Design and Implementation of Model Predictive Control for Parallel Distributed Energy Resource in Islanded AC Microgrids

被引:0
|
作者
Khan, Hussain Sarwar [1 ]
Kumar, Jagdesh [1 ]
Kauhaniemi, Kimmo [1 ]
机构
[1] Univ Vaasa, Sch Technol & Innovat, Vaasa, Finland
关键词
Distributed Energy Resource (DER); Model Predictive Control (MPC); Primary Control of MG; INVERTER; GENERATION;
D O I
10.1109/EGRID52793.2021.9662156
中图分类号
学科分类号
摘要
This study proposes the voltage control strategy for distributed energy resource (DER) in islanded AC microgrids (MG). Typically, AC MG can maintain a constant voltage at the point of common coupling (PCC) as well as perform power-sharing among the DERs. However, linear controllers have several restrictions such as slow transient response, poor disturbance rejection capability etc. Therefore, this study presents an FCS-MPC for a DER with effective voltage regulation capability. The investigated work demonstrates excellent steady-state performance, a low computational burden, better response under transients and have low switching frequency as compared to linear control. First, the benefits of FCS-MPVC for single DER has been studied, then the same topology along with droop control is employed for multiple DERs in AC MG to serve the load. Droop control shows improved power-sharing among the DERs. The performance of the proposed control technique is demonstrated through MATLAB/Simulink simulations for single DG and AC MG under linear, non-linear loading conditions.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] Distributed Event-Triggered Control for Islanded Microgrids: Cyber-Physical Design and Implementation
    Wang, Yu
    Tung Lam Nguyen
    Xu, Yan
    Li, Zhengmao
    Quoc-Tuan Tran
    Caire, Raphael
    [J]. 2019 IEEE/IAS 55TH INDUSTRIAL AND COMMERCIAL POWER SYSTEMS TECHNICAL CONFERENCE (I&CPS), 2019, : 152 - 160
  • [32] Control of Microgrids with Distributed Energy Storage Operating in Islanded Mode
    Sun, Chu
    Joos, Geza
    Bouffard, Francois
    [J]. 2017 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC), 2017, : 474 - 480
  • [33] Control Strategy for Dispatchable Distributed Energy Resources in Islanded Microgrids
    Gholami, Sasan
    Aldeen, Mohammad
    Saha, Sajeeb
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (01) : 141 - 152
  • [34] MIMO Model Predictive Control for Demand Management in Islanded Water-Energy Microgrids
    Putri, Saskia A.
    Jiang, Menglin
    Moazeni, Faegheh
    Khazaei, Javad
    [J]. 2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM, 2023,
  • [35] Distributed Direct Power Sliding-Mode Control for Islanded AC Microgrids
    Alfaro, Carlos
    Guzman, Ramon
    Garcia de Vicuna, Luis
    Komurcugil, Hasan
    Martin, Helena
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (10) : 9700 - 9710
  • [36] Resilient distributed secondary control for islanded AC microgrids under FDI attacks
    Cai, Xin
    Gao, Bingpeng
    Nan, Xinyuan
    [J]. Electric Power Systems Research, 2025, 238
  • [37] Distributed Control of Islanded Meshed Microgrids
    Hennane, Youssef
    Pierfederici, Serge
    Berdai, Abdelmajid
    Meibody-Tabar, Farid
    Martin, Jean-Philippe
    [J]. IEEE ACCESS, 2023, 11 : 78262 - 78272
  • [38] Decentralized Model Predictive Voltage Control of Islanded DC Microgrids
    Abbasi, Milad
    Dehkordi, Nima Mandian
    Sadati, Nasser
    [J]. 2020 11TH POWER ELECTRONICS, DRIVE SYSTEMS, AND TECHNOLOGIES CONFERENCE (PEDSTC), 2020,
  • [39] A Fuzzy Inference Model for Distributed Secondary Control of Islanded Microgrids
    Ahmadi, Saleh
    Nazarpour, Daryoosh
    Shafiee, Qobad
    Bevrani, Hassan
    [J]. 2016 24TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2016, : 1233 - 1238
  • [40] Distributed Robust Model Predictive Control-Based Energy Management Strategy for Islanded Multi-Microgrids Considering Uncertainty
    Zhao, Zhuoli
    Guo, Juntao
    Luo, Xi
    Lai, Chun Sing
    Yang, Ping
    Lai, Loi Lei
    Li, Peng
    Guerrero, Josep M.
    Shahidehpour, Mohammad
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2022, 13 (03) : 2107 - 2120