Research on Modeling and Parameter Identification of Comprehensive Load Model of Distribution Network in Industrial Park

被引:0
|
作者
Wang, Tingling [1 ]
Yan, Xiaohe [2 ]
机构
[1] North China Univ Water Resources & Elect Power, Sch Elect Engn, Zhengzhou 450045, Peoples R China
[2] Wenzhou Polytech, Wenzhou 325035, Peoples R China
关键词
Industrial park; Comprehensive load model; Distribution network; Chaos particle swarm optimization; ACTIVE DISTRIBUTION NETWORK;
D O I
10.23919/cje.2022.00.024
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
With the rapid development of industrial parks, its load model research has become a hot spot. In order to study the load of power system in industrial park, based on the characteristics of the industrial park load, a comprehensive load admittance static model with full voltage range adaptability is considered, and a comprehensive load model of distribution network of the industrial park is established. A complete parameter identification of the model is carried out through chaos particle swarm optimization. The simulation results show that the model can effectively describe the load characteristics of the distribution network in industrial parks.
引用
收藏
页码:264 / 273
页数:10
相关论文
共 50 条
  • [31] Real Time Parameter Identification of Composite Load Model
    Najafabadi, Amin M.
    Alouani, Ali T.
    2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
  • [32] Distribution Network Optimization Model of Industrial Park with Distributed Energy Resources under the Carbon Neutral Targets
    Yu, Xiaobao
    Yang, Kang
    Energy Engineering: Journal of the Association of Energy Engineering, 2023, 120 (12): : 2741 - 2760
  • [33] The research of modeling of Eco-Industrial Park based on evolution game
    Qin, ST
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES A-MATHEMATICAL ANALYSIS, 2006, 13 : 1322 - 1329
  • [34] Research on Model Predictive Control of IPMSM Based on Adaline Neural Network Parameter Identification
    Wang, Lihui
    Tan, Guojun
    Meng, Jie
    ENERGIES, 2019, 12 (24)
  • [35] Research on Device Modeling Technique Based on MLP Neural Network for Model Parameter Extraction
    Kang, Haixia
    Wu, Yuping
    Chen, Lan
    Zhang, Xuelian
    APPLIED SCIENCES-BASEL, 2022, 12 (03):
  • [36] Impact of Wind Generation on Load Modeling of Distribution Network
    Qian, Jun
    Li, Xinran
    Hui, Jinhua
    2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4, 2009, : 425 - 429
  • [37] Study of the Industrial Control Network Reliability Comprehensive Model
    Du, Kang
    Zhao, Guangyan
    Ma, Xiaodong
    Hu, Weiwei
    PROCEEDINGS 2013 INTERNATIONAL CONFERENCE ON MECHATRONIC SCIENCES, ELECTRIC ENGINEERING AND COMPUTER (MEC), 2013, : 131 - 134
  • [38] Parameter Identification Research Based on ARX Model
    Liu Huaiyuan
    He Jianhua
    Chen Song
    DIGITAL MANUFACTURING & AUTOMATION III, PTS 1 AND 2, 2012, 190-191 : 292 - 296
  • [39] Research of Online Learning Model Training Method in Load Forecasting of Distribution Network Planning
    Cheng, Peifen
    Chen, Zhuo'er
    Gaon, Xiaohai
    2024 3RD INTERNATIONAL CONFERENCE ON ENERGY AND ELECTRICAL POWER SYSTEMS, ICEEPS 2024, 2024, : 843 - 847
  • [40] Robust Time-Varying Parameter Identification for Composite Load Modeling
    Wang, Chong
    Wang, Zhaoyu
    Wang, Jianhui
    Zhao, Dongbo
    IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (01) : 967 - 979