Dynamic Safety Constraints by Scenario-Based Economic Model Predictive Control of Marine Electric Power Plants

被引:10
|
作者
Bo, Torstein I. [1 ]
Johansen, Tor Arne [1 ]
机构
[1] Norwegian Univ Sci & Technol, Ctr Autonomous Marine Operat & Syst, Dept Engn Cybernet, N-7491 Trondheim, Norway
关键词
Diesel-driven generators; fault tolerance; fuel optimal control; marine vehicle power systems; power generation control; predictive control; FRAMEWORK;
D O I
10.1109/TTE.2016.2628786
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
This paper studies scenario-based model predictive control (MPC) for dynamic safety constraints. For marine electric power plant with direct current distribution and variable speed generator set, the speed of the generator sets should be as low as possible to increase the efficiency of the diesel engines. However, a safety margin toward underspeed is necessary. In this paper, a dynamical safety constraint is achieved by including a fault scenario in the MPC formulation. This is done using a nominal trajectory of the predicted states for the fault-free operation, and adding fault trajectories starting from the samples of the nominal trajectory. The fault trajectories simulate the fault scenario and dynamically constrain the nominal trajectory. The controller is shown to be effective using closed-loop simulations of a marine electric power plant.
引用
收藏
页码:13 / 21
页数:9
相关论文
共 50 条
  • [21] Scenario-based Model Predictive Control Approach for Heating Systems in an Office Building
    Pippia, Tomas
    Lago, Jesus
    De Coninck, Roel
    Sijs, Joris
    De Schutter, Bart
    2019 IEEE 15TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2019, : 1243 - 1248
  • [22] Scenario-Based Approach to Stochastic Linear Predictive Control
    Matusko, Jadranko
    Borrelli, Francesco
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 5194 - 5199
  • [23] Model Predictive Control of Nonlinear Latent Force Models: A Scenario-Based Approach
    Woodruff, Thomas
    Askari, Iman
    Wang, Guanghui
    Fang, Huazhen
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 7365 - 7371
  • [24] A Distributed Algorithm for Scenario-based Model Predictive Control using Primal Decomposition
    Krishnamoorthy, Dinesh
    Foss, Bjarne
    Skogestad, Sigurd
    IFAC PAPERSONLINE, 2018, 51 (18): : 351 - 356
  • [25] Scenario-based Stochastic Model Predictive Control forWind Energy Conversion System
    Zhou, Yang
    Shi, Yuntao
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 6222 - 6227
  • [26] Scenario-based dynamic economic emission dispatch considering load and wind power uncertainties
    Aghaei, Jamshid
    Niknam, Taher
    Azizipanah-Abarghooee, Rasoul
    Arroyo, Jose M.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 47 : 351 - 367
  • [27] Economic assessment of virtual power plants in the German energy market- A scenario-based and model-supported analysis
    Lossner, Martin
    Boettger, Diana
    Bruckner, Thomas
    ENERGY ECONOMICS, 2017, 62 : 125 - 138
  • [28] Scenario-based Nonlinear Model Predictive Control for Switched Systems with Externally Forced Switchings
    Katayama, Sotaro
    Ohtsuka, Toshiyuki
    2018 57TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2018, : 1098 - 1103
  • [29] Scenario-based model predictive control for multi-echelon supply chain management
    Schildbach, Georg
    Morari, Manfred
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 252 (02) : 540 - 549
  • [30] Scenario-Based Probabilistic Reachable Sets for Recursively Feasible Stochastic Model Predictive Control
    Hewing, Lukas
    Zeilinger, Melanie N.
    IEEE CONTROL SYSTEMS LETTERS, 2020, 4 (02): : 450 - 455