Combined hybrid energy storage system and transmission grid model for peak shaving based on time series operation simulation

被引:2
|
作者
Wei, Mingkui [1 ]
Wen, Yiyu [1 ]
Meng, Qiu [2 ]
Zheng, Shunwei [2 ]
Luo, Yuyang [2 ]
Liao, Kai [2 ]
机构
[1] State Grid Corp China, Southwest Branch, 299 Shuxiu West Rd, Chengdu 610000, Peoples R China
[2] Southwest Jiaotong Univ, Sch Elect Engn, 999 Xian Rd, Chengdu 610000, Peoples R China
来源
GLOBAL ENERGY INTERCONNECTION-CHINA | 2023年 / 6卷 / 02期
关键词
Peak shaving; Hybrid energy storage system; Combined energy storage and transmission grid model; Time series operation simulation;
D O I
10.1016/j.gloei.2023.04.003
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This study proposes a combined hybrid energy storage system (HESS) and transmission grid (TG) model, and a corresponding time series operation simulation (TSOS) model is established to relieve the peak-shaving pressure of power systems under the integration of renewable energy. First, a linear model for the optimal operation of the HESS is established, which considers the different power-efficiency characteristics of the pumped storage system, electrochemical storage system, and a new type of liquid compressed air energy storage. Second, a TSOS simulation model for peak shaving is built to maximize the power entering the grid from the wind farms and HESS. Based on the proposed model, this study considers the transmission capacity of a TG. By adding the power-flow constraints of the TG, a TSOS-based HESS and TG combination model for peak shaving is established. Finally, the improved IEEE-39 and IEEE-118 bus systems were considered as examples to verify the effectiveness and feasibility of the proposed model.
引用
收藏
页码:154 / 165
页数:12
相关论文
共 50 条
  • [21] Model Based Design of a Renewable Energy Supply with Hybrid Energy Storage System
    Kemper, Philipp
    Witkowski, Ulf
    UKSIM-AMSS 10TH EUROPEAN MODELLING SYMPOSIUM ON COMPUTER MODELLING AND SIMULATION (EMS), 2016, : 117 - 123
  • [22] A Study on Optimal Operation Strategy for Mild Hybrid Electric Vehicle Based on Hybrid Energy Storage System
    Bae, SunHo
    Park, Jung-Wook
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2018, 13 (02) : 631 - 636
  • [23] Model Prediction and Rule Based Energy Management Strategy for Hybrid Energy Storage System
    Zhou, Shiyao
    Chen, Ziqiang
    PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC), 2019, : 427 - 432
  • [24] An MILP-based model for short-term peak shaving operation of pumped-storage hydropower plants serving multiple power grids
    Cheng, Chuntian
    Su, Chengguo
    Wang, Peilin
    Shen, Jianjian
    Lu, Jianyu
    Wu, Xinyu
    ENERGY, 2018, 163 : 722 - 733
  • [25] Control strategy of energy storage power station participating in power grid peak shaving based on extended short-term load forecasting and dynamic optimization
    Huang J.
    Yang J.
    Huang Z.
    Chen Y.
    Qian J.
    Hu X.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2021, 42 (09): : 470 - 476
  • [26] The survey of the combined heat and compressed air energy storage (CH-CAES) system with dual power levels turbomachinery configuration for wind power peak shaving based spectral analysis
    Zhao, Pan
    Wang, Peizi
    Xu, Wenpan
    Zhang, Shiqiang
    Wang, Jiangfeng
    Dai, Yiping
    ENERGY, 2021, 215
  • [27] Bus Voltage Control for DC Micro-grid Hybrid Energy Storage System Based on NDO
    Kang Jiayu
    He Erhui
    Li Wei
    Shi Chenyu
    PROCEEDINGS OF 2021 IEEE 11TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC 2021), 2021, : 127 - 130
  • [28] Real-time Operation Model for Energy Management System of Battery Energy Storage System - Case Study: The School of Sinntorp
    Shafique, Hamza
    Archer, Dan-Eric
    Eriksson, Robert
    Tjernberg, Lina Bertling
    2022 17TH INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2022,
  • [29] Adaptive energy management strategy based on a model predictive control with real-time tuning weight for hybrid energy storage system
    Ma, Bin
    Guo, Xing
    Li, Penghui
    ENERGY, 2023, 283
  • [30] Power allocation scheme for grid interactive microgrid with hybrid energy storage system using model predictive control
    Jena, Chinmaya Jagdev
    Ray, Pravat Kumar
    JOURNAL OF ENERGY STORAGE, 2024, 81