Adaptive Kernel Density Theory Based State Estimation for Hybrid AC/DC Distribution Network with PET

被引：0
作者：
Jia H. [1 ]
Si J. [1 ]
Mu Y. [1 ]
Liu Y. [2 ]
机构：
[1] Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin
[2] School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin
来源：
Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology | 2021年 / 54卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Distribution network; Kernel density estimation; Power electronic transformer(PET); State estimation;
D O I：
10.11784/tdxbz202008017
中图分类号：
学科分类号：
摘要：
To improve the accuracy of state estimation for a hybrid AC/DC distribution network with power electronic transformer(PET), a new state estimation method based on adaptive kernel density is proposed, considering the measurement characteristics of PET ports under different control modes. In addition, the influence of local measure-ment configuration on state estimation accuracy is analyzed under different control modes of PET. First, considering the possible bad data in the measurement and the three-phase asymmetric characteristics of the AC part of the network, a three-phase state estimation model based on adaptive kernel density is constructed. Next, a bandwidth determination method is proposed considering the three-phase asymmetric AC network, DC network, and PET measurement. This method can automatically generate the approximate optimal bandwidth, initial bandwidth, and modified bandwidth according to the residual value in the iterative process of state estimation to improve the identify-cation accuracy of bad data, the equivalent weights of which can be autumnally descended. The problem of erroneous identification resulted in partial unobservability, which is overcome by measuring the standard deviation constraint. At the same time, the influence of different PET control modes on the accuracy of state estimation is analyzed qualitatively, and the PET measurement configuration scheme is suggested, which further improved the estimation accuracy. Finally, a 22-bus AC/DC hybrid distribution network with PET is constructed to verify the accuracy of the proposed state estimation method compared with the traditional weighted least square method; the accuracy of the voltage magnitude and the phase angle improved by 50% and 35%, respectively. The accuracy of PET measurement has a significant impact on the state estimation results, the accuracy of the voltage magnitude and the phase angle increased by 30% and 10%, respectively, also doubling the accuracy of the voltage magnitude in PET. © 2021, Editorial Board of Journal of Tianjin University(Science and Technology). All right reserved.
引用
收藏
页码：754 / 762
页数：8
相关论文
共 19 条
  • [1] Ge Leijiao, Li Yuanliang, Wang Yuqian, Comprehensive evaluation model for situational awareness effects of a smart distribution network, Journal of Tianjin University: Science and Technology, 53, 11, pp. 1101-1111, (2020)
  • [2] Xu Chen, Yu Yixin, Jia Hongjie, MAS based distribution network three-phase state estimation, Journal of Tianjin University, 43, 2, pp. 95-101, (2010)
  • [3] Sun Guoqiang, Qian Qiang, Chen Liang, Et al., State estimation of distribution system based on pesudo measurement modeling using deep belief network, Electric Power Automation Equipment, 38, 12, pp. 94-99, (2018)
  • [4] Meng Yutian, Yan Zheng, Xu Xiaoyuan, Et al., Global sensitivity analysis on state estimation of distribution network and its application, Automation of Electric Power Systems, 44, 2, pp. 114-126, (2020)
  • [5] Li Xingzhi, Han Bei, Li Guojie, Et al., Two-Stage Probabilistic State Estimation for AC/DC Distribution Network Considering Non-Gaussian Coupling Uncertainties, Transactions of China Electrotechnical Society, 35, 23, pp. 4949-4960, (2020)
  • [6] Lin Jiaying, Luan Wenpeng, Yu Yixin, Et al., Credibility modelling and analysis of AMI measurements for on-line distribution state estimation, Power System Technology, 42, 4, pp. 1191-1199, (2018)
  • [7] Tian Jiahui, Liang Dong, Ge Leijiao, Et al., Placement of micro-phasor measurement units in distribution systems for highly accurate state perception, Power System Technology, 43, 7, pp. 2235-2242, (2019)
  • [8] Chen Xiaoyi, Wang Dong, Cao Zhi, Et al., Three-phase state estimation of low voltage distribution network based on hybrid measurement of smart meter and PMU, Power System and Clean Energy, 35, 3, pp. 14-20, (2019)
  • [9] Sheng Wanxing, Fang Hengfu, Shen Yulan, Et al., Distribution state estimation based on fusion of three data sources considering measurement delay, Proceedings of the CSU-EPSA, 31, 12, pp. 108-115, (2019)
  • [10] Cheng Tao, Huang Yanquan, Shen Tie, Application of genetic algorithm in optimizing the configuration of PMU, Proceedings of the CSU-EPSA, 21, 1, pp. 48-51, (2009)
12