Smart Inverter Systems for Cyber-Physical Microgrids: A Spotlight on the Evolution, Control Strategies, and Future Directions

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Abstract:

Across the globe, the energy landscape is fast changing due to advancements in semiconductor materials, widespread application of artificial intelligence, wireless communication systems, and cybersecurity protocols. These infrastructures have provided leverage for the transition of present microgrid systems to emerging cyber-physical microgrids. It is on these premises that this present work examines AI-driven inverter systems enhanced with a wireless communication system and advanced control strategies. Also, following a careful assessment of the evolutionary trends and inverter topologies, an architecture for an AI-driven inverter system was proposed, which provided a platform for establishing a linkage between cybersecurity concepts and AI-driven inverter systems. Furthermore, premium emphasis was equally placed on the possible mitigating strategies for cyber threats that could result from adopting wireless communication techniques for data transmission in AI-driven inverters to the distributed energy resources in the microgrid systems. Also, the potential impacts and future outlooks towards the development of AI-assisted inverter systems and cyber-physical microgrid systems for sustainable power supply were comprehensively discussed. The potential impacts of emerging cyber-physical microgrid systems and AI-driven inverter systems on sustainable power supply have been extensively discussed, which is one of the key contributions of this work.

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[1] O.E., Olabode, D.O., Akinyele, F.K., Ariyo, A.A., Raji, E.B. Omoniyi, O.K. Akinde, Optimal performance of multiple energy sources under varying dispatch strategies on a 4g base transceiver station, Journal of Sustainable Energy, 15(2024) 77- 93.

Google Scholar

[2] G.A., Ajenikoko, O.E., Olabode, O.W. Olayanju, Distributed generation (DG) integration on utilities distribution system: a survey, International Journal of Advanced Engineering and Technology, 4(2017) 1-10.

Google Scholar

[3] M., Uddin, H., Mo, D., Dong, S., Elsawah, J., Zhu, J.M. Guerrero, Microgrids: a review, outstanding issues and future trends, Energy Strategy Reviews, 49(2023),101127.

DOI: 10.1016/j.esr.2023.101127

Google Scholar

[4] D., Akinyele, O., Olabode, F., Ariyo, A. Adeshina, Biodiesel resource for sustainable microgrid system: a spotlight on the state-of-the-art, application, challenges and enabling policy, Discover Sustainability, 6(2025),268.

DOI: 10.1007/s43621-025-01081-4

Google Scholar

[5] O.E., Olabode, D.O., Akinyele, O.K., Akinde, F.K., Ariyo, M.O., Okelola, Challenges, prospects and application of grid integration with photovoltaic systems in Sub-Sahara African countries" being a Chapter in a book titled "Photovoltaic Materials: Synthesis, Characterizations, and Applications. Edited by Sampat G. Deshmukh, Suman L. Tripathi and Abhishek Kumar published by CRC Press, Taylor & Francis Group, Boca Raton London, New York, 2025.

DOI: 10.1201/9781003641841-14

Google Scholar

[6] Y., Parag, and M. Ainspan, Sustainable microgrids: economic, environmental and social costs and benefits of microgrid deployment, Energy for Sustainable Development, 52(2019), 72-81.

DOI: 10.1016/j.esd.2019.07.003

Google Scholar

[7] O.E., Olabode, D.O., Akinyele, T.O., Ajewole, S.O., Omogoye, A.A. Raji, Impact of integrating type-1 distributed generation on distribution network using modified genetic algorithm and voltage stability index: a technical and cost–benefit analysis approach, Journal of Engineering and Applied Science, 71(2024), 222.

DOI: 10.1186/s44147-024-00561-0

Google Scholar

[8] O.E., Olabode, T.O., Ajewole, D.O., Akinyele, F.K. Ariyo, Energy saving analysis on distribution network with incorporation of d-statcom using firefly algorithm and power loss index." Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, 10(2024) 313-331.

DOI: 10.26555/jiteki.v10i2.28862

Google Scholar

[9] G.A. Ajenikoko, O.E. Olabode, Optimal power flow with reactive power compensation for cost and loss minimization on Nigerian power grid system, Indonesian Journal of Electrical Engineering and Informatics, 5(2017) 236-247.

DOI: 10.52549/ijeei.v5i3.284

Google Scholar

[10] A. Mikhaylov, An overview of the roles of inverters and converters in microgrids, Unified Vision for a Sustainable Future, 2024, 69–85.

DOI: 10.1007/978-3-031-53574-1_3

Google Scholar

[11] M., Schwenzer, M., Ay, T.,Bergs, and D., Abel, D, Review on model predictive control: an engineering perspective, The International Journal of Advanced Manufacturing Technology, 117(202)1327–1349.

DOI: 10.1007/s00170-021-07682-3

Google Scholar

[12] H., Faraji, B.,Vahidi, A., Khorsandi, S.H. Hosseinian, Multiple control strategies for smart photovoltaic inverter under network voltage fluctuations and islanded operation, International Journal of Electrical Power & Energy Systems, 156(2024),109723.

DOI: 10.1016/j.ijepes.2023.109723

Google Scholar

[13] G.A., Ajenikoko, O.E. Olabode, Optimal power flow with reactive power compensation for cost and loss minimization on Nigerian power grid system, Indonesian Journal of Electrical Engineering and Informatics, 5(2017) 236-247.

DOI: 10.52549/ijeei.v5i3.284

Google Scholar

[14] W., Chen, X.S., Shengnan, K. Yin, The current status and development of DC/AC inverter technology," Highlights in Science, Engineering and Technology, 43(2023),527-536.

DOI: 10.54097/hset.v43i.7473

Google Scholar

[15] T., Mohana, N., Chellammal, S.,Vijayan, Power quality enhancement in microgrid, Applied Mechanics and Materials, 573(2014) 668–672.

DOI: 10.4028/www.scientific.net/amm.573.668

Google Scholar

[16] O.E., Olabode, M.P., Arowolo, A.O., Olugbemi, Optimal allocation and sizing of reactive power source for voltage profile improvement on Nigerian 330kV, 24-bus grid system, IOSR Journal of Electrical and Electronics Engineering, 11(2016)40-48.

DOI: 10.9790/1676-1105034048

Google Scholar

[17] F., Blaabjerg, R., Teodorescu, M., Liserre, A.V., Timbus, Overview of control and grid synchronization for distributed power generation systems, IEEE Transactions on Industrial Electronics, 53(2006)1398-1409.

DOI: 10.1109/tie.2006.881997

Google Scholar

[18] J.M., Carrasco, L.G., Franquelo, J.T., Bialasiewicz, E., Galván, R.C.P., Guisado, M.Á.M., Prats, J. I., León, N., Moreno-Alfonso, Power-electronic systems for the grid integration of renewable energy sources: a survey," IEEE Transactions on Industrial Electronics, 53(2006) 1002-1016.

DOI: 10.1109/tie.2006.878356

Google Scholar

[19] I., Harbi, M., Abdelrahem, M., Ahmed, R. Kennel, Reduced-complexity model predictive control with online parameter assessment for a grid-connected single-phase multilevel inverter," Sustainability, 12(2020), 7997.

DOI: 10.3390/su12197997

Google Scholar

[20] C., Li, S.Y. Wong, "Techno-economic analysis of optimal hybrid renewable energy systems – A case study for a campus microgrid," Energy Reports, 9(2023) 134–138.

DOI: 10.1016/j.egyr.2023.09.153

Google Scholar

[21] J., Rocabert, A., Luna, F., Blaabjerg, and P., Rodríguez, "Control of power converters in ac microgrids, IEEE Transactions on Power Electronics, 27(2012), 4734-4749.

DOI: 10.1109/tpel.2012.2199334

Google Scholar

[22] H., Awad, E.H.E. Bayoumi, Next-generation smart inverters: bridging ai, cybersecurity, and policy gaps for sustainable energy transition," Technologies, 13(2025) 136.

DOI: 10.3390/technologies13040136

Google Scholar

[23] A., Azizi, M., Akhbari, S., Danyali, Z., Tohidinejad, M., Shirkhani, M. A review on topology and control strategies of high-power inverters in large-scale photovoltaic power plants, Heliyon, 11(2025) e42334.

DOI: 10.1016/j.heliyon.2025.e42334

Google Scholar

[24] T.O., Ajewole, O.E., Olabode, O.S., Babalola, M.O., Omoigui, Use of experimental test systems in the application of electric microgrid technology across the sub-Saharan Africa: a review, Scientific African, 8(2020).e00435, 2020.

DOI: 10.1016/j.sciaf.2020.e00435

Google Scholar

[25] V., Boscaino, V., Ditta, G., Marsala, N., Panzavecchia, G., Tinè, V., Cosentino, A., Cataliotti, D.D., Cara, Grid-connected photovoltaic inverters: grid codes, topologies and control techniques, Renewable & Sustainable Energy Reviews, 189(2024), 113903–113903.

DOI: 10.1016/j.rser.2023.113903

Google Scholar

[26] T.A., Do, Q.D., Nguyen, P., Vu, M.D Ngo, and S.J. Ahn, Comparative analysis of pwm techniques for interleaved full-bridge converter in an ac battery application, Energies, 17(2024) 375.

DOI: 10.3390/en17020375

Google Scholar

[27] O.S., Chaudhary, M., Denaï, S.S., Refaat, G. Pissanidis, Technology and applications of wide bandgap semiconductor materials: current state and future trends, Energies, 16(2023) 6689.

DOI: 10.3390/en16186689

Google Scholar

[28] M.I., Kolawole, Advanced wide-bandgap semiconductor devices for high-power applications: GaN, SiC, and diamond-based electronics for extreme environments," International Journal of Engineering Technology Research & Management, 9(2025) 335- 353.

Google Scholar

[29] M., Aghaei, A., Dolara, S. Leva, F., Grimaccia, Image resolution and defects detection in PV inspection by unmanned technologies. 2016 IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, USA, 2016, pp.1-5, 2016.

DOI: 10.1109/pesgm.2016.7741605

Google Scholar

[30] H., Afshari, O., Husev, O., Matiushkin, D. Vinnikov, A review of hybrid converter topologies. Energies, 15(2022) 9341.

DOI: 10.3390/en15249341

Google Scholar

[31] C. A., Naligama, N. Kularatna, A., Steyn-Ross, A supercapacitor-assisted technique for reducing losses in the input loop of an inverter system for solar pv applications," 2024 IEEE Applied Power Electronics Conference and Exposition (APEC), Long Beach, CA, USA, 2024, pp.3020-3026, 2024.

DOI: 10.1109/apec48139.2024.10509345

Google Scholar

[32] K., Gunawardane, N., Bandara, K. Subasinghage, N. Kularatna, Extending the input voltage range of solar pv inverters with supercapacitor energy circulation, Electronics,10(2021) 88 -98.

DOI: 10.3390/electronics10010088

Google Scholar

[33] Comparison of 5 wireless communication technologies. Available at: https://www.ctrfantennasinc.com/comparison-of-5-wireless-communication-technologies/ (Accessed on 15th June, 2025).

Google Scholar

[34] T.P., da-Costa, D.M.B., da-Costa, F., Murphy, "A systematic review of real-time data monitoring and its potential application to support dynamic life cycle inventories, Environmental Impact Assessment Review, 105(2024) 107416.

DOI: 10.1016/j.eiar.2024.107416

Google Scholar

[35] Cybersecurity challenges in cross-border data transfers and regulatory compliance strategies. Available at :https://securityaffairs.com/175223/security/cybersecuritychallenges-in-cross-border-data-transfers-and-regulatory-compliance-strategies.html (Accessed on 15th June, 2025).

DOI: 10.1787/2a1053cb-en

Google Scholar

[36] O.E., Olabode, O.D., Ayantunji, V.U., Nwagbara, Performance evaluation of reactive power compensation of TCSC and SVC on voltage profile enhancement and power system loss minimization using firefly algorithm, International Journal of Scientific & Engineering Research, 8(2017)1514- 1519.

Google Scholar

[37] M.O., Okelola, Power quality events classification on real-time voltage waveform using short time fourier transform and bayes classifier, International Journal of Applied, 8(2018)82-90.

DOI: 10.30845/ijast.v8n2a10

Google Scholar

[38] C.Y., Lin, Y.Q., Fu, RC-diode ESD protection design for high-frequency applications, Solid-State Electronics, 188(2022)108222.

DOI: 10.1016/j.sse.2021.108222

Google Scholar

[39] D.B., Aeggegn, G.N., Nyakoe, C.,Wekesa, A state of the art review on energy management techniques and optimal sizing of DERs in grid-connected multi-microgrids, Cogent Engineering, 11(2023)1-18.

DOI: 10.1080/23311916.2024.2340306

Google Scholar

[40] O.J., Aladegboye, D.A., Opeyemi, O.D., Atoyebi, S.L., Akingbonmire, E.M., Ibitogbe, Reliability analysis of reinforced concrete beam using varying properties, IOP Conference Series: Earth and Environmental Science, 445(2020)012031.

DOI: 10.1088/1755-1315/445/1/012031

Google Scholar

[41] M.K., Khan, K., Kauhaniemi, H.S., Khan, Optimizing smart inverter control for improved distribution network hosting capacity: a model predictive control approach," International Journal of Electrical Power & Energy System, 165(2025)110472.

DOI: 10.1016/j.ijepes.2025.110472

Google Scholar

[42] L.S.N., Dangeti, R., Marimuthu, Distributed model predictive control strategy for microgrid frequency regulation," Energy Report, 13(2025)1158-1170.

DOI: 10.1016/j.egyr.2024.12.071

Google Scholar

[43] Y., Zhang, D., Dong, Q., Li, R., Zhang, F., Udrea, H., Wang, Wide-bandgap semiconductors and power electronics as pathways to carbon neutrality, Nature Review in Electrical Engineering, 2(2025) 155–172.

DOI: 10.1038/s44287-024-00135-5

Google Scholar

[44] H.H. Tang, N.S., Ahmad, Fuzzy logic approach for controlling uncertain and nonlinear systems: a comprehensive review of applications and advances, Systems Science & Control Engineering, 12(2024)1-34.

DOI: 10.1080/21642583.2024.2394429

Google Scholar

[45] D.A., Opeyemi, Probabilistic failure analysis of static pile capacity for steel in cohesive and cohesionless soils, Electronic Journal of Geotechnical Engineering, 14(2009), 1-12.

Google Scholar

[46] J.O., Afolayan, J.O., Opeyemi, Reliability analysis of static pile capacity for concrete and steel in cohesionless soils, Electronic Journal of Geotechnical Engineering, 15(2010)311-319.

Google Scholar

[47] B., Mishra, M., Pattnaik, A modified droop-based decentralized control strategy for accurate power sharing in a PV-based islanded AC microgrid," ISA Transaction,153(2024)467-481.

DOI: 10.1016/j.isatra.2024.07.032

Google Scholar

[48] M., Veerachary, T., Senjyu, K., Uezato, Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter-supplied PV system using fuzzy controller. IEEE Transactions on Industrial Electronics, 50(2003)749-758.

DOI: 10.1109/tie.2003.814762

Google Scholar

[49] P.H., Yakkundi, K.V. Devadas, K., Suryasen, Design and simulation of space vector pwm for three-phase induction motor, IOSR Journal of Electrical and Electronics Engineering, 9(2014)1-8.

DOI: 10.9790/1676-09330108

Google Scholar

[50] X., Qin, W., Hu, Y., Tang, Q., Huang, Z.,Chen, F., Blaabjerg, An improved modulation method for modular multilevel converters based on particle swarm optimization," International Journal of Electrical Power & Energy Systems, 151(2023)109136.

DOI: 10.1016/j.ijepes.2023.109136

Google Scholar

[51] M.O., Okelola, O.E., Olabode, Detection of voltage unbalance on three phase induction motor using artificial neural network, International Journal of Emerging Trends in Engineering and Development, 4(2018)18-25.

DOI: 10.26808/rs.ed.i8v4.03

Google Scholar

[52] T., Vu, B.,Nguyen, Z., Cheng, M.,Chow, B., Zhang, Cyber-physical microgrids: toward future resilient communities," Optimization and Control, (2019)1-12.

Google Scholar

[53] D.A., Opeyemi, E., Patelli, M., Beer, S.A., Timashev, Reliability of arctic pipelines taking into account the global change of temperatures: wind loads case study, Economic and Technical Aspects of Safety of Civil Engineering Critical Infrastructures, (201530-33.

Google Scholar

[54] M., Ganjian-Aboukheili, M., Shahabi, Q., Shafiee, J. M., Guerrero, Seamless transition of microgrids operation from grid-connected to islanded mode, IEEE Transactions on Smart Grid, 11(2020)2106–2114.

DOI: 10.1109/tsg.2019.2947651

Google Scholar

[55] S.H., Rouhani, C., Su, S., Mobayen, N., Razmjooy, M., Elsisi, Cyber resilience in renewable microgrids: a review of standards, challenges, and solutions, Energy, 309(2024)133081.

DOI: 10.1016/j.energy.2024.133081

Google Scholar

[56] A.,Ucar, M., Karakose, N., Kırımça, Artificial Intelligence for predictive maintenance applications: key components, trustworthiness, and future trends, Applied Science, 14(2024)898.

DOI: 10.3390/app14020898

Google Scholar

[57] Z., Li, P., Li, J., Xia, Z.,Yuan, Cyber-physical-social system scheduling for multi-energy microgrids with distribution network coordination. International Journal of Electrical Power & Energy Systems, 149(2023)109054.

DOI: 10.1016/j.ijepes.2023.109054

Google Scholar

[58] A., Ahl, M., Goto, M., Yarime, K., Tanaka, D., Sagawa, Challenges and opportunities of blockchain energy applications: Interrelatedness among technological, economic, social, environmental, and institutional dimensions, Renewable and Sustainable Energy Reviews, 166(2022)112623.

DOI: 10.1016/j.rser.2022.112623

Google Scholar