Real time validation of a control system for microgrids with distributed generation and storage resources

被引:4
|
作者
Archetti, Joao Antonio Guedes [1 ]
Silva Junior, Dalmo C. [1 ,2 ]
de Medeiros, Lucio [3 ]
Salamanca, Henry L. L. [3 ]
Fuchs, Leonardo [3 ]
de Oliveira, Leonardo Willer [1 ]
Oliveira, Janaina G. [1 ,4 ]
机构
[1] Univ Fed Juiz de Fora, Elect Engn Program, Multiplatform Simulat Lab, Juiz De Fora, MG, Brazil
[2] Acad Univ Ctr, Juiz De Fora, MG, Brazil
[3] Lactec Inst, Curitiba, PR, Brazil
[4] Uppsala Univ, Dept Elect Engn, Div Elect, Uppsala, Sweden
关键词
Microgrid; Storage system; Distributed generation; Control-hardware-in-the-loop; Active network distributed; ACTIVE DISTRIBUTION NETWORKS; POWER; SMART; MODEL; HEAT;
D O I
10.1016/j.epsr.2023.109683
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
Faced with a scenario in which the increase in renewable energy generated near consumer centers can cause problems for the operation of the electrical network, the present work proposes a real-time simulation model for automation and control systems of electrical distribution networks with microgrids, distributed generation, and storage resources. The proposed model consists of a hardware-in-the-loop control with the aid of a simulation tool in conjunction with a Real-Time Digital Simulator (RTDS) and considers the dynamic behavior of switched elements and inverters. A communication platform using TCP/IP protocol between RTDS (power system) and MatLab/Simulink (optimization algorithms) allows the operation of the network in grid-connected and islanded mode, guaranteeing the computational time for experimental implementation. For the first mode, an algorithm is proposed to solve an optimal dispatch energy storage system problem. Second mode, an algorithm is proposed to solve a load shedding problem. The objective is to operate the microgrids optimally and evaluate the performance of a storage system based on real data from the state of Parana, in Brazil. Results show that the optimization algorithms are experimentally applicable, obtaining reasonable computational time to find optimal solutions and an assertive decision-making to meet the objectives. Thus, the proposed framework is a potential tool to validate algorithms for active management of microgrids in real-time simulation.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Intelligent Electronic System to Control the Interconnection between Distributed Generation Resources and Power Grid
    Real-Calvo, Rafael
    Moreno-Munoz, Antonio
    Pallares-Lopez, Victor
    Gonzalez-Redondo, Miguel J.
    Moreno-Garcia, Isabel M.
    Palacios-Garcia, Emilio J.
    REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL, 2017, 14 (01): : 56 - 69
  • [42] Self-Triggered Communication Enabled Control of Distributed Generation in Microgrids
    Tahir, Muhammad
    Mazumder, Sudip K.
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2015, 11 (02) : 441 - 449
  • [43] A local energy management of a hybrid PV-storage based distributed generation for microgrids
    Choudar, Adel
    Boukhetala, Djamel
    Barkat, Said
    Brucker, Jean-Michel
    ENERGY CONVERSION AND MANAGEMENT, 2015, 90 : 21 - 33
  • [44] Distributed generation system control strategies with PV and fuel cell in microgrid operation
    Bai, Wenlei
    Abedi, M. Reza
    Lee, Kwang Y.
    CONTROL ENGINEERING PRACTICE, 2016, 53 : 184 - 193
  • [45] Real-time Distributed Economic Dispatch for Distributed Generation Based on Multi-Agent System
    Luo, Kui
    Wu, Qiuwei
    Jacob, Ostergaard
    Hejde, Nielsen Arne
    2015 MODERN ELECTRIC POWER SYSTEMS (MEPS), 2015,
  • [46] Size Optimization of Distributed Generation Resources in Microgrids with Considering Uncertainty Units Based on Scenario Tree
    S. M. S. Hosseinimoghadam
    Masoud Dashtdar
    M. E. N. Bushehri
    Majid Dashtdar
    Automatic Control and Computer Sciences, 2021, 55 : 92 - 101
  • [47] Size Optimization of Distributed Generation Resources in Microgrids with Considering Uncertainty Units Based on Scenario Tree
    Hosseinimoghadam, S. M. S.
    Dashtdar, Masoud
    Bushehri, M. E. N.
    Dashtdar, Majid
    AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2021, 55 (01) : 92 - 101
  • [48] Energy management in microgrids considering the demand response in the presence of distributed generation resources on the IoT platform
    Bolurian, Amirhossein
    Akbari, Hamidreza
    Daemi, Tahereh
    Mirjalily, Seyed Ali Agha
    Mousavi, Somayeh
    ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY, 2022, 17 (01)
  • [49] Real-Time Implementation of Secure Distributed State Estimation for Networked Microgrids
    Cintuglu, Mehmet
    Kondabathini, Anil
    Ishchenko, Dmitry
    2020 IEEE 6TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2020,
  • [50] A study of electric power quality using storage system in distributed generation
    Yukita, Kazuto
    Goto, Yasuyuki
    Ichiyanagi, Katsuhiro
    Hirose, Kenichi
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL POWER QUALITY AND UTILISATION, VOLS 1 AND 2, 2007, : 602 - +