Hierarchical optimal scheduling of DC distribution network based on model predictive control theory

被引：0
|
作者：
Jin, Lu [1 ]
Lu, Yan [1 ]
Du, Kai [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Coll Automat, Chongqing, Peoples R China
来源：
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年
关键词：
Dc distribution network; power flow calculation; MPC; particle swarm optimization;
D O I：
10.1109/CCDC58219.2023.10327274
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The existing AC distribution network faces many challenges, such as diversified demand, complicated power flow dispatching, and large-scale access of distributed generation. Dc distribution network with flexible DC devices has become the research and development direction of electric power industry. In this paper, combined with the operating principle and characteristics of the flexible DC device, the power flow model of the flexible DC device is established, and then the power flow model including distributed power supply is established. Then, a dual-layer optimization strategy of DC distribution network based on model predictive control is proposed, and the MATLAB simulation platform is built to verify the effectiveness and feasibility of the strategy.
引用
收藏
页码：1355 / 1360
页数：6
相关论文
共 50 条
  • [41] Research on Optimal Control of AC-DC Hybrid Distribution Network
    Wu, Zhikai
    Hu, Dalong
    Bai, Jing
    Jiang, Li
    Meng, Ming
    Zhu, Guolin
    Wei, Yi
    2018 3RD INTERNATIONAL CONFERENCE ON ENERGY MATERIALS AND APPLICATIONS, 2018, 446
  • [42] Three-Phase Unbalance Control Method in Distribution Network Based on Model Predictive Control
    Cheng, Cheng
    Zhou, Guizhen
    Ye, Chao
    Ma, Yue
    Lu, Haipeng
    2024 IEEE 2ND INTERNATIONAL CONFERENCE ON POWER SCIENCE AND TECHNOLOGY, ICPST 2024, 2024, : 691 - 695
  • [43] Optimal Storage Scheduling in Distribution Network considering Fuzzy Model of PEVs
    Sedghi, M.
    Aliakbar-Golkar, M.
    2013 18TH CONFERENCE ON ELECTRICAL POWER DISTRIBUTION NETWORKS (EPDC), 2013,
  • [44] Connection Mode Optimization of Power Distribution Network Based on Load Fusion and Hierarchical Control Theory
    Song, Bingqian
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT AND COMPUTER SCIENCE (ICEMC 2016), 2016, 129 : 155 - 160
  • [45] The Integration Framework of Train Scheduling and Control Based on Model Predictive Control
    Mi, Chao
    Zhou, Yonghua
    INFORMATION AND MANAGEMENT ENGINEERING, PT VI, 2011, 236 : 492 - 499
  • [46] Neural network based Model Predictive Control
    Piché, S
    Keeler, J
    Martin, G
    Boe, G
    Johnson, D
    Gerules, M
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 12, 2000, 12 : 1029 - 1035
  • [47] A two-layer optimal scheduling method for microgrids based on adaptive stochastic model predictive control
    Hu, Jinxing
    Yan, Pengqian
    Tan, Guoqiang
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2025, 36 (02)
  • [48] Optimal scheduling of GEO debris removing based on hybrid optimal control theory
    Yu, Jing
    Chen, Xiao-qian
    Chen, Li-hu
    Hao, Dong
    ACTA ASTRONAUTICA, 2014, 93 : 400 - 409
  • [49] Robust hierarchical dispatch for residential distribution network management considering home thermal flexibility and model predictive control
    Rooks, Cody
    Li, Fangxing
    Shi, Qingxin
    Dong, Jin
    Olama, Mohammed M.
    Xue, Yaosuo
    Winstead, Christopher
    Kuruganti, Teja
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2021, 15 (18) : 2567 - 2581
  • [50] Optimal Management of Barcelona Water Distribution Network using Non-linear Model Predictive Control
    Wang, Y.
    Cembrano, G.
    Puig, V.
    Urrea, M.
    Romera, J.
    Saporta, D.
    Valero, J. G.
    Quevedo, J.
    IFAC PAPERSONLINE, 2017, 50 (01): : 5380 - 5385
12345