Flexibility From Distributed Multienergy Systems

被引:73
作者
Chicco, Gianfranco [1 ]
Riaz, Shariq [2 ]
Mazza, Andrea [1 ]
Mancarella, Pierluigi [2 ,3 ]
机构
[1] Politecn Torino, Dipartimento Energia Galileo Ferraris, I-10129 Turin, Italy
[2] Univ Melbourne, Dept Elect & Elect Engn, Melbourne, Vic 3010, Australia
[3] Univ Manchester, Dept Elect & Elect Engn, Manchester M13 9PL, Lancs, England
基金
英国工程与自然科学研究理事会;
关键词
Cogeneration; Power systems; Resistance heating; Cooling; Hydrogen; Electric potential; Fuels; Energy resources; Mathematical modeling; Systematics; Energy hub; energy systems integration; flexibility; grid services; hydrogen; multienergy arbitrage; multienergy node; multienergy system; power node; power-togas; power-to-heat; virtual battery; POWER-TO-GAS; DEMAND RESPONSE; OPERATIONAL FLEXIBILITY; RENEWABLE POWER; HEAT; NETWORKS; MULTIGENERATION; QUANTIFICATION; OPTIMIZATION; TECHNOLOGIES;
D O I
10.1109/JPROC.2020.2986378
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
Multienergy systems (MES), in which multiple energy vectors are integrated and optimally operated, are key assets in low-carbon energy systems. Multienergy interactions of distributed energy resources via different energy networks generate the so-called distributed MES (DMES). While it is now well recognized that DMES can provide power system flexibility by shifting across different energy vectors, it is essential to have a systematic discussion on the main features of such flexibility. This article presents a comprehensive overview of DMES modeling and characterization of flexibility applications. The concept of "multienergy node" is introduced to extend the power node model, used for electrical flexibility, in the multienergy case. A general definition of DMES flexibility is given, and a general mathematical and graphical modeling framework, based on multidimensional maps, is formulated to describe the operational characteristics of individual MES and aggregate DMES, including the role of multienergy networks in enabling or constraining flexibility. Several tutorial examples are finally presented with illustrative case studies on current and future DMES practical applications.
引用
收藏
页码:1496 / 1517
页数:22
相关论文
共 76 条
  • [1] Co-electrolysis for power-to-methanol applications
    Andika, Riezqa
    Nandiyanto, Asep Bayu Dani
    Putra, Zulfan Adi
    Bilad, Muhammad Roil
    Kim, Young
    Yun, Choa Mun
    Lee, Moonyong
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 95 : 227 - 241
  • [2] [Anonymous], 2005, GAS PIPELINE HYDRAUL, DOI DOI 10.1201/9781420038224
  • [3] Gas-Constrained Secure Reserve Allocation With Large Renewable Penetration
    Antenucci, Andrea
    Sansavini, Giovanni
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (02) : 685 - 694
  • [4] Optimal response of a thermal unit to an electricity spot market
    Arroyo, JM
    Conejo, AJ
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2000, 15 (03) : 1098 - 1104
  • [5] Power-to-heat for renewable energy integration: A review of technologies, modeling approaches, and flexibility potentials
    Bloess, Andreas
    Schill, Wolf-Peter
    Zerrahn, Alexander
    [J]. APPLIED ENERGY, 2018, 212 : 1611 - 1626
  • [6] Buffo G, 2019, SOLAR HYDROGEN PRODUCTION: PROCESSES, SYSTEMS AND TECHNOLOGIES, P529, DOI 10.1016/B978-0-12-814853-2.00015-1
  • [7] Optimal Operation of District Heating Networks Through Demand Response
    Capone, M.
    Guelpa, E.
    Verda, V.
    [J]. INTERNATIONAL JOURNAL OF THERMODYNAMICS, 2019, 22 (01) : 35 - 43
  • [8] Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options
    Capuder, Tomislav
    Mancarella, Pierluigi
    [J]. ENERGY, 2014, 71 : 516 - 533
  • [9] Ceseña EAM, 2019, IEEE ELECTRIF MAG, V7, P12, DOI 10.1109/MELE.2019.2908890
  • [10] Energy Systems Integration in Smart Districts: Robust Optimisation of Multi-Energy Flows in Integrated Electricity, Heat and Gas Networks
    Cesena, Eduardo Alejandro Martinez
    Mancarella, Pierluigi
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (01) : 1122 - 1131