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计及风电不确定性的混合储能系统优化配置研究 被引量:13

Study on optimal allocation of hybrid energy storage system considering wind power uncertainty
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摘要 为减小风电并网产生的不利影响,提高风电消纳空间,在含风电出力的主动配电网中增设混合储能系统,并对其进行优化配置。考虑风电随机出力对潮流的影响,建立风电、储能系统接入配电网后的数学模型。以有功网损、电压偏差以及总投资费用最小为目标,引入机会约束建立储能系统优化配置模型。在此基础上,以IEEE 33节点配电网络为算例,通过改进灰狼算法对模型进行求解,得到储能系统的最优配置方案。仿真结果表明,所提模型和算法能有效地对储能系统进行配置,提高整体经济性和安全性,同时提高系统的风电消纳能力。 In order to reduce the adverse impact of wind pow⁃er grid connection and improve the wind power consumption space,a hybrid energy storage system is added in the active distribution network with wind power output,and its configuration is optimized.Considering the influence of wind power random output on power flow,the mathematical model of wind power and energy storage con⁃nected to distribution network is established.The optimal alloca⁃tion model of energy storage system is established with the objec⁃tive of minimizing the active power loss,voltage deviation and in⁃vestment cost.On this basis,the gray wolf algorithm is improved to solve the model.Taking IEEE 33 node system as an example,the optimal configuration scheme of energy storage system is obtained.The simulation results show that the proposed model and algorithm can effectively dispose the energy storage system,improve the over⁃all economy and security,and increase the wind power consump⁃tion capacity of the system.
作者 杨晓雷 丁磊明 李逸鸿 张涛 郭玥彤 余利 霍然 YANG Xiaolei;DING Leiming;LI Yihong;ZHANG Tao;GUO Yuetong;YU Li;HUO Ran(Jiaxing Power Supply Company,State Grid Zhejiang Electric Power Co.,Ltd.,Jiaxing 314033,China;College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China;Hubei Provincial Collaborative Innovation Center for New Energy Microgrid(China Three Gorges University),Yichang 443002,China)
出处 《电力需求侧管理》 2021年第6期69-74,共6页 Power Demand Side Management
基金 国网浙江省电力有限公司群众性科学技术创新项目(5211JX190012) 国网浙江省电力有限公司科技资助项目(5211JX1900CX)。
关键词 主动配电网 风电不确定性 混合储能系统 优化配置 改进灰狼算法 active distribution network wind power uncer⁃tainty mixed energy storage system optimal allocation improved gray wolf algorithm
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  • 1Xiangjun LI,Liangzhong YAO,Dong HUI.Optimal control and management of large-scale battery energy storage system to mitigate fluctuation and intermittence of renewable generations[J].Journal of Modern Power Systems and Clean Energy,2016,4(4):593-603. 被引量:43
  • 2梁惠施,程林,苏剑.微网的成本效益分析[J].中国电机工程学报,2011,31(S1):38-44. 被引量:77
  • 3Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy[J]. Journal of Power Sources . 2005 (1) 被引量:4
  • 4Huang, A.Q.,Crow, M.L.,Heydt, G.T.,Zheng, J.P.,Dale, S.J.The Future Renewable Electric Energy Delivery and Management (FREEDM) System: The Energy Internet. Proceedings of Tricomm . 2011 被引量:5
  • 5Mohammad Reza Aghamohammadi,Hajar Abdolahinia.A new approach for optimal sizing of battery energy storage system for primary frequency control of islanded Microgrid. Electrical Power and Energy Systems . 2014 被引量:2
  • 6Geidl, Martin,Andersson, G?ran.Optimal power flow of multiple energy carriers. IEEE Transactions on Power Systems . 2007 被引量:3
  • 7刘振亚.全球能源互联网[M]. 中国电力出版社, 2015 被引量:4
  • 8顾坚.硼氢化钙基储氢材料的吸放氢性能及其储氢机理研究[D].浙江大学2014 被引量:1
  • 9刘明义,郑建涛,徐海卫,刘冠杰,曹传钊.电解水制氢技术在可再生能源发电领域的应用[A]. 2013年中国电机工程学会年会论文集[C]. 2013 被引量:1
  • 10Anya Castillo,Dennice F. Gayme.SJES14110700195567[J]. Energy Conversion and Management . 2014 被引量:1

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