An integrated dynamic voltage control strategy in active distribution network based on improved model predictive control

被引:1
|
作者
Li, Yize [1 ]
Wang, Yinfeng [1 ,2 ]
Ye, Hongbo [3 ]
Xie, Wei [3 ]
Hua, Bin [3 ]
Lu, Chao [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, 30 Shuangqing Rd, Beijing, Peoples R China
[2] China Elect Power Planning & Engn Inst, Beijing, Peoples R China
[3] State Grid Shanghai Municipal Elect Power Co, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
27;
D O I
10.1049/gtd2.12477
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
The distribution networks have more frequent and fast voltage fluctuations with the large-scale access of distributed energy resources and electric vehicles. Based on remote terminal unit (RTU) and distribution terminal unit (DTU), traditional hierarchical control methods are difficult to achieve rapid global coordinated voltage regulation due to static modeling. For this purpose, this paper proposes an integrated dynamic voltage control strategy which integrates the objectives of local voltage control and secondary voltage control. First, simplified dynamic models of controllable equipment in active distribution network are established instead of the static models. On this basis, the state-space prediction model of the control system is established. Then, based on the improved model predictive control (IMPC), the integrated dynamic voltage control strategy realizes rapid and global coordinated control through state prediction, rolling optimization and real-time feedback correction. Numerical results show that the proposed strategy can achieve fast global coordinated voltage control in the time scale of seconds.
引用
收藏
页码:993 / 1006
页数:14
相关论文
共 50 条
  • [1] A Voltage Integrated Strategy in DC Distribution Network Based on Droop Control
    Zhang, Yun
    Fan, Shixiong
    Wang, Yi
    Liu, Xingwei
    Gao, Yunxing
    Ye, Jun
    [J]. 2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2018,
  • [2] Improved Model Predictive Dynamic Voltage Cooperative Control Technology Based on PMU
    Liu, Shu
    Zhang, Lin
    Wu, Zhenbin
    Zhao, Jian
    Li, Liang
    [J]. FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [3] A Stochastic Model Predictive Control Based Dynamic Optimization of Distribution Network
    Dong, Lei
    Liu, Mengxia
    Fan, Shixiong
    Pu, Tianjiao
    [J]. 2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [4] Hierarchically distributed voltage control strategy for active distribution network
    Chen, Fei
    Liu, Dong
    Chen, Yunhui
    [J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2015, 39 (09): : 61 - 67
  • [5] Application of Model Predictive Control in Active Distribution Network
    Yang, Dexiang
    Liu, Dong
    Li, Qingsheng
    Nong, Jing
    [J]. 2014 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2014,
  • [6] Voltage Division Control in AC/DC Hybrid Distribution Network Based on Model Predictive Control
    Dong, Lei
    Ming, Jie
    Yu, Ting
    Fan, Shixiong
    Pu, Tianjiao
    [J]. 2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 515 - 519
  • [7] Voltage control strategy for integrated medium and low voltage distribution network based on active-reactive power coordination optimization
    Ping, Baozhi
    Zhang, Xiao
    Song, Qiang
    Yu, Yongjin
    Wu, Na
    Ji, Xinquan
    [J]. 2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 1187 - 1192
  • [8] Research on Voltage Control Strategy of Distribution Network Based on Model Prediction Technology
    Wang, Qing
    Ai, Jingwen
    Zhang, Huaying
    [J]. PROCEEDINGS OF 2019 INTERNATIONAL FORUM ON SMART GRID PROTECTION AND CONTROL (PURPLE MOUNTAIN FORUM), VOL I, 2020, 584 : 689 - 701
  • [9] Voltage model predictive control of active distribution network considering load characteristics of induction motor
    Mao, Wenbo
    Cao, Dongzhi
    Yao, Liangzhong
    Zhu, Kedong
    Zhou, Jing
    Liao, Siyang
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2024, 44 (08): : 92 - 99
  • [10] An improved differential evolution algorithm-based optimal series compensation voltage control strategy for an active distribution network
    Zhang, Zhihua
    Crossley, Peter
    Xu, Bingyin
    Ma, Jun
    [J]. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2017, 27 (10):