Demand Response Based on Kalman-Filtering for the Frequency Control

被引：5
|
作者：
Bao, Yu-Qing [1 ,2 ]
Shen, Cheng [1 ,2 ]
Wang, Qi [1 ,2 ]
Zhang, Jin-Long [1 ,2 ]
机构：
[1] Nanjing Normal Univ, NARI Sch Elect Engn & Automat, Nanjing 210042, Jiangsu, Peoples R China
[2] Southeast Univ, Jiangsu Key Lab Smart Grid Technol & Equipment, Nanjing 210096, Jiangsu, Peoples R China
来源：
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | 2019年 / 14卷 / 03期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Demand response; Kalman-filtering; Frequency control; SIGNALS;
D O I：
10.1007/s42835-019-00139-4
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
DR control can be incorporated with traditional frequency control methods to achieve better performance. However, in the frequency measurement process, disturbances may influence the precision of measured frequency, and further influence the control performance. In this paper, a hierarchical DR control strategy is considered for the frequency control. In order to reduce the influence of detection error, a Kalman-filtering based method is proposed. At last, the effectiveness of the proposed method is verified by the testing results.
引用
收藏
页码：1087 / 1094
页数：8
相关论文
共 50 条
  • [1] Demand Response Based on Kalman-Filtering for the Frequency Control
    Yu-Qing Bao
    Cheng Shen
    Qi Wang
    Jin-Long Zhang
    Journal of Electrical Engineering & Technology, 2019, 14 : 1087 - 1094
  • [2] Application of Kalman-Filtering with Disturbance Estimation in Power System Frequency Control
    Qian, Qian-Qian
    Bao, Yu-Qing
    2021 IEEE IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (IEEE I&CPS ASIA 2021), 2021, : 782 - 787
  • [3] Demand Response Using Disturbance Estimation-Based Kalman Filtering for the Frequency Control
    Wu, Xuehua
    Qian, Qianqian
    Bao, Yuqing
    ENERGIES, 2022, 15 (24)
  • [4] Enhanced kalman-filtering iterative learning control with application to a wafer scanner
    Liu, Yang
    Li, Li
    Yang, Xiaofeng
    Tan, Jiubin
    INFORMATION SCIENCES, 2020, 541 (541) : 152 - 165
  • [5] Kalman-filtering nonuniformity correction algorithm based on nonlinear model
    Zhou, Huixin
    Wei, Yajiao
    Qin, Hanlin
    Wang, Bingjian
    Guangxue Xuebao/Acta Optica Sinica, 2009, 29 (02): : 378 - 381
  • [6] STRUCTURAL DEFORMATIONS ANALYSIS BY MEANS OF KALMAN-FILTERING
    Gulal, Engin
    BOLETIM DE CIENCIAS GEODESICAS, 2013, 19 (01): : 98 - 113
  • [7] Distributed Kalman-filtering: Distributed optimization viewpoint
    Ryu, Kunhee
    Back, Juhoon
    2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 2640 - 2645
  • [8] APPLICATION OF KALMAN-FILTERING TO THE ESTIMATION OF INSECT PHENOLOGY
    SHOEMAKER, CA
    STEDINGER, JR
    HANSEN, BA
    BIOMETRICS, 1984, 40 (04) : 1199 - 1199
  • [9] Analysis of dynamic deformation processes with adaptive KALMAN-filtering
    Eichhorn, Andreas
    JOURNAL OF APPLIED GEODESY, 2007, 1 (01) : 9 - 15
  • [10] Kalman-filtering timing recovery scheme for orthogonal frequency domain multiplexing (OFDM) systems
    Hajirostam, M
    Maddah-Ali, MA
    Haft-Baradaran, A
    Kilani, MT
    Fakhraie, SM
    Sharif-Khani, M
    Shoaei, O
    2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, : 2681 - 2684
12345