Using Model Predictive Control to Interact Distributed Power Markets and Grids

被引：0
|
作者：
Ding, Yong [1 ]
Stamm, Erwin [1 ]
Beigl, Michael [1 ]
机构：
[1] Karlsruhe Inst Technol, Inst Telemat, TECO, Karlsruhe, Germany
来源：
2016 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON) | 2016年
关键词：
Closed-loop feedback control; locational marginal pricing; market-grid-coupling; model predictive control; agent system; SMART GRIDS; NETWORKS; FLOW;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In our previous work, a real-time market-grid-coupling is proposed for interconnecting the physical grid and the economic market in a decoupled control loop. In this paper, we extend our feedback control framework with a distributed model predictive control approach for coupling distributed power markets and grids, in order to investigate the mutual influence between them with respect to both price and supply-demand-balance stability. The main contribution of the paper focuses on the mathematical model of a distributed feedback control system for an interoperable control between distributed market and grid units. The controller objective refers to a concurrent market price and power dispatch stabilization through maximizing the total social welfare. Finally, we demonstrate simulation-based numerical results to show the capability of proposed collaborative model predictive control feedback loops towards the impact of an optimal dynamic dispatch on the market price stability.
引用
收藏
页数：6
相关论文
共 50 条
  • [41] Model-Free Predictive Power Control for PWM Rectifiers under Asymmetrical Grids
    Wang, Zeting
    Qu, Qiyan
    Zhang, Yongchang
    Min, Zeyu
    [J]. SYMMETRY-BASEL, 2022, 14 (06):
  • [42] Decentralised Model Predictive Control with Integral Sliding Mode for Frequency Regulation in Power Grids
    Rinaldi, Gianmario
    Ferrara, Antonella
    [J]. 2020 EUROPEAN CONTROL CONFERENCE (ECC 2020), 2020, : 1885 - 1890
  • [43] Model Predictive Control of Energy Storage Systems for Power Tracking and Shaving in Distribution Grids
    Di Giorgio, Alessandro
    Liberati, Francesco
    Lanna, Andrea
    Pietrabissa, Antonio
    Priscoli, Francesco Delli
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2017, 8 (02) : 496 - 504
  • [44] Power Management and Control of HEV using Model Predictive Control
    Chakraborty, Pinaki
    Moulik, Bedatri
    [J]. 2018 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), 2018, : 209 - 214
  • [45] A Model Predictive Power Control Method with Longer Prediction Horizon for Distributed Power Generations
    Aghdam, Mahlagha Mahdavi
    Li, Li
    Zhu, Jianguo
    [J]. 2016 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV), 2016,
  • [46] Building temperature regulation using a distributed model predictive control
    Morosan, Petru-Daniel
    Bourdais, Romain
    Dumur, Didier
    Buisson, Jean
    [J]. ENERGY AND BUILDINGS, 2010, 42 (09) : 1445 - 1452
  • [47] Building Energy Allocation Using Distributed Model Predictive Control
    Li, Hongyi
    Xu, Jun
    [J]. 2023 2ND CONFERENCE ON FULLY ACTUATED SYSTEM THEORY AND APPLICATIONS, CFASTA, 2023, : 166 - 171
  • [48] Distributed Model Predictive Control Using Cooperative Contract Options
    Blasi, Svenja
    Koegel, Markus
    Findeisen, Rolf
    [J]. IFAC PAPERSONLINE, 2018, 51 (20): : 448 - 454
  • [49] Robust distributed model predictive control for load frequency control of uncertain power systems
    Zhang, Yi
    Liu, Xiang-Jie
    [J]. Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2016, 33 (05): : 621 - 630
  • [50] Distributed Model Predictive Control Algorithms for Emergency Voltage Stability Control of Power Systems
    Liu, Shuiping
    Li, Yong
    Cao, Yijia
    Shi, Xingyu
    [J]. 2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 2597 - 2600
12345