Adaptive Intelligent Model Predictive Control for Microgrid Load Frequency

被引：3
|
作者：
Zhao, Dong [1 ]
Sun, Shuyan [1 ]
Mohammadzadeh, Ardashir [2 ]
Mosavi, Amir [3 ,4 ,5 ]
机构：
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China
[2] Shenyang Univ Technol, Multidisciplinary Ctr Infrastruct Engn, Shenyang 110870, Peoples R China
[3] Tech Univ Dresden, Fac Civil Engn, D-01067 Dresden, Germany
[4] Obuda Univ, John von Neumann Fac Informat, H-1034 Budapest, Hungary
[5] Slovak Univ Technol Bratislava, Inst Informat Engn Automat & Math, Bratislava 81237, Slovakia
来源：
SUSTAINABILITY | 2022年 / 14卷 / 18期
关键词：
type-2; fuzzy; renewable energy; diesel; battery; frequency control; model predictive control; artificial intelligence; soft computing; predictive control; energy; FUZZY-LOGIC; SYSTEM; PV;
D O I：
10.3390/su141811772
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In this paper, self-tuning model predictive control (MPC) based on a type-2 fuzzy system for microgrid frequency is presented. The type-2 fuzzy system calculates the parameters and coefficients of the control system online. In the microgrid examined, there are sources of photovoltaic power generation, wind, diesel, fuel cells (with a hydrogen electrolyzer), batteries and flywheels. In simulating the load changes, changes in the production capacity of solar and wind resources as well as changes (uncertainty) in all parameters of the microgrid are considered. The performances of three control systems including traditional MPC, self-tuning MPC based on a type-1 fuzzy system and self-tuning MPC based on a type-2 fuzzy system are compared. The results show that type-2 fuzzy MPC has the best performance, followed by type-1 fuzzy MPC, with a slight difference between the two results.
引用
收藏
页数：14
相关论文
共 50 条
  • [21] Economic Model Predictive Control for Microgrid Optimization: A Review
    Hu, Jiefeng
    Shan, Yinghao
    Yang, Yong
    Parisio, Alessandra
    Li, Yong
    Amjady, Nima
    Islam, Syed
    Cheng, Ka Wai
    Guerrero, Josep M.
    Rodriguez, Jose
    IEEE TRANSACTIONS ON SMART GRID, 2024, 15 (01) : 472 - 484
  • [22] Adaptive intelligent techniques for microgrid control systems: A survey
    Mahmoud, Magdi S.
    Alyazidi, Nezar M.
    Abouheaf, Mohamed I.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2017, 90 : 292 - 305
  • [23] A comprehensive analysis of intelligent controllers for load frequency control
    Mathur, H. D.
    Ghosh, S.
    2006 IEEE POWER INDIA CONFERENCE, VOLS 1 AND 2, 2006, : 217 - +
  • [24] Frequency Regulation of Microgrid with Renewable Sources Using Intelligent Adaptive Virtual Inertia Control Approach
    Kumar, S. Nanda
    Mohanty, Nalin Kant
    Dash, Subhransu Sekhar
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2023,
  • [25] Energy management for multi-microgrid system based on model predictive control
    Hu, Ke-yong
    Li, Wen-juan
    Wang, Li-dong
    Cao, Shi-hua
    Zhu, Fang-ming
    Shou, Zhou-xiang
    FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2018, 19 (11) : 1340 - 1351
  • [26] A novel adaptive intelligent MPC scheme for frequency stabilization of a microgrid considering SoC control of EVs
    Khokhar, Bhuvnesh
    Parmar, K. P. Singh
    APPLIED ENERGY, 2022, 309
  • [27] A Multi Microgrid Intelligent Generation Control Strategy with Electric vehicles Based on Evolutionary Model Predictive Control
    Fan P.
    Yang J.
    Wen Y.
    Ke S.
    Xie L.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2024, 39 (03): : 699 - 713
  • [28] Optimal Demand Response Management of a Residential Microgrid Using Model Predictive Control
    Freire, Vlademir A.
    Ramos De Arruda, Lucia Valeria
    Bordons, Carlos
    Jose Marquez, Juan
    IEEE ACCESS, 2020, 8 : 228264 - 228276
  • [29] Home Energy Management for a AC/DC Microgrid Using Model Predictive Control
    Freire, Vlademir A.
    de Arruda, Lucia Valeria R.
    Bordons, Carlos
    Teno, Guillermo
    2019 2ND INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST 2019), 2019,
  • [30] Coordinated PHEV, PV, and ESS for Microgrid Frequency Regulation Using Centralized Model Predictive Control Considering Variation of PHEV Number
    Pahasa, J.
    Ngamroo, I
    IEEE ACCESS, 2018, 6 : 69151 - 69161
12345