J. Han, I. Lee, and S. H. Kim, “User-friendly monitoring system for residential PV system based on low-cost power line communication,” IEEE Trans. Consum. Electron., vol. 61, no. 2, pp. 175–180, 2015, doi: 10.1109/TCE.2015.7150571.
H. Mortazavi, H. Mehrjerdi, M. Saad, S. Lefebvre, D. Asber, and L. Lenoir, “A Monitoring Technique for Reversed Power Flow Detection with High PV Penetration Level,” IEEE Trans. Smart Grid, vol. 6, no. 5, pp. 2221–2232, 2015, doi: 10.1109/TSG.2015.2397887.
W. Mao, X. Zhang, R. Cao, F. Wang, T. Zhao, and L. Xu, “A research on power line communication based on parallel resonant coupling technology in pv module monitoring,” IEEE Trans. Ind. Electron., vol. 65, no. 3, pp. 2653–2662, 2018, doi: 10.1109/TIE.2017.2736483.
N. Agarwal, A. Arya, M. W. Ahmad, and S. Anand, “Lifetime Monitoring of Electrolytic Capacitor to Maximize Earnings from Grid-Feeding PV System,” IEEE Trans. Ind. Electron., vol. 63, no. 11, pp. 7049–7058, 2016, doi: 10.1109/TIE.2016.2586020.
P. Guerriero, F. Di Napoli, G. Vallone, V. Dalessandro, and S. Daliento, “Monitoring and diagnostics of PV plants by a wireless self-powered sensor for individual panels,” IEEE J. Photovoltaics, vol. 6, no. 1, pp. 286–294, 2016, doi: 10.1109/JPHOTOV.2015.2484961.
L. G. Monteiro et al., “Field I-V Curve Measurements Methodology at String Level to Monitor Failures and the Degradation Process: A Case Study of a 1.42 MWp PV Power Plant,” IEEE Access, vol. 8, pp. 226845–226865, 2020, doi: 10.1109/ACCESS.2020.3044832.
Å. Skomedal, H. Haug, and E. S. Marstein, “Endogenous Soiling Rate Determination and Detection of Cleaning Events in Utility-Scale PV Plants,” IEEE J. Photovoltaics, vol. 9, no. 3, pp. 858–863, 2019, doi: 10.1109/JPHOTOV.2019.2899741.
M. W. Ahmad, N. Agarwal, and S. Anand, “Online Monitoring Technique for Aluminum Electrolytic Capacitor in Solar PV-Based DC System,” IEEE Trans. Ind. Electron., vol. 63, no. 11, pp. 7059–7066, 2016, doi: 10.1109/TIE.2016.2582470.
M. G. Deceglie, T. J. Silverman, B. Marion, and S. R. Kurtz, “Real-Time Series Resistance Monitoring in PV Systems Without the Need for I-V Curves,” IEEE J. Photovoltaics, vol. 5, no. 6, pp. 1706–1709, 2015, doi: 10.1109/JPHOTOV.2015.2478070.
G. Di Lorenzo, R. Araneo, M. Mitolo, A. Niccolai, and F. Grimaccia, “Review of O&M Practices in PV Plants: Failures, Solutions, Remote Control, and Monitoring Tools,” IEEE J. Photovoltaics, vol. 10, no. 4, pp. 914–926, 2020, doi: 10.1109/JPHOTOV.2020.2994531.
N. Agarwal, M. W. Ahmad, and S. Anand, “Quasi-Online Technique for Health Monitoring of Capacitor in Single-Phase Solar Inverter,” IEEE Trans. Power Electron., vol. 33, no. 6, pp. 5283–5291, 2018, doi: 10.1109/TPEL.2017.2736162.
J. Slapšak, S. Mitterhofer, M. Topic, and M. Jankovec, “Wireless System for in Situ Monitoring of Moisture Ingress in PV Modules,” IEEE J. Photovoltaics, vol. 9, no. 5, pp. 1316–1323, 2019, doi: 10.1109/JPHOTOV.2019.2918044.
Z. Zhao, H. Hu, Z. He, H. H. C. Iu, P. Davari, and F. Blaabjerg, “Power Electronics-Based Safety Enhancement Technologies for Lithium-Ion Batteries: An Overview From Battery Management Perspective,” IEEE Trans. Power Electron., vol. 38, no. 7, pp. 8922–8955, 2023, doi: 10.1109/TPEL.2023.3265278.
S. Jafari and Y. C. Byun, “Prediction of the Battery State Using the Digital Twin Framework Based on the Battery Management System,” IEEE Access, vol. 10, no. December, pp. 124685–124696, 2022, doi: 10.1109/ACCESS.2022.3225093.
B. G. Carkhuff, P. A. Demirev, and R. Srinivasan, “Impedance-Based Battery Management System for Safety Monitoring of Lithium-Ion Batteries,” IEEE Trans. Ind. Electron., vol. 65, no. 8, pp. 6497–6504, 2018, doi: 10.1109/TIE.2017.2786199.
S. Yang and S. Zhang, “Energy Balance Control of Multi Group Lithium Ion Batteries Under Internet of Things Technology,” IEEE Access, vol. 12, no. July, pp. 102784–102797, 2024, doi: 10.1109/ACCESS.2024.3430318.
R. Ranjith Kumar, C. Bharatiraja, K. Udhayakumar, S. Devakirubakaran, K. S. Sekar, and L. Mihet-Popa, “Advances in Batteries, Battery Modeling, Battery Management System, Battery Thermal Management, SOC, SOH, and Charge/Discharge Characteristics in EV Applications,” IEEE Access, vol. 11, no. October, pp. 105761–105809, 2023, doi: 10.1109/ACCESS.2023.3318121.
K. Zhao, Y. Liu, Y. Zhou, W. Ming, and J. Wu, “Digital twin-supported battery state estimation based on TCN-LSTM neural networks and transfer learning,” CSEE J. Power Energy Syst., vol. 11, no. 2, pp. 567–579, 2024, doi: 10.17775/CSEEJPES.2024.00900.
D. Zhou, Z. Li, J. Zhu, H. Zhang, and L. Hou, “State of Health Monitoring and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Temporal Convolutional Network,” IEEE Access, vol. 8, pp. 53307–53320, 2020, doi: 10.1109/ACCESS.2020.2981261.
A. Kusmantoro and I. Farikhah, “Solar power and multi-battery for new configuration DC microgrid using centralized control,” Arch. Electr. Eng., vol. 72, no. 4, pp. 931–950, 2023, doi: 10.24425/aee.2023.147419.
A. Kusmantoro, A. Priyadi, V. L. Budiharto Putri, and M. Hery Purnomo, “Coordinated Control of Battery Energy Storage System Based on Fuzzy Logic for Microgrid with Modified AC Coupling Configuration,” Int. J. Intell. Eng. Syst., vol. 14, no. 2, pp. 495–510, 2021, doi: 10.22266/ijies2021.0430.45.