Hybrid Renewable Energy Systems—A Review of Optimization Approaches and Future Challenges
Source abstract
Abstract
The growing need for sustainable energy solutions has propelled the development of Hybrid Renewable Energy Systems (HRESs), which integrate diverse renewable sources like solar, wind, biomass, geothermal, hydropower and tidal. This review paper focuses on balancing economic, environmental, social and technical criteria to enhance system performance and resilience. Using comprehensive methodologies, the review examines state-of-the-art algorithms such as Multi-Objective Particle Swarm Optimization (MOPSO) and Non-Dominated Sorting Genetic Algorithm II (NSGA-II), alongside Crow Search Algorithm (CSA), Grey Wolf Optimizer (GWO), Levy Flight-Salp Swarm Algorithm (LF-SSA), Mixed-Integer Linear Programming (MILP) and tools like HOMER Pro 3.12–3.16 and MATLAB 9.1–9.13, which have been instrumental in optimizing HRESs. Key findings highlight the growing role of advanced, multi-energy storage technologies in stabilizing HRESs and addressing the intermittency of renewable sources. Moreover, the integration of metaheuristic algorithms with machine learning has enabled dynamic adaptability and predictive optimization, paving the way for real-time energy management. HRES configurations for cost-effectiveness, environmental sustainability, and operational reliability while also emphasizing the transformative potential of emerging technologies such as quantum computing are underscored. This review provides critical insights into the evolving landscape of HRES optimization, offering actionable recommendations for future research and practical applications in achieving global energy sustainability goals.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Hybrid Renewable Energy Systems · Integrated Energy Systems Optimization · Advanced Battery Technologies Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Lithuanian Energy Institute, Breslaujos St. 3, 44403 Kaunas, Lithuania
References (94)
Show source-provided references
1. Smart grid technologies and application in the sustainable energy transition: A review10.1080/14786451.2023.2222298 ↗
2. United Nations Framework Convention on Climate Change (UNFCCC) (2025, January 05). Paris Agreement. Available online: https://unfccc.int/sites/default/files/resource/parisagreement_publication.pdf.
3. Towards renewables development: Review of optimisation techniques for energy storage and hybrid renewable energy systems10.1016/j.heliyon.2024.e37482 ↗
4. A review on multi-energy systems modelling and optimisation10.1016/j.applthermaleng.2023.121871 ↗
5. A rigorous optimisation method for long-term multi-stage investment planning: Integration of hydrogen into a decentralized multi-energy system10.1016/j.egyr.2024.11.079 ↗
6. Battery energy-storage system: A review of technologies, optimisation objectives, constraints, approaches, and outstanding issues10.1016/j.est.2021.103023 ↗
7. Haldia, P., Kumar, S., Negi, S., and Sagar, N. (2023, January 18–22). Reliability Improvement Technique Considering Various Renewable Energy Sources. Proceedings of the IEEE International Conference on Industrial Electronics: Developments and Applications (INDUC 2023), Imphal, India.10.1109/ICIDeA59866.2023.10295062 ↗
8. Frequency-Constrained Expansion Planning for Wind and Photovoltaic Power in Wind-Photovoltaic-Hydro-Thermal Multi-Power Systems10.1016/j.apenergy.2023.122401 ↗
9. Multi-criteria decision-making model for optimal planning of on/off-grid hybrid solar, wind, hydro, biomass clean electricity supply10.1016/j.renene.2021.07.063 ↗
10. Comprehensive sustainability assessment and multi-objective optimisation of a novel renewable energy-driven multi-energy supply system10.1016/j.applthermaleng.2023.121461 ↗
11. Optimisation modelling tools and solving techniques for integrated precinct-scale energy–water system planning10.1016/j.apenergy.2022.119190 ↗
12. Review on optimisation techniques and the role of Artificial Intelligence in home energy management systems10.1016/j.engappai.2022.105721 ↗
13. A review on the integrated optimisation techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems10.1016/j.renene.2022.05.123 ↗
14. Modeling and optimisation of renewable hydrogen systems: A systematic methodological review and machine learning integration10.1016/j.egyai.2024.100455 ↗
15. AEM-Electrolyzer Based Hydrogen Integrated Renewable Energy System Optimisation Model for Distributed Communities10.1016/j.enconman.2023.117025 ↗
16. Multi-objective optimisation of large-scale grid-connected photovoltaic-hydrogen-natural gas integrated energy power station based on carbon emission priority10.1016/j.ijhydene.2022.10.121 ↗
17. An effective optimisation algorithm for hydrogen fuel cell-based hybrid energy system: A sustainable microgrid approach10.1016/j.ijhydene.2024.12.176 ↗
18. Optimisation of Multi-Period Renewable Energy Systems with Hydrogen and Battery Energy Storage: A P-Graph Approach10.1016/j.enconman.2023.116826 ↗
19. Integrated off-grid hybrid renewable energy system optimisation based on economic, environmental, and social indicators for sustainable development10.1016/j.energy.2022.123823 ↗
20. Optimal sizing design and integrated cost-benefit assessment of stand-alone microgrid system with different energy storage employing chameleon swarm algorithm: A rural case in Northeast China10.1016/j.renene.2022.12.005 ↗
21. Design optimisation of off-grid Hybrid Renewable Energy Systems considering the effects of building energy performance and climate change: Case study of Algeria10.1016/j.energy.2020.119605 ↗
22. Design and operation of renewable energy sources-based hydrogen supply system: Technology integration and optimisation10.1016/j.renene.2016.11.038 ↗
23. European Commission (2019). Clean Energy for All Europeans Package, European Commission. Available online: https://energy.ec.europa.eu/document/download/4d355bf1-1381-4d95-9c48-3b5b8c58469e_en?filename=cleanenergy_com_en.pdf.
24. International Renewable Energy Agency (IRENA) (2020). Renewable Energy Integration in Power Grids, IRENA. Available online: https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2020/Jul/IRENA_Renewable_Energy_Statistics_2020.pdf.
25. U.S. Department of Energy (DOE) (2025, January 01). Grid Modernization Initiative, Available online: https://www.energy.gov/sites/prod/files/2021/02/f82/GMI_Strategy_FINAL%20as%20of%201.20.21.pdf.
26. International Energy Agency (IEA) (2021). World Energy Outlook 2021, IEA. Available online: https://www.iea.org/reports/world-energy-outlook-2021.
27. A Review of Renewable Energy-Based Power Supply Options for Telecom Towers10.1007/s10668-023-02917-7 ↗
28. Economics of Renewable Hydrogen Production Using Wind and Solar Energy: A Case Study for Queensland, Australia10.1016/j.jclepro.2023.140476 ↗
29. Queensland Government (2025, January 03). New Green Hydrogen Investment Set to Boost Queensland Economy, Available online: https://statements.qld.gov.au/statements/101665.
30. Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach10.1016/j.jclepro.2021.129840 ↗
31. Techno-economic and environmental assessment of renewable energy sources, virtual synchronous generators, and electric vehicle charging stations in microgrids10.1016/j.apenergy.2023.122028 ↗
32. An effective design of hybrid renewable energy system using an improved Archimedes Optimisation Algorithm: A case study of Farafra, Egypt10.1016/j.enconman.2023.116907 ↗
33. Optimisation of a hybrid solar/wind/storage system with bio-generator for a household by emerging metaheuristic optimisation algorithm10.1016/j.est.2023.108967 ↗
34. Hybridized Off-Grid Fuel Cell/Wind/Solar PV/Battery for Energy Generation in a Small Household: A Multi-Criteria Perspective10.1016/j.ijhydene.2021.12.018 ↗
35. Designing, optimizing and comparing distributed generation technologies as a substitute system for reducing life cycle costs, CO2 emissions, and power losses in residential buildings10.1016/j.energy.2022.123947 ↗
36. European Commission (2025, January 03). Energy Communities. Available online: https://energy.ec.europa.eu/topics/markets-and-consumers/energy-consumers-and-prosumers/energy-communities_en.
37. Optimal techno-economic design of hybrid PV/wind system comprising battery energy storage: Case study for a remote area10.1016/j.enconman.2021.114847 ↗
38. Design, Optimisation, and Data Analysis of Solar-Tidal Hybrid Renewable Energy System for Hurawalhi, Maldives10.1016/j.cles.2023.100088 ↗
39. Design and Optimum Energy Management of a Hybrid Renewable Energy System Based on Efficient Various Hydrogen Production10.1016/j.ijhydene.2020.08.040 ↗
40. Performance Prediction and Optimisation of a Hybrid Renewable-Energy-Based Multigeneration System Using Machine Learning10.1016/j.energy.2023.128908 ↗
41. Scheduling of Renewable Energy Hydrogen Production System Based on Two-Stage Distribution Robust Optimisation10.1007/978-981-99-8631-6_25 ↗
42. Optimisation of size and control strategy in utility-scale green hydrogen production systems10.1016/j.ijhydene.2023.08.273 ↗
43. Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability10.1016/j.energy.2017.12.057 ↗
44. A bi-level gaming programming for regional integrated energy system considering the users’ reliability incentive10.1016/j.ress.2022.108839 ↗
45. Designing of Stand-Alone Hybrid PV/Wind/Battery System Using Improved Crow Search Algorithm Considering Reliability Index10.1007/s40095-019-00319-y ↗
46. Comparative evaluation of hybrid photovoltaic, wind, tidal, and fuel cell clean system design for different regions with remote application considering cost10.1016/j.jclepro.2020.124207 ↗
47. New hybrid meta-heuristic algorithm for reliable and cost-effective designing of photovoltaic/wind/fuel cell energy system considering load interruption probability10.1016/j.jclepro.2020.123406 ↗
48. Operational strategy and capacity optimisation of standalone solar-wind-biomass-fuel cell energy system using hybrid LF-SSA algorithms10.1016/j.ijhydene.2023.07.215 ↗
49. Optimal sizing and deployment of gravity energy storage system in hybrid PV-Wind power plant10.1016/j.renene.2021.10.072 ↗
50. Robust multi-objective optimal design of islanded hybrid system with renewable and diesel sources/stationary and mobile energy storage systems10.1016/j.rser.2021.111295 ↗
51. Techno-economic analysis of combined cooling, heating, and power (CCHP) system integrated with multiple renewable energy sources and energy storage units10.1016/j.enbuild.2022.112618 ↗
52. Maiden application of Cuckoo Search algorithm for optimal sizing of a remote hybrid renewable energy system10.1016/j.renene.2016.04.069 ↗
53. Techno-economic study and the optimal hybrid renewable energy system design for a hotel building with net zero energy and net zero carbon emissions10.1016/j.enconman.2023.117195 ↗
54. Techno-economical evaluation of a hydrogen refuelling station powered by Wind-PV hybrid power system: A case study for Izmir-Çeşme10.1016/j.ijhydene.2018.01.082 ↗
55. Techno-economic and environmental design of hybrid energy systems using multi-objective optimisation and multi-criteria decision-making methods10.1016/j.enconman.2023.116873 ↗
56. Environmental and economic multi-objective optimisation of a household level hybrid renewable energy system by genetic algorithm10.1016/j.apenergy.2020.115058 ↗
57. Optimal Design of Hybrid DG Systems for Microgrid Reliability Enhancement10.1049/iet-gtd.2019.0277 ↗
58. Multi-objective optimal power management and sizing of a reliable wind/PV microgrid with hydrogen energy storage using MOPSO
59. Multi-objective optimisation and the effect of economic factors on the design of the microgrid hybrid system10.1016/j.scs.2020.102646 ↗
60. An innovative process design and multi-criteria study/optimisation of a biomass digestion-supercritical carbon dioxide scenario toward boosting a geothermal-driven cogeneration system for power and heat10.1016/j.energy.2024.130408 ↗
61. Potential and Economic Viability of Green Hydrogen Production from Seawater Electrolysis Using Renewable Energy in Remote Japanese Islands10.1016/j.renene.2022.12.046 ↗
62. A multi-objective optimisation model for fast electric vehicle charging stations with wind, PV power, and energy storage10.1016/j.jclepro.2020.125564 ↗
63. Yang, T., Yan, X., Cai, W., Luo, H., Xu, N., Tong, L., Yan, F., Chahine, R., and Xiao, J. (2024). Parametric Study and Optimisation of Hydrogen Production Systems Based on Solar/Wind Hybrid Renewable Energies: A Case Study in Kuqa, China. Sustainability, 16.10.3390/su16020896 ↗
64. Techno-economic analysis and optimization of a hybrid solar-wind-biomass-battery framework for the electrification of a remote area: A case study
65. Integrated approach for optimal techno-economic planning for high renewable energy-based isolated microgrid considering cost of energy storage and demand response strategies10.1016/j.enconman.2020.112917 ↗
66. A Combined Multi-Objective Intelligent Optimisation Approach Considering Techno-Economic and Reliability Factors for Hybrid-Renewable Microgrid Systems10.1016/j.jclepro.2022.135249 ↗
67. Coupling time-varying power sources to production of green hydrogen: A superstructure-based approach for technology selection and optimal design10.1016/j.cherd.2022.05.007 ↗
68. Optimal Selection and Analysis of Microgrid Energy System Using Markov Process
69. Al-Shafei, A., Zareipour, H., and Cao, Y.A. (2022). Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimisation. arXiv.
70. Hydro-Thermal Unit Commitment involving Demand Response resources: A MILP formulation10.1007/s00202-022-01651-z ↗
71. Load-frequency and voltage control for power quality enhancement in a SPV/Wind utility-tied system using GA & PSO optimisation10.1016/j.rico.2024.100442 ↗
72. Optimal sizing of an off-grid and grid-connected hybrid photovoltaic-wind system with battery and fuel cell storage system: A techno-economic, environmental, and social assessment10.1016/j.apenergy.2024.123201 ↗
73. An improved artificial ecosystem optimisation algorithm for optimal configuration of a hybrid PV/WT/FC energy system10.1016/j.aej.2020.10.027 ↗
74. Multi-objective optimisation of campus microgrid system considering electric vehicle charging load integrated to power grid10.1016/j.scs.2023.104778 ↗
75. Maximum power point tracking of solar photovoltaic under partial shading conditions based on improved salp swarm algorithm10.1016/j.epsr.2024.111316 ↗
76. Adaptive levy-assisted salp swarm algorithm: Analysis and optimisation case studies10.1016/j.matcom.2020.09.027 ↗
77. Forecast of the hydropower generation under influence of climate change based on RCPs and Developed Crow Search Optimisation Algorithm10.1016/j.egyr.2021.01.006 ↗
78. The service trade with AI and energy efficiency: Multiplier effect of the digital economy in a green city by using quantum computation based on QUBO modeling10.1016/j.eneco.2024.107976 ↗
79. Dynamic connectedness of quantum computing, artificial intelligence, and big data stocks on renewable and sustainable energy10.1016/j.eneco.2024.108017 ↗
80. Research advancements in quantum computing and digital twins10.1016/B978-0-443-28884-5.00005-1 ↗
81. A Free and Open-Source Microgrid Optimisation Tool
82. A comprehensive review of building energy optimisation using metaheuristic algorithms10.1016/j.jobe.2024.111377 ↗
83. Optimizing the penetration of standalone microgrid, incorporating demand-side management as a guiding principle10.1016/j.egyr.2022.01.192 ↗
84. An advanced meta metrics-based approach to assess an appropriate optimisation method for Wind/PV/Battery based hybrid AC-DC microgrid10.1016/j.prime.2024.100640 ↗
85. Multi-objective particle swarm optimisation algorithm based on multi-strategy improvement for hybrid energy storage optimisation configuration10.1016/j.renene.2024.120086 ↗
86. Energy retrofitting of hospital buildings considering climate change: An approach integrating automated machine learning with NSGA-III for multi-objective optimisation10.1016/j.enbuild.2024.114571 ↗
87. TOPSIS and Modified TOPSIS: A comparative analysis10.1016/j.dajour.2021.100021 ↗
88. Review of the grey wolf optimisation algorithm: Variants and applications10.1007/s00521-023-09202-8 ↗
89. Priority-based scheduling in residential energy management systems integrated with renewable sources using adaptive Salp swarm algorithm10.1016/j.rineng.2024.102643 ↗
90. Two-stage optimal operation of integrated energy system considering multiple uncertainties and integrated demand response10.1016/j.energy.2021.120256 ↗
91. Power Control of Hybrid Grid-Connected Renewable Energy System Using Machine Learning10.1016/j.egyr.2023.12.060 ↗
92. Enhancement of the Power System Distribution Reliability Using Ant Colony Optimisation and Simulated Annealing Methods
93. Thermoeconomic appraisal of a novel power and hydrogen cogeneration plant with integration of biomass and geothermal energies10.1016/j.ijhydene.2023.02.066 ↗
94. Optimizing Solar-Wind Hybrid Energy Systems for Sustainable Charging Stations and Commercial Applications: A Two-Stage Framework with Ebola-Inspired Optimisation10.1016/j.eswa.2024.123180 ↗