Transactive Energy Systems: The Market-Based Coordination of Distributed Energy Resources

被引:45
|
作者
Li, Sen [1 ,2 ]
Lian, Jianming [3 ,4 ]
Conejo, Antonio J. [5 ,6 ]
Zhang, Wei [7 ,8 ,9 ]
机构
[1] Univ Calif Berkeley, Berkeley, CA 94720 USA
[2] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
[3] Florida State Univ, Ctr Adv Power Syst, Tallahassee, FL 32306 USA
[4] Pacific Northwest Natl Lab PNNL, Optimizat & Control Grp, Anal Team, Richland, WA 99352 USA
[5] Ohio State Univ, Integrated Syst Engn Dept, Columbus, OH 43210 USA
[6] Ohio State Univ, Elect & Comp Engn Dept, Columbus, OH 43210 USA
[7] Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen, Peoples R China
[8] Univ Calif Berkeley, Elect Engn & Comp Sci Dept, Berkeley, CA 94720 USA
[9] Ohio State Univ, Elect & Comp Engn, Columbus, OH 43210 USA
来源
IEEE CONTROL SYSTEMS MAGAZINE | 2020年 / 40卷 / 04期
基金
美国国家科学基金会;
关键词
MODIFIED SIMPLEX APPROACH; DEMAND RESPONSE; CONSENSUS ALGORITHM; ELECTRICITY MARKET; ECONOMIC-DISPATCH; POWER MANAGEMENT; VOTING SCHEMES; SOCIAL-WELFARE; BILEVEL; STACKELBERG;
D O I
10.1109/MCS.2020.2990514
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to pressing environmental concerns, there is a global consensus to commit to a sustainable energy future. Germany has embraced Energiewende, a bold sustainable energy policy of no operational nuclear plants by 2022. California has set an ambitious goal that mandates 50% renewable penetration by 2025, 60% by 2030, and 100% by 2045 [1]. The vast integration of renewable energy into the power grid imposes daunting challenges on the conventional supply-side control paradigm. First, renewable energy is intermittent and uncertain. Integrating renewable energy will reduce the system inertia, inject undesirable variability, and substantially increase the need for system reserves. These reserves are typically provided by conventional generators. However, conventional generators have limited capacity and ramping rate, and they produce carbon emissions that defeat the carbon benefit of renewable integration. On the other hand, the increasing penetration of renewable energy also squeezes the response time needed to balance the power grid. That is, the time required to make critical operating decisions is decreasing from minutes to seconds and, in some cases, even subseconds due to the increasing variability of supply and demand. The shorter response time for decision making places significant challenges on the conventional power grid, which requires human interaction.
引用
收藏
页码:26 / 52
页数:27
相关论文
共 50 条
  • [21] Market-Based Resource Allocation of Distributed Cloud Computing Services: Virtual Energy Storage Systems
    Tao, Yuechuan
    Qiu, Jing
    Lai, Shuying
    Sun, Xianzhuo
    Zhao, Junhua
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (22) : 22811 - 22821
  • [22] Transactive Control and Coordination of Multiple Integrated Energy Systems
    Ji, Minjie
    Zhang, Peichao
    2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
  • [23] Multiagent based transactive energy market model
    Abdulmohsen, Ahmed M.
    Omran, Walid A.
    El-baz, Wessam
    Abdel-Rahman, Mohamed
    Ezzat, Mohamed
    AIN SHAMS ENGINEERING JOURNAL, 2024, 15 (06)
  • [24] Market-based Co-optimization of Energy and Ancillary Services with Distributed Energy Resource Flexibilities
    Ma, Ke
    Wang, Dexin
    Lian, Jianming
    Wu, Di
    Katipamula, Srinivas
    2020 IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION (T&D), 2020,
  • [25] Optimal scheduling of distributed energy resources as a virtual power plant in a transactive energy framework
    Qiu, Jing
    Meng, Ke
    Zheng, Yu
    Dong, Zhao Yang
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (13) : 3417 - 3427
  • [26] Decentralized Transactive Energy for Flexible Resources in Distribution Systems
    Bedoya, Juan Carlos
    Ostadijafari, Mohammad
    Liu, Chen-Ching
    Dubey, Anamika
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2021, 12 (02) : 1009 - 1019
  • [27] Market-based Coordination of Coupled Robot Systems
    Xu, Ling
    Stentz, Anthony
    2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2011, : 2784 - 2789
  • [28] Optimal Scheduling of Distributed Energy Resources in Energy Market
    Basu, Srinka
    Ghosh, Soumyadip
    Banerjee, Avishek
    Maulik, Ujjwal
    2015 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2015,
  • [29] Transactive energy systems for distributed blackstart and service recovery
    Bhattarai, Bishnu
    Chalishazar, Vishvas
    Hammerstrom, Donald
    Maharjan, Manisha
    IET SMART GRID, 2021, 4 (05) : 489 - 499
  • [30] Market design for integration of renewables into transactive energy systems
    Ghorani, Rahim
    Farzin, Hossein
    Fotuhi-Firuzabad, Mahmud
    Wang, Fei
    IET RENEWABLE POWER GENERATION, 2019, 13 (14) : 2502 - 2511