Review of Modelling and Optimal Control Strategy for Virtual Energy Storage

被引:0
作者
Zhou, Bowen [1 ,2 ]
Jiang, Yichen [1 ,2 ]
Zhang, Yanhui [3 ]
Li, Guangdi [1 ,2 ]
Gu, Peng [1 ,2 ]
Liu, Boyu [4 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Peoples R China
[2] Northeastern Univ, Key Lab Integrated Energy Optimizat & Secure Opera, Shenyang, Peoples R China
[3] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China
[4] UNSW Sydney, Sch Elect Engn & Telecommun, Sydney, NSW, Australia
基金
中国国家自然科学基金;
关键词
demand side management; electric vehicle charging; energy storage; micro grids; renewables and storage; SYSTEM; MANAGEMENT; OPTIMIZATION; DISPATCH; PLANTS; PV;
D O I
10.1049/gtd2.70031
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
VES is a method of balancing the energy of a power system with other equipment or scheduling strategies, particularly with respect to controllable loads, owing to end-user electrification. This paper summarises the connotations, classifications, and typical modelling applications for VES users. Thereafter, the modelling methods, characteristics, and specific operation cases of five types of VESs are introduced, including electric vehicles, buildings, cold storage, industrial production and hydrogen storage. Furthermore, the energy storage capacity planning, energy scheduling strategy, and power control strategy of a VESS are realised through optimal control strategies. Finally, in conjunction with demand response, the development prospects of VES in modelling and control strategies are discussed to improve the economic and environmental benefits of microgrids.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] Data-Driven Modeling and Optimal Control of Hydrogen Energy Storage for Frequency Regulation
    Lee, Gi-Ho
    Park, Jae-Young
    Ban, Jaepil
    Kim, Young-Jin
    Catalao, Joao P. S.
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2023, 38 (02) : 1231 - 1245
  • [42] A Review of Emerging Cutting-Edge Energy Storage Technologies for Smart Grids Purposes
    Kucur, Gamze
    Tur, Mehmet Rida
    Bayindir, Ramazan
    Shahinzadeh, Hossein
    Gharehpetian, Gevork B.
    2022 9TH IRANIAN CONFERENCE ON RENEWABLE ENERGY & DISTRIBUTED GENERATION (ICREDG), 2022,
  • [43] Research on the Application and Control Strategy of Energy Storage in Rail Transportation
    Xin, Dixi
    Li, Jianlin
    Liu, Chang'an
    WORLD ELECTRIC VEHICLE JOURNAL, 2023, 14 (01):
  • [44] Flexible virtual inertial control strategy of photovoltaic-energy storage DC distribution network
    Liu Y.
    Zhou S.
    Liang H.
    Tang X.
    Ma S.
    Xie Y.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2021, 41 (05): : 107 - 113
  • [45] Parameter-Adaptation-Based Virtual DC Motor Control Method for Energy Storage Converter
    Wang, Pengyu
    Zhao, Jianfeng
    Liu, Kangli
    IEEE ACCESS, 2021, 9 : 90795 - 90804
  • [46] Real-Time Optimal Operation Control of Micro Energy Grid Coupling With Electricity- Thermal -Gas Considering Prosumer Characteristics
    An, Su
    Wang, Honglei
    Yuan, Xufeng
    IEEE ACCESS, 2020, 8 : 216566 - 216579
  • [47] Adaptive Dynamic Programming-Based Optimal Control Scheme for Energy Storage Systems With Solar Renewable Energy
    Wei, Qinglai
    Shi, Guang
    Song, Ruizhuo
    Liu, Yu
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (07) : 5468 - 5478
  • [48] Optimal control of energy storage under random operation permissions
    Moazeni, Somayeh
    Defourny, Boris
    IISE TRANSACTIONS, 2018, 50 (08) : 668 - 682
  • [49] Optimal Energy Management Strategy of an Improved Elevator With Energy Storage Capacity Based on Dynamic Programming
    Bilbao, Endika
    Barrade, Philippe
    Etxeberria-Otadui, Ion
    Rufer, Alfred
    Luri, Sergio
    Gil, Inigo
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2014, 50 (02) : 1233 - 1244
  • [50] Virtual shaft control of hybrid energy storage for oscillation suppression by transient energy capture
    Zhang, Xiangyu
    Liu, Huazhi
    Fu, Yuan
    Cao, Yabo
    Li, Yonggang
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 157