A Short review on Optimal Allocation of Microgrid
DOI:
https://doi.org/10.71426/jmt.v1.i2.pp132-140Keywords:
Microgrid, Distributed energy resources, Optimal placement, Optimal power flow, Artificial Neural Network.Abstract
A microgrid (MG) is a revolutionary concept in electricity generation. The Microgrid concept entails a collection of loads and micro-sources functioning as a unified controllable system that delivers both electricity and thermal energy to its surrounding locality. A limited knowledge exists regarding the behavior of microgrids as comprehensive systems. Several models exist that delineate the components of a Microgrid. This study intends to emphasize certain research endeavors in Microgrids. The efforts evaluated in this paper are designed to facilitate further advancements in microgrid technology. The long-term objective is to deliver an advanced analysis of microgrids to facilitate a comprehensive understanding of their behavior.
References
[1] Nugraha PY, Widyotriatmo A, Leksono E. Optimization of a grid-tied microgrid configuration using dual storage systems. In: Proceedings of the 2015 15th International Conference on Control, Automation and Systems (ICCAS). IEEE; 2015. p. 147–152. Available from: https://doi.org/10.1109/ICCAS.2015.7364896
[2] Ciabattoni L, Comodi G, Ferracuti F, Fonti A, Giantomassi A, Longhi S. Multi-apartment residential microgrid monitoring system based on kernel canonical variate analysis. Neurocomputing. 2015;170:306–317. Available from: https://doi.org/10.1016/j.neucom.2015.04.099
[3] Azim MI, Hossain MJ, Griffith FHR, Pota HR. An improved droop control scheme for islanded microgrids. In: Proceedings of the 2015 5th Australian Control Conference (AUCC). IEEE; 2015. p. 225–229. Available from: https://ieeexplore.ieee.org/document/7361938
[4] Senfelds A, Bormanis O, Paugurs A. Modelling of AC/DC power supply unit for DC microgrid. In: Proceedings of the 2015 IEEE 3rd Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE). IEEE; 2015. p. 1–4. Available from: https://doi.org/10.1109/AIEEE.2015.7367294
[5] Dulău LI. Simulation of a microgrid. AIP Conference Proceedings. 2015;1700(1):050002. Available from: https://doi.org/10.1063/1.4938440
[6] Wang X, Yang W, Li X, Liu Z. Power-sharing control of hybrid energy storage system in series microgrid. Acta Energiae Solaris Sinica. 2016;37(12):3063–3070.
[7] Cucuzzella M, Incremona GP, Guastalli M, Ferrara A. Sliding mode control for maximum power point tracking of photovoltaic inverters in microgrids. In: Proceedings of the 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE; 2016. p. 7294–7299. Available from: https://doi.org/10.1109/CDC.2016.7799395
[8] Habib AH, Ratnam EL, Disfani VR, Kleissl J, de Callafon RA. Optimization-based residential load scheduling to improve reliability in the distribution grid. In: Proceedings of the 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE; 2016. p. 2419–2424. Available from: https://doi.org/10.1109/CDC.2016.7798624
[9] Jia LH, Zhu YQ, Du SF, Wang Y, Wen J. Control strategy of interlinked converter for AC/DC microgrid. Automation of Electric Power Systems. 2016;40(24):98–104. Available from: https://doi.org/10.7500/AEPS20160428020
[10] Hu X, Chen A, Du C, Zhang C, Lin Z. Modeling and stability analysis of hybrid AC/DC microgrid based on a hybrid model. In: Proceedings of the 2017 Chinese Automation Congress (CAC). IEEE; 2017. p. 6516–6521. Available from: https://doi.org/10.1109/CAC.2017.8243951
[11] Du Y, Qi Z, Yu G. Dynamic optimal dispatch for stand-alone microgrid. In: Proceedings of the 2017 Chinese Automation Congress (CAC). IEEE; 2017. p. 7237–7240. Available from: https://doi.org/10.1109/CAC.2017.8244084
[12] Rawat GS. Modeling and performance analysis of renewable sources under islanded DC microgrid. In: Proceedings of the 2018 International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE; 2018. p. 498–503. Available from: https://doi.org/10.1109/ICIRCA.2018.8597375
[13] Opathella C, Venkatesh B. Energy storage sizing and siting in microgrids. In: Proceedings of the 2018 IEEE Electrical Power and Energy Conference (EPEC). IEEE; 2018. p. 1–6. Available from: https://doi.org/10.1109/EPEC.2018.8598438
[14] Chowdhury R. Impact of battery energy storage system on frequency of islanded microgrid. In: Proceedings of the 2019 2nd International Conference on Innovation in Engineering and Technology (ICIET). IEEE; 2019. p. 1–6. Available from: https://doi.org/10.1109/ICIET48527.2019.9290559
[15] Taheri B, Hosseini SA. Detection of high impedance fault in DC microgrid using impedance prediction technique. In: Proceedings of the 2020 15th International Conference on Protection and Automation of Power Systems (IPAPS). IEEE; 2020. p. 68–73. Available from: https://doi.org/10.1109/IPAPS52181.2020.9375543
[16] Abulanwar S, Ghanem A, Rizk MEM, Hu W. Adaptive synergistic control strategy for a hybrid AC/DC microgrid during normal operation and contingencies. Applied Energy. 2021;304:117756. Available from: https://doi.org/10.1016/j.apenergy.2021.117756
[17] Shama PS, Sekhar PC, Shinde S, Kalnoor G, Gireesha B, Murali KB. An optimized operation of hybrid wind/battery/PV-system-based microgrid using particle swarm optimization technique. Journal of Computational Information Systems. 2018;14(5):79–84. Available from: https://www.researchgate.net/publication/373218508
[18] Zhu L, Lei G, Gao J. Research on key influencing factors for site selection of DC microgrid-based hydrogen-electric hybrid refueling stations. International Journal of Hydrogen Energy. 2023;48(100):39759–39779. Available from: https://doi.org/10.1016/j.ijhydene.2023.07.141
[19] Korada N, Mishra MK. Grid adaptive power management strategy for an integrated microgrid with hybrid energy storage. IEEE Transactions on Industrial Electronics. 2017;64(4):2884–2892. Available from: https://doi.org/10.1109/TIE.2016.2631443
[20] Radwan AAA, Mohamed YARI. Networked control and power management of AC/DC hybrid microgrids. IEEE Systems Journal. 2017;11(3):1662–1673. Available from: https://doi.org/10.1109/JSYST.2014.2337353
[21] Asghar F, Talha M, Kim SH. Robust frequency and voltage stability control strategy for standalone AC/DC hybrid microgrid. Energies. 2017;10(6):760. Available from: https://doi.org/10.3390/en10060760
[22] Wang Y, Li Y, Cao Y, Tan Y, He L, Han J. Hybrid AC/DC microgrid architecture with comprehensive control strategy for energy management of smart building. International Journal of Electrical Power & Energy Systems. 2018;101:151–161. Available from: https://doi.org/10.1016/j.ijepes.2018.02.048
[23] Zhang Z, Wu J, Luo Z, Xu J, Jin X, Li H. Optimal scheduling for independent AC/DC hybrid microgrid considering operation characteristics of energy storage. Automation of Electric Power Systems. 2018;42(19):118–125. Available from: https://doi.org/10.7500/AEPS20180124006
[24] Kamel AA, Rezk H, Shehata N, Thomas J. Energy management of a DC microgrid composed of photovoltaic/fuel cell/battery/supercapacitor systems. Batteries. 2019;5(3):63. Available from: https://doi.org/10.3390/batteries5030063
[25] Jayachandran M, Ravi G. Predictive power management strategy for PV/battery hybrid unit based islanded AC microgrid. International Journal of Electrical Power & Energy Systems. 2019;110:487–496. Available from: https://doi.org/10.1016/j.ijepes.2019.03.033
[26] Kumar J, Agarwal A, Singh N. Design, operation and control of a vast DC microgrid for integration of renewable energy sources. Renewable Energy Focus. 2020;34:17–36. Available from: https://doi.org/10.1016/j.ref.2020.05.001
[27] Murugan S, Jaishankar M, Premkumar K. Hybrid DC–AC microgrid energy management system using an artificial gorilla troops optimizer optimized neural network. Energies. 2022;15(21):8187. Available from: https://doi.org/10.3390/en15218187
[28] Jithin S, Rajeev T. Novel adaptive power management strategy for hybrid AC/DC microgrids with hybrid energy storage systems. Journal of Power Electronics. 2022;22(12):2056–2068. Available from: https://doi.org/10.1007/s43236-022-00506-x
[29] Li Q, Dong X, Yan M, Cheng Z, Wang Y. Research on the hybrid wind–solar–energy storage AC/DC microgrid system and its stability during smooth state transitions. Energies. 2023;16(24):7930. Available from: https://doi.org/10.3390/en16247930
[30] Mousa HHH, Ali A, Shaaban MF, Ismeil MA. Optimal allocation of multiple capacitors in a hybrid AC/DC microgrid for power quality improvement. SN Applied Sciences. 2023;5(12):362. Available from: https://doi.org/10.1007/s42452-023-05552-z
[31] Jain D, Saxena D. Stability analysis of hybrid microgrid considering network dynamics. Smart Grids and Sustainable Energy. 2023;8(4):20. Available from: https://doi.org/10.1007/s40866-023-00180-3
[32] Wu X, Shen C. Distributed optimal control for stability enhancement of microgrids with multiple distributed generators. IEEE Transactions on Power Systems. 2017;32(5):4045–4059. Available from: https://doi.org/10.1109/TPWRS.2017.2651412
[33] Lee SJ, Choi JY, Lee HJ, Won DJ. Distributed coordination control strategy for a multi-microgrid based on a consensus algorithm. Energies. 2017;10(7):1017. Available from: https://doi.org/10.3390/en10071017
[34] Lu N, Liu Y. Microgrid coordination control based on reconfigurable Petri-Net. IPPTA: Quarterly Journal of Indian Pulp and Paper Technical Association. 2018;30(5):527–535. Available from: https://www.researchgate.net/publication/329573175
[35] Rasool A, Yan X, Rasool H, Guo H, Asif M. VSG stability and coordination enhancement under emergency condition. Electronics. 2018;7(9):202. Available from: https://doi.org/10.3390/electronics7090202
[36] Jalali M, Zare K, Seyedi H, Alipour M, Wang F. Distributed model for robust real-time operation of distribution systems and microgrids. Electric Power Systems Research. 2019;177:105985. Available from: https://doi.org/10.1016/j.epsr.2019.105985
[37] Younis RA, Ibrahim DK, Aboul-Zahab EM, El'Gharably A. Power management regulation control integrated with demand-side management for stand-alone hybrid microgrid considering battery degradation. International Journal of Renewable Energy Research. 2019;9(4):1912–1923. Available from: https://doi.org/10.20508/ijrer.v9i4.10002.g7795
[38] Babaiahgari B, Ullah MH, Park JD. Coordinated control and dynamic optimization in DC microgrid systems. International Journal of Electrical Power & Energy Systems. 2019;113:832–841. Available from: https://doi.org/10.1016/j.ijepes.2019.05.076
[39] Pannala S, Padhy NP, Agarwal P. Effective power management scheme for PV-battery-DG integrated standalone DC microgrid. IET Electric Power Applications. 2020;14(12):2322–2330. Available from: https://doi.org/10.1049/iet-epa.2020.0140
[40] Pannala S, Patari N, Srivastava AK, Padhy NP. Effective control and management scheme for isolated and grid-connected DC microgrid. IEEE Transactions on Industry Applications. 2020;56(6):6767–6780. Available from: https://doi.org/10.1109/TIA.2020.3015819
[41] Barik AK, Das DC. Integrated resource planning in sustainable energy-based distributed microgrids. Sustainable Energy Technologies and Assessments. 2021;48:101622. Available from: https://doi.org/10.1016/j.seta.2021.101622
[42] Hui H, Chen Y, Yang S, Zhang H, Jiang T. Coordination control of distributed generators and load resources for frequency restoration in isolated urban microgrids. Applied Energy. 2022;327:120116. Available from: https://doi.org/10.1016/j.apenergy.2022.120116
[43] Sakipour R, Abdi H. Optimizing battery energy storage system data in the presence of wind power plants: A comparative study on evolutionary algorithms. Sustainability. 2020;12(24):10257. Available from: https://doi.org/10.3390/su122410257
[44] Panda M, Bhaskar DV, Maity T. An efficient SoC-balancing-based power management strategy for interconnected subgrids of DC microgrid. Journal of Energy Storage. 2022;50:104287. Available from: https://doi.org/10.1016/j.est.2022.104287
[45] Chouaf W, Abbou A, Bouaddi A. Energy management for an AC island microgrid using dynamic programming. International Journal of Renewable Energy Research. 2022;12(4):2223–2236. Available from: https://doi.org/10.20508/ijrer.v12i4.13566.g8584
[46] Albarakati AJ, Boujoudar Y, Azeroual M, Eliysaouy L, Kotb H, Aljarbouh A, Alkahtani HK, Mostafa SM, Tassaddiq A, Pupkov A. Microgrid energy management and monitoring systems: A comprehensive review. Frontiers in Energy Research. 2022;10:1097858. Available from: https://doi.org/10.3389/fenrg.2022.1097858
[47] Yusubov E, Bekirova LR. A robust metaheuristic central controller for hierarchical control system with adaptive power sharing and MPPT in DC microgrids. International Journal on Technical and Physical Problems of Engineering. 2022;14(4):392–399.
[48] Zhu X, Wang D, Li J, Li C, Liu M, Zhao B. Online optimization and tracking control strategy for battery energy storage in DC microgrids. Journal of Energy Storage. 2023;73:108919. Available from: https://doi.org/10.1016/j.est.2023.108919
[49] Salman M, Ling Y, Li Y, Xiang J. Coordination-based power management strategy for hybrid AC/DC microgrid. IEEE Systems Journal. 2023;17(4):6528–6539. Available from: https://doi.org/10.1109/JSYST.2023.3315795
[50] Goel S, Jena B, Sharma R. A case study on optimal tilt angle and spacing for rooftop solar photovoltaic system at Bhubaneswar. Journal of Modern Technology. 2024:121–131. Available from: https://doi.org/10.71426/jmt.v1.i2.pp121-131
[51] Solanke AV, Verma SK, Kumar S, Oyinna B, Okedu KE. MPPT for hybrid energy system using machine learning techniques. Journal of Modern Technology. 2024:19–37. Available from: https://doi.org/10.71426/jmt.v1.i1.pp19-37
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Yamuna Pagidela, N. Visali (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Journal of Modern Technology publishes all articles under the Creative Commons Attribution–NonCommercial 4.0 International License (CC BY-NC 4.0). This license permits others to copy, distribute, reproduce, remix, adapt, and build upon the published work for non-commercial purposes, provided appropriate credit is given to the original authors and the source. By publishing in the Journal of Modern Technology, all authors agree to these licensing terms as a condition of publication.