期刊文献+

光储充一体化电站优化配置方法 被引量:8

Optimal Configuration Method for PV-Storage-Charging Integrated Power Station
下载PDF
导出
摘要 电动汽车对于推动节能减排具有巨大作用,但大规模电动汽车接入电网后,其充电负荷会给电网带来短时负荷冲击,影响电网安全运行。光储充一体化电站可利用光伏和储能来平衡电动汽车充电负荷,有效降低大规模电动汽车充电对电网资源的占用。针对光储充一体化电站的规划需求,首先建立了光伏模型和基于寿命预测的储能模型,然后以最大化光储充一体化电站的净收益为目标,以设备运行和功率平衡为约束,建立了光储充一体化电站设备优化配置模型,并采用遗传算法进行求解,最后通过算例验证了该方法的有效性。 Electric vehicles play a huge role in promoting energy conservation and emission reduction.However,when large-scale electric vehicles are connected to the grid,the charging load brings a short-term load impact to the grid,which affects the safe operation of the grid.The PV-storage-charging integrated power station utilizes PV and energy storage to balance the charging load of electric vehicles in order to reduce the impact.In view of the planning demand of the integrated charging station,PV and energy storage model based on life prediction is established with the objective to maximize the net income of the station.Based on the constraints of equipment operation and power balance,an optimized configuration model for the integrated station is constructed,and the model is solved by genetic algorithm.Finally,the effectiveness of the method is verified by a study case.
作者 郭强强 皮昊书 陈云辉 GUO Qiangqiang;PI Haoshu;CHEN Yunhui(Shanghai Electric Power Design Institute,Co.,Ltd.,Shanghai 200025,China)
出处 《电力与能源》 2022年第1期61-64,87,共5页 Power & Energy
关键词 光储充一体化电站 寿命预测 优化配置 PV-storage-charging integrated power station life prediction optimal configuration
  • 相关文献

参考文献9

二级参考文献116

  • 1王震坡,孙逢春,林程.电动公交客车充电站容量需求预测与仿真[J].北京理工大学学报,2006,26(12):1061-1064. 被引量:24
  • 2郭永新,王高,齐二石.品牌、价格和促销对市场份额影响的模型研究[J].管理科学学报,2007,10(2):59-65. 被引量:23
  • 3Saber A Y, Venayagamoorthy G. K. Resource scheduling under uncertainty in a smart grid with renewables and plug-in vehicles[ J]. IEEE Systems Journal, 2012, 6(1): 103-109.
  • 4Bessa R J, Matos M A. Economic and technicalmanagement of an aggregation agent for electric vehicles: a literature survey[ J ]. European Transactions on Electrical Power, 2012, 22(3): 334-350.
  • 5Saber A Y, Venayagamoorthy G K. Intelligent unit commitment with vehicle-to-grid-A cost emission optimization[J]. Journal of Power Sources, 2010, 195 (3) : 898-911.
  • 6Saber A Y, Venayagamoorthy G K. Plug-in vehicles and renewable energy sources for cost and emission reductions [J]. IEEE Transactions on Industrial Electronics, 2011, 58(4) : 1229-1238.
  • 7Kempton W, Tomic J, Letendre S, et al. Vehicle-to- grid power: battery, hybrid, and fuel cell vehicles as resources for distributed electric power in California[ EB! OL]. 200112013-10-23]. http: //www. udel. edu/ V2G/docs/V2G-Cal-2001. pdf.
  • 8Gage T B. Development and evaluation of a plug-in HEV with vehicle-to-grid power flow[R]. Sacramento: CA. AC Propulsion, 2003.
  • 9Liu C, Wang J, Botterud A, et al. Assessment of impacts of PHEV charging patterns on wind-thermal scheduling by stochastic unit commitment[J]. IEEE Transactions on Smart Grid, 2012, 3(2) : 675-683.
  • 10Khodayar M E, Wu L, Shahidehpour M. Hourly coordination of electric vehicle operation and volatile wind power generation in SCUC[J]. IEEE Transactions on Smart Grid, 2012, 3(3) : 1271-1279.

共引文献288

同被引文献51

引证文献8

二级引证文献15

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