Intelligent control for energy storage systems

被引:0
|
作者
Kaymakci C. [1 ]
Laribi R. [1 ]
Sauer A. [1 ,2 ]
机构
[1] Sauer Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA, Nobelstr. 12, Stuttgart
[2] Universität Stuttgart Institut für Energieeffizienz in der Produktion (EEP), Nobelstr. 12,, Stuttgart
来源
WT Werkstattstechnik | 2021年 / 111卷 / 03期
关键词
Electric energy storage - Electric power plant loads - Virtual storage;
D O I
10.37544/1436-4980-2021-03-75
中图分类号
学科分类号
摘要
In numerous mechatronic applications it is possible to apply electricity storage devices for reducing the necessary installed load and increasing energy efficiency and thus to make use of the braking energy. The integration of an electricity storage system into a third-party machine is challenging with regard to the commissioning of hardware and software. An intelligent control system facilitates system identification based on measurement data and load forecasting within the mechatro-nic system. This article explains a procedure for pre-selecting suitable methods for load forecasting models. © 2021, VDI Fachmedien GmBbH & Co.. All rights reserved.
引用
收藏
页码:167 / 171
页数:4
相关论文
共 50 条
  • [41] Optimal Control of Wind Power Systems with Energy Storage
    Venzke, Andreas
    Fortenbacher, Philipp
    Andersson, Goran
    2016 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON), 2016,
  • [42] A Unified Approach to the Sizing and Control of Energy Storage Systems
    Sudha, Gayathri Nair
    Senroy, Nilanjan
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2017, 45 (07) : 693 - 704
  • [43] Damping Control for Power Systems Using Energy Storage
    Zhu, Yongli
    Wang, Bin
    Sun, Kai
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 3730 - 3735
  • [44] Energy management of the hybrid power system based on improved intelligent Perturb and Observe control using battery storage systems
    Djilali, Abdelkadir Belhadj
    Yahdou, Adil
    Bounadja, Elhadj
    Benbouhenni, Habib
    Zellouma, Dalal
    Colak, Ilhami
    ENERGY REPORTS, 2024, 11 : 1611 - 1626
  • [45] A novel intelligent optimal control methodology for energy balancing of microgrids with renewable energy and storage batteries
    Alghamdi, Hisham
    Khan, Taimoor Ahmad
    Hua, Lyu-Guang
    Hafeez, Ghulam
    Khan, Imran
    Ullah, Safeer
    Khan, Farrukh Aslam
    JOURNAL OF ENERGY STORAGE, 2024, 90
  • [46] Intelligent Control of Battery Energy Storage for Multi-Agent Based Microgrid Energy Management
    Yoo, Cheol-Hee
    Chung, Il-Yop
    Lee, Hak-Ju
    Hong, Sung-Soo
    ENERGIES, 2013, 6 (10) : 4956 - 4979
  • [47] A New Energy Management Control Method for Energy Storage Systems in Microgrids
    Hajebrahimi, Hadis
    Kaviri, Sajjad Makhdoomi
    Eren, Suzan
    Bakhshai, Alireza
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (11) : 11612 - 11624
  • [48] An energy management approach for smart-grids using intelligent storage systems
    Klaimi, Joelle
    Merghem-Boulahia, Leila
    Rahim-Amoud, Rana
    Jrad, Akil
    2015 FIFTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION AND COMMUNICATION TECHNOLOGY AND ITS APPLICATIONS (DICTAP), 2015, : 26 - 31
  • [49] Automated and Intelligent Data Migration Strategy in High Energy Physical Storage Systems
    Cheng, Zhenjing
    Cheng, Yaodong
    Wang, Lu
    Hu, Qingbao
    Li, Haibo
    Xu, Qi
    Chen, Gang
    BIG SCIENTIFIC DATA MANAGEMENT, 2019, 11473 : 137 - 145
  • [50] Assessment of Power System Resiliency with New Intelligent Controller and Energy Storage Systems
    Murali, Sariki
    Shankar, Ravi
    Sharma, Prateek
    Singh, Shivam
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2024, 52 (08) : 1414 - 1436