This study proposes a centralized control system for an islanded multivariable minigrid to improve its performance, stability and resilience. The integration of renewable energy sources and distributed energy storage systems into microgrid networks is a growing trend, particularly in remote or islanded areas where centralized grid systems are not available. The proposed control system is designed to be implemented at two levels a high-level control system and a low-level control system. Hence, the high-level control system balances energy resources and demand, makes decisions for effective resource utilization and monitors energy transactions within the minigrid. Real-time data from various sources and advanced algorithms are used to optimize energy management and distribution enabling the integration of renewable energy sources and enhancing the resilience of the minigrid against power outages.
Moreover, the low-level control system monitors energy parameters such as voltage, current, frequency and mechanical energy. The control system ensures these parameters remain within the specified range, maintaining system stability and ensuring efficient energy distribution. It also protects the minigrid against power outages improving system reliability and security. Finally, the proposed centralized control system offers a promising solution for improving the performance, stability and resilience of microgrid networks. The system provides real-time monitoring, efficient energy management and distribution, and the integration of renewable energy sources. These results have important implications for the development and deployment of microgrid networks in remote or islanded areas.
Citation: Mohamed G Moh Almihat, MTE Kahn. Centralized control system for islanded minigrid[J]. AIMS Energy, 2023, 11(4): 663-682. doi: 10.3934/energy.2023033
This study proposes a centralized control system for an islanded multivariable minigrid to improve its performance, stability and resilience. The integration of renewable energy sources and distributed energy storage systems into microgrid networks is a growing trend, particularly in remote or islanded areas where centralized grid systems are not available. The proposed control system is designed to be implemented at two levels a high-level control system and a low-level control system. Hence, the high-level control system balances energy resources and demand, makes decisions for effective resource utilization and monitors energy transactions within the minigrid. Real-time data from various sources and advanced algorithms are used to optimize energy management and distribution enabling the integration of renewable energy sources and enhancing the resilience of the minigrid against power outages.
Moreover, the low-level control system monitors energy parameters such as voltage, current, frequency and mechanical energy. The control system ensures these parameters remain within the specified range, maintaining system stability and ensuring efficient energy distribution. It also protects the minigrid against power outages improving system reliability and security. Finally, the proposed centralized control system offers a promising solution for improving the performance, stability and resilience of microgrid networks. The system provides real-time monitoring, efficient energy management and distribution, and the integration of renewable energy sources. These results have important implications for the development and deployment of microgrid networks in remote or islanded areas.
| [1] |
Sedghi L, Emam M, Fakharian A, et al. (2018) Decentralized control of an islanded microgrid based on offline model reference adaptive control. J Renewable Sustainable Energy 10. https://doi.org/10.1063/1.5046803 doi: 10.1063/1.5046803
|
| [2] |
Guerrero JM, Chandorkar M, Lee T-L, et al. (2013) Advanced control architectures for intelligent microgrids—Part Ⅰ: Decentralized and hierarchical control. IEEE Trans Ind Electron 60: 1254–1262. https://doi.org/10.1109/TIE.2012.2194969 doi: 10.1109/TIE.2012.2194969
|
| [3] |
Díaz NL, Luna AC, Vasquez JC, et al. (2017) Centralized control architecture for coordination of distributed renewable generation and energy storage in islanded AC microgrids. IEEE Trans Power Electron 32: 5202–5213. https://doi.org/10.1109/TPEL.2016.2606653 doi: 10.1109/TPEL.2016.2606653
|
| [4] |
Zeng J, Wang Q, Liu J, et al. (2019) A potential game approach to distributed operational optimization for microgrid energy management with renewable energy and demand response. IEEE Trans Ind Electron 66: 4479–4489. https://doi.org/10.1109/TIE.2018.2864714 doi: 10.1109/TIE.2018.2864714
|
| [5] |
Zhang B, Hu W, Ghias AMYM, et al. (2023) Multi-agent deep reinforcement learning based distributed control architecture for interconnected multi-energy microgrid energy management and optimization. Energy Convers Manage 277: 116647. https://doi.org/10.1016/j.enconman.2022.116647 doi: 10.1016/j.enconman.2022.116647
|
| [6] |
Ranjan R, Panchbhai A, Kumar A (2022) Decentralized primary control of PV-Battery system integrated with DC microgrid in Off-Grid mode. PESGRE 2022—IEEE Int Conf 'Power Electron Smart Grid, Renew Energy'. https://doi.org/10.1109/PESGRE52268.2022.9715964 doi: 10.1109/PESGRE52268.2022.9715964
|
| [7] |
Mohamed AA, Elsayed AT, Youssef TA, et al. (2017) Hierarchical control for DC microgrid clusters with high penetration of distributed energy resources. Electr Power Syst Res 148: 210–219. https://doi.org/10.1016/j.epsr.2017.04.003 doi: 10.1016/j.epsr.2017.04.003
|
| [8] |
Li Z, Zang C, Zeng P, et al. (2018) Fully distributed hierarchical control of parallel grid-supporting inverters in islanded AC microgrids. IEEE Trans Ind Inf 14: 679–690. https://doi.org/10.1109/TII.2017.2749424 doi: 10.1109/TII.2017.2749424
|
| [9] |
Li L, Han Y, Li Q, et al. (2022) Event-triggered decentralized coordinated control method for economic operation of an islanded electric-hydrogen hybrid DC microgrid. J Energy Storage 45. https://doi.org/10.1016/j.est.2021.103704 doi: 10.1016/j.est.2021.103704
|
| [10] |
Ding L, Han QL, Ning B (2022) Distributed Event-Triggered secondary control for islanded microgrids. Power Syst 13: 49–72. https://doi.org/10.1007/978-3-030-95029-3_4 doi: 10.1007/978-3-030-95029-3_4
|
| [11] |
Zhao Z, Guo J, Lai CS, et al. (2020) Distributed model predictive control strategy for islands Multi-Microgrids based on Non-Cooperative game. IEEE Trans Ind Inf 17: 1–12. https://doi.org/10.1109/TII.2020.3013102 doi: 10.1109/TII.2020.3013102
|
| [12] |
Saha D, Bazmohammadi N, Vasquez JC, et al. (2023) Multiple microgrids: A review of architectures and operation and control strategies. Energies 16. https://doi.org/10.3390/en16020600 doi: 10.3390/en16020600
|
| [13] |
Wu D, Tang F, Dragicevic T, et al. (2015) A control architecture to coordinate renewable energy sources and energy storage systems in islanded microgrids. IEEE Trans Smart Grid 6: 1156–1166. https://doi.org/10.1109/TSG.2014.2377018 doi: 10.1109/TSG.2014.2377018
|
| [14] |
Bhattar CL, Member GS, Chaudhari MA, et al. (2023) Centralized energy management scheme for grid connected DC microgrid. IEEE Syst J, 1–11. https://doi.org/10.1109/JSYST.2022.3231898 doi: 10.1109/JSYST.2022.3231898
|
| [15] |
Jin JX, Zhang TL, Yang RH, et al. (2023) Hierarchical cooperative control strategy of distributed hybrid energy storage system in an island direct current microgrid. J Energy Storage 57: 106205. https://doi.org/10.1016/j.est.2022.106205 doi: 10.1016/j.est.2022.106205
|
| [16] |
Mudaheranwa E, Ntagwirumugara E, Masengo G, et al. (2023) Microgrid design for disadvantaged people living in remote areas as tool in speeding up electricity access in Rwanda. Energy Strategy Rev 46: 101054. https://doi.org/10.1016/j.esr.2023.101054 doi: 10.1016/j.esr.2023.101054
|
| [17] |
Arabpour A, Hojabri H (2023) An improved centralized/decentralized accurate reactive power sharing method in AC microgrids. Int J Electr Power Energy Syst 148: 108908. https://doi.org/10.1016/j.ijepes.2022.108908 doi: 10.1016/j.ijepes.2022.108908
|
| [18] |
Kaur A, Kaushal J, Basak P (2016) Areview on microgrid central controller. Renewable Sustainable Energy Rev 55: 338–345. https://doi.org/10.1016/j.rser.2015.10.141 doi: 10.1016/j.rser.2015.10.141
|
| [19] | Lim PY (2011) Power management strategies for off-grid hybrid power systems. Available from: https://espace.curtin.edu.au/handle/20.500.11937/2503. |
| [20] |
Nosratabadi SM, Hooshmand RA, Gholipour E (2017) A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems. Renewable Sustainable Energy Rev 67: 341–363. https://doi.org/10.1016/j.rser.2016.09.025 doi: 10.1016/j.rser.2016.09.025
|
| [21] |
Muleta N, Badar AQH (2023) Designing of an optimal standalone hybrid renewable energy micro‐grid model through different algorithms. J Eng Res 11: 100011. https://doi.org/10.1016/j.jer.2023.100011 doi: 10.1016/j.jer.2023.100011
|
| [22] |
Çimen H, Bazmohammadi N, Lashab A, et al. (2022) An online energy management system for AC/DC residential microgrids supported by non-intrusive load monitoring. Appl Energy 307: 118136. https://doi.org/10.1016/j.apenergy.2021.118136 doi: 10.1016/j.apenergy.2021.118136
|
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Mohamed G Moh Almihat, MTE Kahn. Centralized control system for islanded minigrid[J]. AIMS Energy, 2023, 11(4): 663-682. doi: 10.3934/energy.2023033
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