Optimization of Reactive Power for Active Distribution Network with Power Electronic Transformer

被引:0
|
作者
Zhou, Hui [1 ]
Zhang, Wei [1 ]
Wu, Xinghua [2 ]
Cong, Rongi [3 ]
Zhang, Xianglong [4 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect Engn, Beijing, Peoples R China
[2] Qingdao Subcomapany, State Grid Shangdong Elect Power Co, Qingdao, Peoples R China
[3] Univ Torontom, Rotman Commence, Toronto, ON, Canada
[4] State Power Econ Res Inst, Beijing, Peoples R China
关键词
Power Electronic Transformer (PET); Active Distribution Network (ADN); Nodal voltage; Optimization of Reactive Power; Particle Swarm Optimization (PSO);
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Regarding to reactive power regulation in an active distribution network, PET (power electronic transformer) is considered as a new reactive power control device. Based on understanding of DRs, energy storage devices and PET, we built an optimization model of reactive power for an ADN (Active distribution network) with PET, and adopted PSO (particle swarm optimization) to solve the optimal problem. The simulation results show that power loss in ADN with PET is less than that with OLTC (On-load Tap Changer) transformer, because PET is of better performances in reactive power regulation. At last, we used an example to verify the feasibility and effectiveness of the constructed model.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Power Electronic Transformer for DC Power Distribution Network
    Wang, Zhaohui
    Zhang, Zhen
    Zhang, Junming
    Sheng, Kuang
    [J]. 2014 INTERNATIONAL ELECTRONICS AND APPLICATION CONFERENCE AND EXPOSITION (PEAC), 2014, : 805 - 810
  • [2] Research on Coordinated Optimization of Active and Reactive Power in Active Distribution Network
    Wu, Xiaomeng
    Li, Chong
    [J]. 2020 3RD INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY (CISAT) 2020, 2020, 1634
  • [3] Coordinated Optimization of Active Power and Reactive Power in Distribution Network Based on Scenario Method
    Zheng, Neng
    Ding, Xiaoqun
    Guan, Zhicheng
    Hu, Ruixin
    Miao, Hui
    [J]. Dianwang Jishu/Power System Technology, 2019, 43 (05): : 1640 - 1649
  • [4] Optimization and Control Method of Distributed Active and Reactive Power in Active Distribution Network
    Kou, Lingfeng
    Wu, Ming
    Li, Yang
    Qu, Xiaoyun
    Xie, Hui
    Gao, Bo
    Chen, Fan
    Hu, Cungang
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2020, 40 (06): : 1856 - 1864
  • [5] Reactive power optimization of an active distribution network including a solid state transformer using a moth swarm algorithm
    Shi, Jiying
    Yang, Wenjing
    Xue, Fei
    Qiao, Wen
    Zhang, Di
    [J]. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2019, 11 (03)
  • [6] Stochastic Operation Optimization for AC/DC Distribution Network With Power Electronic Transformer
    Zhang, Tao
    Mu, Yunfei
    Jia, Hongjie
    Wang, Xinying
    Pu, Tianjiao
    [J]. Dianwang Jishu/Power System Technology, 2022, 46 (03): : 860 - 869
  • [7] Active and Reactive Power Coordinated Dynamic Optimization for Active Distribution Network with Flexible Distribution Switch
    含柔性多状态开关的主动配电网有功-无功协调动态优化
    [J]. Li, Mingqi (260302515@qq.com), 1600, Automation of Electric Power Systems Press (44): : 54 - 61
  • [8] A Wolf Pack Algorithm for Active and Reactive Power Coordinated Optimization in Active Distribution Network
    Zhuang, H. M.
    Jiang, X. J.
    [J]. 2016 INTERNATIONAL CONFERENCE ON NEW ENERGY AND FUTURE ENERGY SYSTEM (NEFES 2016), 2016, 40
  • [9] Application of Distributed Power in Reactive Power Optimization of Distribution Network
    Hao, Wenbo
    Liu, Boning
    Yao, Shujun
    [J]. 10TH ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC 2018), 2018, : 996 - 1005
  • [10] Coordinated active and reactive power optimization considering load characteristics for active distribution network
    Yong, Chenchen
    Li, Yong
    Zeng, Zilong
    Zhang, Zhiwen
    Zhang, Zhenyu
    Liu, Yanlun
    [J]. Chinese Journal of Electrical Engineering, 2020, 6 (04): : 97 - 105