Modeling Reserve Ancillary Service as Virtual Energy Carrier in Multi-Energy Systems

被引:1
|
作者
Damavandi, M. Y. [1 ,2 ]
Moghaddam, Mohsen Parsa [1 ]
Haghifam, M. -R. [1 ]
Shafie-khah, M. [2 ]
Catalao, Joao P. S. [2 ,3 ,4 ]
机构
[1] TMU, Tehran, Iran
[2] Univ Beira Interior, Covilha, Portugal
[3] INESC ID, Lisbon, Portugal
[4] Inst Super Tecn, Lisbon, Portugal
关键词
Energy hub model; Multi-energy system; Reserve ancillary service; DEMAND RESPONSE; CHP SYSTEMS; HUBS;
D O I
10.1007/978-3-319-16766-4_46
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Multi-energy systems (MES) are considered various energy carriers and energy players in an integrated energy model. Vast amount of decision making data is gathered in these systems that cannot be processed by conventional methods. Cloud-based computing is an opportunity to develop these kinds of integrated and efficient approaches. Developing mathematical models that can be compatible with cloud-based engineering systems will help decision makers to enhance the system agendas in short to long term studies. In this paper, the energy hub approach is developed to consider electric reserve ancillary service in MES. The reserve is modeled as a virtual energy output that can be injected into the upstream network. The reserve service is defined for electric energy converters and storages, comprehensively. Therefore, the energy hub mathematical model is developed and new elements are added to the input and output vectors and system conversion matrix. For energy converters, reserve is defined as the capability of the converter to increase its output service to its maximum operational limits. Moreover, for electric storages this capability is also restricted by storages' state of charges. The numerical results demonstrate the importance of reserve considerations in MESs and allow assessing the proficiency of the proposed model.
引用
收藏
页码:431 / 439
页数:9
相关论文
共 50 条
  • [41] Energy Flexibility as Additional Energy Source in Multi-Energy Systems with District Cooling
    Mugnini, Alice
    Coccia, Gianluca
    Polonara, Fabio
    Arteconi, Alessia
    ENERGIES, 2021, 14 (02)
  • [42] Energy Management of Multi-Energy Storage Systems Using Energy Path Decomposition
    Aznavi, Sima
    Fajri, Poria
    Asrari, Arash
    Sabzehgar, Reza
    2019 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2019, : 5747 - 5752
  • [43] Energy hub modelling for multi-scale and multi-energy supply systems
    Jayasuriya, Lahiru
    Chaudry, Modassar
    Qadrdan, Meysam
    Wu, Jianzhong
    Jenkins, Nick
    2019 IEEE MILAN POWERTECH, 2019,
  • [44] System Modeling and Optimal Dispatching of Multi-energy Microgrid with Energy Storage
    Liting Tian
    Lin Cheng
    Jianbo Guo
    Kuihua Wu
    JournalofModernPowerSystemsandCleanEnergy, 2020, 8 (05) : 809 - 819
  • [45] Large-Scale Modeling and Optimization Strategy for Multi-Energy Management Systems
    Setyawan, Leonardy
    Tan, James
    Ding, Shuya
    Raynaud, Eric
    Jing, Hsu Wen
    2018 ASIAN CONFERENCE ON ENERGY, POWER AND TRANSPORTATION ELECTRIFICATION (ACEPT), 2018,
  • [46] Distribution Systems Restoration with Multi-Energy Synergy
    Chen H.
    Cong Q.
    Jiang T.
    Zhang R.
    Li X.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2022, 37 (03): : 610 - 622and685
  • [47] Network Flow Model for Multi-Energy Systems
    Schulze, Matthias
    Gasparovic, Goran
    RECENT ADVANCES IN ENERGY AND ENVIRONMENT, 2010, : 172 - +
  • [48] Electric vehicle management in multi-energy systems
    Ahmad, Furkan
    Panigrahi, Bijaya Ketan
    Longo, Michela
    Al-Fagih, Luluwah
    Alam, Mohammad Saad
    Gaber, Hossam A.
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2025, 41
  • [49] A Matheuristic for the Design and Management of Multi-energy Systems
    Bartolini, A.
    Comodi, G.
    Marinelli, F.
    Pizzuti, A.
    Rosetti, R.
    OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS, ICORES 2019, 2020, 1162 : 171 - 188
  • [50] A Conversion Model for Nodes in Multi-Energy Systems
    Long, Sebastian
    Parisio, Alessandra
    Marjanovic, Ognjen
    2017 IEEE MANCHESTER POWERTECH, 2017,