Energy Management Strategy for DC Micro-Grid System with the Important Penetration of Renewable Energy

被引:1
|
作者
Ndeke, Christian Bipongo [1 ]
Adonis, Marco [1 ]
Almaktoof, Ali [1 ]
机构
[1] Cape Peninsula Univ Technol, Dept Elect Elect & Comp Engn, ZA-7535 Cape Town, South Africa
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 06期
关键词
energy management system; DC microgrid; renewable energy; distributed generation; STORAGE;
D O I
10.3390/app14062659
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This paper presents an energy management strategy using a Stateflow controller related to DC microgrids with the important penetration of renewable energy. The increase in world electricity demand is one of the principal drivers of the exhaustion of fossil fuels and increased greenhouse gas emissions. To solve these problems, several countries have adopted actions for widespread renewable energy deployment, which includes wind energy, solar power, biomass power, tidal, and hydropower. These sources are considered as significant in delivering clean energy and reducing greenhouse gas emissions for sustainable improvement. As these sources play an increasingly vital role in the global energy landscape, the efficient management of these intermittent sources is essential for grid stability and sustainability. This paper aimed to develop an energy management strategy for DC microgrids to supply power to a DC microgrid system. The main objective of this paper was to implement an energy management system to ensure the proper operation of DC microgrid systems utilizing Simulink blocks available in MATLAB/Simulink 2020b software. The simulation results demonstrated that the developed energy management algorithm was unconditionally reliable, ensuring the proper operation of the microgrid systems. Additionally, the results demonstrated that the energy management strategy exhibited robust performance across different scenarios, effectively balancing energy generation and consumption while ensuring the reliable operation of the microgrid system. Moreover, the developed algorithm model presents another advantage, as it enables users to access and to change any control parameters within the DC microgrid. By comparing these results with the literature, the developed energy management algorithm provides safety and the automatic control of the microgrid.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] System Operation and Energy Management of a Renewable Energy-Based DC Micro-Grid for High Penetration Depth Application
    Liu, Baoquan
    Zhuo, Fang
    Zhu, Yixin
    Yi, Hao
    IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (03) : 1147 - 1155
  • [2] Energy management strategy for a hybrid micro-grid system using renewable energy
    Christian Bipongo Ndeke
    Marco Adonis
    Ali Almaktoof
    Discover Energy, 4 (1):
  • [3] Energy Management of a DC Micro-Grid with Distributed Generation
    Athira, G. R.
    Ravikumar, Pandi, V
    2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, INSTRUMENTATION AND CONTROL TECHNOLOGIES (ICICICT), 2017, : 1379 - 1384
  • [4] ENERGY MANAGEMENT AND CONTROL STRATEGY FOR DC MICRO-GRID IN DATA CENTER
    Xu, Hui Guang
    He, Jun Ping
    Qin, Yi
    Li, Yang Hua
    2012 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2012,
  • [5] Design of DC Micro-grid System for Integration of PMSM Elevator and Renewable Energy Sources
    Chen, Jyh-Wei
    Thanh-Nhat-Trung Tran
    Liu, Yen-Chen
    2019 IEEE 10TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG 2019), 2019, : 981 - 985
  • [6] Research of DC Micro-grid Photovoltaic Energy Storage System Control Strategy
    Liu, Li
    Wang, Yuechao
    Shi, Songjie
    Liu, Chang
    ENERGY DEVELOPMENT, PTS 1-4, 2014, 860-863 : 2474 - 2480
  • [7] Optimal energy management of a micro-grid with renewable energy resources and demand response
    Parvizimosaed, M.
    Farmani, F.
    Anvari-Moghaddam, A.
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2013, 5 (05)
  • [8] A Micro-Grid Energy Management Strategy Integrating Photovoltaic Energy Prediction
    Ioli, Daniele
    Falsone, Alessandro
    Busboom, Axel
    Prandini, Maria
    IFAC PAPERSONLINE, 2020, 53 (02): : 13012 - 13017
  • [9] Energy management method for photovoltaic DC micro-grid system based on power tracking control
    Han, Yang
    Xie, XiaoGao
    Deng, Hao
    Ma, WeiZhong
    Luo, Ping
    PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 3058 - 3063
  • [10] Renewable Energy Micro-grid Power System for Isolated Communities
    Tucker, Samuel
    Negnevitsky, Michael
    2011 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2011,