期刊文献+

聚合商模式下电动汽车消纳风电研究 被引量:7

Research on electric vehicle consumption wind power in aggregator mode
下载PDF
导出
摘要 电动汽车协同新能源共同规划为新能源的充分利用带来新机遇。文章研究了聚合商模式下的电动汽车消纳弃风的调度策略;设计了聚合商、电动汽车车主、风电场三方共同获利的合作方法;提出了包含电动汽车的可信度和剩余电量的电动汽车可调度潜力评估方法;对参与聚合商充放电控制的电动汽车进行排序,建立了考虑风电出力不确定性的聚合商协同风电场消纳弃风的优化调度模型。该模型以聚合商收益最高为目标函数,在分析购电分时电价、电动汽车充电分时电价的基础上,结合各类基础参数对模型进行求解。文章以上海某区域为研究对象进行算例仿真,验证了所提策略既能使三方获利,又能取得消纳部分弃风和减轻电网负荷高峰的效果。 The joint planning of electric vehicles and new energy brings new opportunities for the full utilization of new energy. This paper studies the dispatching strategy of electric vehicles in the agglomeration mode to eliminate wind and abandon winds;designs a cooperative method for the agglomeration of aggregators, electric vehicle owners, and wind farms;and proposes an electric vehicle that includes the credit and remaining power of electric vehicles. The schedulable potential assessment method is used to classify the electric vehicles participating in the charge and discharge control of the aggregator, and an optimal scheduling model for the agglomeration of wind farms considering the wind power output uncertainty is established. The model takes the highest income of the aggregator as the objective function. Based on the analysis of the time-of-use electricity price and the electric vehicle charging time-sharing electricity price, the model is solved by combining various basic parameters. The paper uses a certain area of Shanghai as the research object to simulate the example and verifies that the proposed strategy can not only benefit the three parties but also achieve the effect of eliminating some of the wind and reducing the peak load of the power grid.
作者 李东东 王博伦 邹思源 Li Dongdong;Wang Bolun;Zou Siyuan(College of Electric Engineering,Shanghai University of Electric Power,Shanghai 200090,China;State Grid Shangrao Power Supply Company,Shangrao 334000,China)
出处 《可再生能源》 CAS 北大核心 2019年第9期1346-1355,共10页 Renewable Energy Resources
基金 国家自然科学基金资助项目(51707114) 上海市科学技术委员会资助项目(17020500800) 上海市“曙光计划”资助项目(15SG50) 上海市教育委员会和上海市教育发展基金会"晨光计划"项目(17CG56)
关键词 聚合商 风电消纳 电动汽车 优化调度 aggregator wind power consumption electric vehicle optimized dispatch
  • 相关文献

参考文献9

二级参考文献153

  • 1刘明君,郭继孚,高利平,张德欣,毛保华.私人小汽车出行行为特征分析与建模[J].吉林大学学报(工学版),2009,39(S2):25-30. 被引量:21
  • 2赵娟,谭忠富,李强.我国峰谷分时电价的状况分析[J].现代电力,2005,22(2):82-85. 被引量:55
  • 3王成山,陈恺,谢莹华,郑海峰.配电网扩展规划中分布式电源的选址和定容[J].电力系统自动化,2006,30(3):38-43. 被引量:246
  • 4国务院发展研究中心产业经济研究部.中国汽车产业发展报告(2008)[M].北京:社会科学文献出版社,2008.
  • 5Kempton W , Tomic J . Vehicle-to-grid power fundamentals: calculating capacity and net revenue[J]. Joumal of Power Sources, 2005. 144(1): 268-279.
  • 6Sortomme E, E1-Sharkawi M A. Optimal scheduling of vehicle-to-grid energy and ancillary services[J]. IEEE Transactions on Smart Grid, 2012, 3(1): 351-359.
  • 7Kempton W , Tomic J . Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy[J]. Journal of Power Sources, 2005, 144(1): 280-294.
  • 8Wencong S. A Survey on the electrification of transportation in a smart grid environment[J]. IEEE Transactions on Industrial Informatics, 2012, 8(1): 1-10.
  • 9Ota Y. Autonomous distributed V2G (vehicle-to-grid) satisfying scheduled charging[J]. IEEE Transactions on Smart Grid, 2012, 3(1): 559-564.
  • 10王辉,粟梅,孙尧,等.应用于V2G的AC/DC矩阵变换器[J].中国电机工程学报,2012,32(10):11-19.

共引文献527

同被引文献124

引证文献7

二级引证文献22

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