References
- Al Dawsari, S., Anayi, F. and Packianather, M. (2024). Techno-Economic Analysis of Hybrid Renewable Energy Systems for Cost Reduction and Reliability Improvement Using Dwarf Mongoose Optimization Algorithm. Energy, 313, p. 133653. doi: 10.1016/j.energy.2024.133653
- Beyza, J. and Yusta, J. M. (2021). Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems After Cascading Failures. Energies, 14(7), p. 2028. doi: 10.3390/en14072028
- Böhringer, C., Cuntz, A., Harhoff, D. and Asane-Otoo, E. (2017). The Impact of the German Feed-in Tariff Scheme on Innovation: Evidence Based on Patent Filings in Renewable Energy Technologies. Energy Economics, 67, pp. 545–553. doi: 10.1016/j.eneco.2017.09.001
- Bouchekara, H. R., Sha’aban, Y. A., Shahriar, M. S., Abdullah, S. M. and Ramli, M. A. (2023). Sizing of Hybrid PV/Battery/Wind/Diesel Microgrid System Using an Improved Decomposition Multi-Objective Evolutionary Algorithm Considering Uncertainties and Battery Degradation. Sustainability, 15(14), p. 11073. doi: 10.3390/su151411073
- Cabana-Jiménez, K., Candelo-Becerra, J. E. and Sousa Santos, V. (2022). Comprehensive Analysis of Microgrids Configurations and Topologies. Sustainability, 14(3), p. 1056. doi: 10.3390/su14031056
- Chandra, A., Singh, G. K. and Pant, V. (2020). Protection Techniques for DC Microgrid—A Review. Electric Power Systems Research, 187, p. 106439. doi: 10.1016/j.epsr.2020.106439
- Chang, F., Cui, X., Wang, M. and Su, W. (2021). Potential-Based Large-Signal Stability Analysis in DC Power Grids with Multiple Constant Power Loads. IEEE Open Access Journal of Power and Energy, 9, pp. 16–28. doi: 10.1109/OAJPE.2021.3132860
- Dali, M., Charaabi, F. and Belhadj, J. (2022, October). Short-circuit fault analysis and protection of standalone AC and DC microgrids. In: 2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM). IEEE, Institut National des Sciences Appliquées et de Technologie Tunisia. (INSAT), Vol. 4, pp. 1–6.
- Eskander, M. M. and Silva, C. A. (2023). Techno-Economic and Environmental Comparative Analysis for DC Microgrids in Households: Portuguese and French Household Case Study. Applied Energy, 349, p. 121495. doi: 10.1016/j.apenergy.2023.121495
- Feng, W., Jin, M., Liu, X., Bao, Y., Marnay, C., Yao, C. and Yu, J. (2018). A Review of Microgrid Development in the United States—A Decade of Progress on Policies, Demonstrations, Controls, and Software Tools. Applied Energy, 228, pp. 1656–1668. doi: 10.1016/j.apenergy.2018.06.096
- Gerber, D. L., Nordman, B., Brown, R. and Poon, J. (2023). Cost Analysis of Distributed Storage in AC and DC Microgrids. Applied Energy, 344, p. 121218. doi: 10.1016/j.apenergy.2023.121218
- Jena, K., Panigrahi, C. K. and Gupta, K. K. (2021). A New 13-Level Switched-Capacitor Inverter with Reduced Device Count. Power Electronics and Drives, 6, pp. 26–41. doi: 10.2478/pead-2021-0005
- Kiptoo, M. K., Adewuyi, O. B., Furukakoi, M., Mandal, P. and Senjyu, T. (2023). Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty. Energies, 16(19), p. 6838. doi: 10.3390/en16196838
- Kumar, A. A. and Prabha, N. A. (2022). A Comprehensive Review of DC Microgrid in Market Segments and Control Technique. Heliyon, 8, p. e11694. doi: 10.1016/j.heliyon.2022.e11694
- Meddeb, A., Sahbeni, N., Jmii, H., and Chebbi, S. (2018, March). Impact of distributed generation on the protection system in Tunisian distribution network. In: 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, Yasmine Hammamet, Tunisia, pp. 514–520.
- Mohamed, A., Refaat, S. S. and Abu-Rub, H. (2019). A Review on Big Data Management and Decision-Making in Smart Grid. Power Electronics and Drives, 4(39), pp. 1–13. doi: 10.2478/pead-2019-0011
- Parvaneh, F. and Hammad, A. (2024). Application of Multi-Criteria Decision-Making (MCDM) to Select the Most Sustainable Power-Generating Technology. Sustainability, 16(8), p. 3287. doi: 10.3390/su16083287
- Punitha, S., Subramaniam, N. P. and Vimal Raj, P. A. D. (2024). A Comprehensive Review of Microgrid Challenges in Architectures, Mitigation Approaches, and Future Directions. Journal of Electrical Systems and Information Technology, 11(1), p. 60. doi: 10.1186/s43067-024-00188-4
- Rocchetta, R., Zio, E. and Patelli, E. (2018). A Power-Flow Emulator Approach for Resilience Assessment of Repairable Power Grids Subject to Weather-Induced Failures and Data Deficiency. Applied Energy, 210, pp. 339–350. doi: 10.1016/j.apenergy.2017.10.126
- Saaty, T. L. (2008). Decision Making with the Analytic Hierarchy Process. International Journal of Services Sciences, 1(1), pp. 83–98. doi: 10.1504/IJSSCI.2008.017590
- Saaty, T. L. and Vargas, L. G. (2012). Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. Springer Science & Business Media, New York.
- Siksnelyte, I., Zavadskas, E. K., Streimikiene, D. and Sharma, D. (2018). An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues. Energies, 11(10), p. 2754. doi: 10.3390/en11102754
- Wang, F., Tian, J., Ling, J., Chen, Z. and Xu, Z. (2025). A Multi-Stage Resilience Analysis Framework of Critical Infrastructure Systems Based on Component Importance Measures. Reliability Engineering & System Safety, 256, p. 110720. doi: 10.1016/j.ress.2024.110720
- Wang, H., Yan, S., Ju, D., Ma, N., Fang, J., Wang, S., Li, H., Zhang, T., Xie, Y. and Wang, J. (2023). Short-Term Photovoltaic Power Forecasting Based on A Feature Rise-Dimensional Two-Layer Ensemble Learning Model. Sustainability, 15(21), p. 15594. doi: 10.3390/su152115594
- Yildiz, O. A., Cebi, S. and Yildiz, O. (2025). Multicriteria Decision Support for Sustainable Energy Planning: An Evaluation of Alternative Scenarios for the Solar Power Plant Site Selection. Environment, Development and Sustainability, pp. 1–35. doi: 10.1007/s10668-024-05943-1.
- Yodo, N. and Wang, P. (2016). Engineering Resilience Quantification and System Design Implications: A Literature Survey. Journal of Mechanical Design, 138(11), p. 111408. doi: 10.1115/1.4034223