An Overview for Optimal Planning and Reliable Operations of Multi Vector Energy Systems for On-Grid and Standalone Applications
Khaliq Ahmed , Devkaran Sakravdia , Chandrakant Sharma
Clean Energy Sustain. ›› 2026, Vol. 4 ›› Issue (3) : 10014
The increasing global demand for electricity has accelerated the integration of renewable energy sources, including solar photovoltaic (PV) systems, wind energy conversion systems (WECS), and battery energy storage systems (BESS), into modern power networks. Although these resources improve sustainability and reduce dependence on fossil fuels, their intermittent and variable nature introduces significant challenges related to system reliability, power quality, operational costs, and energy management, particularly in standalone and off-grid applications. This study presents a comprehensive review and analysis of both standalone and grid-connected renewable energy systems employed in distributed generation. Special emphasis is placed on evaluating the impact of renewable energy variability on system performance and reliability. Furthermore, the study investigates the role of green hydrogen technologies, including electrolyzes and fuel cells, as long-term energy storage solutions in hybrid renewable energy systems. The findings indicate that integrating green hydrogen with solar and wind resources can significantly enhance energy reliability, improve system flexibility, and ensure a continuous power supply in off-grid environments. The study highlights hybrid green hydrogen-based renewable energy systems as a promising pathway toward sustainable, reliable, and resilient future energy infrastructures.
Distributed generation (DGs) / Renewable energy system (RES) / Hybrid green power system (HGPS) / Fuel cell / Optimization / Reliability
| [1] |
|
| [2] |
Singh SN. Distributed Generation in Power Systems: An Overview and Key Issues. In Proceedings of the 24th Indian Engineering Congress, NIT Surathkal, Kerala, India, 10-13 December 2009. |
| [3] |
|
| [4] |
Ahangar HG, Yew WK, Flynn D. Smart Local Energy Systems: Optimal Planning of Stand-Alone Hybrid Green Power Systems for On-Line Charging of Electric Vehicles. IEEE Access 2023, 11, 7398-7409. DOI: 10.1109/ACCESS.2023.3237326 |
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
Selmi T, Khadhraoui A, |
| [9] |
|
| [10] |
Wang G, Chao Y, Cao Y, Jiang T, Han W, |
| [11] |
|
| [12] |
|
| [13] |
Chauhan A, Saini RP. A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control. Renew. Sustain. Energy Rev. 2014, 38, 99-120. DOI: 10.1016/j.rser.2014.05.079 |
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
Masoum AS, Deilami S, Moses PS, Masoum MAS, Abu-Siada A. Smart load management of plug-in electric vehicles in distribution and residential networks with charging stations for peak shaving and loss minimisation considering voltage regulation. IET Gener. Transm. Distrib. 2011, 5, 877-888. DOI: 10.1049/iet-gtd.2010.0574 |
| [23] |
|
| [24] |
Shirazi A, Aminyavari M, Najafi B, Rinaldi F, |
| [25] |
Deb K. Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction. In Multi-Objective Evolutionary Optimization for Product Design and Manufacturing; Springer: London, UK, 2011; pp. 3-34. DOI: 10.1007/978-0-85729-652-8_1 |
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
Jouhara H, Żabnieńska-Góra A, Khordehgah N, Ahmad D, |
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
Endrenyi J. Reliability Modeling in Electric Power Systems; John Wiley & Sons: Chichester, UK, 1978. |
| [47] |
|
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
Falaghi H, Haghifam MR. ACO Based Algorithm for Distributed Generation Sources Allocation and Sizing in Distribution Systems. In Proceedings of the 2007 IEEE Lausanne Power Tech, Lausanne, Switzerland, 1-5 July 2007; pp. 555-560. DOI: 10.1109/PCT.2007.4538377 |
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
Paliwal P, Patidar NP, Nema RK. A novel method for reliability assessment of autonomous PV-wind-storage system using probabilistic storage model. Int. J. Electr. Power Energy Syst. 2014, 55, 692-703. DOI: 10.1016/j.ijepes.2013.10.010 |
| [66] |
|
| [67] |
Conti S, Nicolosi R, |
| [68] |
Costa PM, Matos MA. Assessing the contribution of microgrids to the reliability of distribution networks. Electr. Power Syst. Res. 2009, 79, 382-389. DOI: 10.1016/j.epsr.2008.07.009 |
| [69] |
|
| [70] |
|
| [71] |
|
| [72] |
Ahmed K, Sakravdia D, Sharma C. Optimal Planning of Distributed Generation System for EV Charging Stations using Hybrid CPSO-ACA Optimization. In Proceedings of the 2024 2nd International Conference on Computer, Communication and Control (IC4), Indore, India, 8-10 February 2024; pp. 1-5. DOI: 10.1109/IC457434.2024.10486704 |
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|
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