛微网能量调控的运行方案。根据EBBG的配置参数和管理模式,构建精确的数学模型实时评估其V2G可用容量,表征其参与微网运行调控时的动态双向能量平衡能力。以实现各优化时段内海岛微网中供需两侧能量动态平衡的整体成本最小化为目标,建立EBBG参与海岛微网运行调控的优化模型,并基于改进粒子群优化算法求得系统中各能量动态平衡要素在各时段的功率输出最优值。以舟山东福山岛风-光-柴-储微网系统为例,验证了所提V2G能量调度方案和运行优化策略的可行性和有效性。 Combined with the demand of green island public transportation,an energy dispatch scheme based on V2G( Vehicle to Grid) technology is proposed for island microgrid, which takes the EBBG(Electric Bus Battery Groups) as the energy storage devices. A precise mathematical model is established based on the configuration parameters and management mode of EBBG to estimate the available V2 G capacity in real time for representing its dynamic ability of bidirectional energy balance. An optimization model with the minimum total operational cost of the dynamic energy balance between supply and demand sides as its objective is built for different optimization periods. The improved particle swarm optimization algorithm is applied to calculate the optimal power outputs of all energy balance elements for different optimization periods. With the wind-PV-diesel-battery hybrid microgrid of Dongfushan Island in Zhoushan as an example,the feasibility and validity of the proposed V2G-based energy dispatch scheme and operational optimization strategy are verified.
出处 《电力自动化设备》 EI CSCD 北大核心 2016年第10期31-37,共7页 Electric Power Automation Equipment
基金 国家自然科学基金资助项目(51207139 51407160) 浙江省自然科学基金资助项目(Y17E070018) 国家留学基金资助项目(201408330220)~~
关键词 海岛微网 电动公交汽车电池集群 车网互联 可用容量 能量调度 island microgrid electric bus battery groups vehicle to grid available capacity energy dispatch
  • 相关文献

参考文献7

二级参考文献92

  • 1王建学,王锡凡,王秀丽.电力市场可中断负荷合同模型研究[J].中国电机工程学报,2005,25(9):11-16. 被引量:115
  • 2裴锋,黄向东,罗玉涛,赵克刚.电动汽车动力电池变流放电特性与荷电状态实时估计[J].中国电机工程学报,2005,25(9):164-168. 被引量:50
  • 3[3]KaldeUis J K.An integrated feasibility analysis of a standalone wind power system.including no-energy fulfillment cost[J].Wind Energ,2003(6):355-364.
  • 4ANDERSON R,BOULANGER A,POWELL W,et al. Adaptive stochastic control for the smart grid[J]. Proceedings of the IEEE, 2011,99(6) : 1098-1115.
  • 5LOMBARDI P,HEUER M,STYCZYNSKI Z. Battery switch station as storage system in an autonomous power system:optimization issue [C ] //Proceedings of Power Engineering Society General Meeting. Minneapolis,MN,USA: [s.n.] ,2010:1-6.
  • 6HASSANZADEHFARD H,MOGHADDAS-TAFRESHI S,HAKIMI S. Effect of energy storage systems on optimal sizing of islanded micro-grid considering interruptible loads[C]//Proceedings of the 3rd International Youth Conference on Energetics. Leiria, Portugal : [ s.n. ], 2011 : 1-7.
  • 7TSIKALAKIS A,HATZIARGYRIOU N. Centralized control for optimizing microgrids operation[J]. IEEE Trans on Energy Conversion, 2008,23 ( 1 ) : 241-248.
  • 8FRANGIONI A,GENTILE C,LACALANDRA F. Tighter approximated MILP formulations for unit commitment problems[J]. IEEE Trans on Power Systems,2009,24(1):105-113.
  • 9Chan C C. The state of the art of electric and hybrid vehicles[J]. Proceedings of IEEE,2002, 90(2): 247- 275.
  • 10Shen W X, Chan C C, Lo E W C, et al. Adaptive nuero-fuzzy modeling of battery residual capacity for electric vehicle[J]. IEEE Trans. on Industrial Electronics, 2002, 49(3): 677-684.

共引文献283

同被引文献229

引证文献20

二级引证文献161

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