A Review on Integration Challenges for Hybrid Energy Generation Using Algorithms
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M. A. Virk, M. F. Mysorewala, L. Cheded, A. Aliyu, “Review of energy harvesting techniques in wireless sensor-based pipeline monitoring networks,” Renewable and Sustainable Energy Reviews, vol. 157, p. 112046, 2022, https://doi.org/10.1016/j.rser.2021.112046.
D. Hao et al., “Solar energy harvesting technologies for PV self-powered applications: A comprehensive review,” Renewable Energy, vol. 188, pp. 678-697, 2022, https://doi.org/10.1016/j.renene.2022.02.066.
Z. Li, S. Zhou, Z. Yang, “Recent progress on flutter‐based wind energy harvesting,” International Journal of Mechanical System Dynamics, vol. 2, no. 1, pp. 82-98, 2022, https://doi.org/10.1002/msd2.12035.
Z. Qin, X. Tang, Y. T. Wu, S. K. Lyu, “Advancement of Tidal Current Generation Technology in Recent Years: A Review,” Energies, vol. 15, no. 21, p. 8042, 2022, https://doi.org/10.3390/en15218042.
X. Ma, S. Zhou, “A review of flow-induced vibration energy harvesters,” Energy Conversion and Management, vol. 254, p. 115223, 2022, https://doi.org/10.1016/j.enconman.2022.115223.
A. Z. Arsad et al., “Hydrogen energy storage integrated hybrid renewable energy systems: A review analysis for future research directions,” International Journal of Hydrogen Energy, vol. 47, no. 39, pp. 17285-17312, 2022, https://doi.org/10.1016/j.ijhydene.2022.03.208.
D. Roy, “Modelling an off-grid hybrid renewable energy system to deliver electricity to a remote Indian island,” Energy Conversion and Management, vol. 281, p. 116839, 2023, https://doi.org/10.1016/j.enconman.2023.116839.
P. Roy, J. He, T. Zhao and Y. V. Singh, "Recent Advances of Wind-Solar Hybrid Renewable Energy Systems for Power Generation: A Review," IEEE Open Journal of the Industrial Electronics Society, vol. 3, pp. 81-104, 2022, https://doi.org/10.1109/OJIES.2022.3144093.
B. Nastasi, N. Markovska, T. Puksec, N. Duić, A. Foley, “Renewable and sustainable energy challenges to face for the achievement of Sustainable Development Goals,” Renewable and Sustainable Energy Reviews, vol. 157, p. 112071, 2022, https://doi.org/10.1016/j.rser.2022.112071.
K. A. Khatri, K. B. Shah, J. Logeshwaran, A. Shrestha, “Genetic algorithm based techno-economic optimization of an isolated hybrid energy system,” ICTACT Journal on Microelectronics, vol. 08, no. 04, pp. 1447-1450, 2023, https://ictactjournals.in/paper/IJME_Vol_8_Iss_4_Paper_3_1447_1450.pdf.
S. Liaquat, M. F. Zia, M. Benbouzid, “Modeling and formulation of optimization problems for optimal scheduling of multi-generation and hybrid energy systems: Review and recommendations,” Electronics, vol. 10, no. 14, p. 1688, 2021, https://doi.org/10.3390/electronics10141688.
Y. Yuan, J. Wang, X. Yan, B. Shen, T. Long, “A review of multi-energy hybrid power system for ships,” Renewable and Sustainable Energy Reviews, vol. 132, p. 110081, 2020, https://doi.org/10.1016/j.rser.2020.110081.
G. Rostirolla et al., “A survey of challenges and solutions for the integration of renewable energy in datacenters,” Renewable and Sustainable Energy Reviews, vol. 155, p. 111787, 2022, https://doi.org/10.1016/j.rser.2021.111787.
Z. Liu et al., “Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives,” Energy and AI, vol. 10, p. 100195, 2022, https://doi.org/10.1016/j.egyai.2022.100195.
M. A. Halim, M. S. Akter, S. Biswas, M. S. Rahman, “Integration of Renewable Energy Power Plants on a Large Scale and Flexible Demand in Bangladesh's Electric Grid-A Case Study,” Control Systems and Optimization Letters, vol. 1, no. 3, pp. 157-168, 2023, https://doi.org/10.59247/csol.v1i3.48.
C. Ammari, D. Belatrache, B. Touhami, S. Makhloufi, “Sizing, optimization, control and energy management of hybrid renewable energy system—A review,” Energy and Built Environment, vol. 3, no. 4, pp. 399-411, 2022, https://doi.org/10.1016/j.enbenv.2021.04.002.
M. S. Alnahari, S. T. Ariaratnam, “The Application of Blockchain Technology to Smart City Infrastructure,” Smart Cities, vol. 5, no. 3, pp. 979-993, 2022, https://doi.org/10.3390/smartcities5030049.
W. Azam, I. Khan, S. A. Ali, “Alternative energy and natural resources in determining environmental sustainability: a look at the role of government final consumption expenditures in France,” Environmental Science and Pollution Research, vol. 30, pp. 1949-1965, 2023, https://doi.org/10.1007/s11356-022-22334-z.
X. Li, C. J. Raorane, C. Xia, Y. Wu, T. K. N. Tran, T. Khademi, “Latest approaches on green hydrogen as a potential source of renewable energy towards sustainable energy: Spotlighting of recent innovations, challenges, and future insights,” Fuel, vol. 334, p. 126684, 2023, https://doi.org/10.1016/j.fuel.2022.126684.
A. Kasaeian, M. Javidmehr, M. R. Mirzaie, L. Fereidooni, “Integration of solid oxide fuel cells with solar energy systems: A review,” Applied Thermal Engineering, vol. 224, p. 120117, 2023, https://doi.org/10.1016/j.applthermaleng.2023.120117.
Y. S. Mohammed, B. B. Adetokun, O. Oghorada, O. Oshiga, “Techno-economic optimization of standalone hybrid power systems in context of intelligent computational multi-objective algorithms,” Energy Reports, vol. 8, pp. 11661-11674, 2022, https://doi.org/10.1016/j.egyr.2022.09.010.
S. R. Ola et al., “Alienation Coefficient and Wigner Distribution Function Based Protection Scheme for Hybrid Power System Network with Renewable Energy Penetration,” Energies, vol. 13, no. 5, p. 1120, 2020, https://doi.org/10.3390/en13051120.
Y. Zhang, Q. Xue, D. Gao, W. Shi, W. Yu, “Two-level model predictive control energy management strategy for hybrid power ships with hybrid energy storage system,” Journal of Energy Storage, vol. 52, p. 104763, 2022, https://doi.org/10.1016/j.est.2022.104763.
J. Shang, J. Gao, X. Jiang, M. Liu, D. Liu, “Optimal configuration of hybrid energy systems considering power to hydrogen and electricity-price prediction: A two-stage multi-objective bi-level framework,” Energy, vol. 263, p. 126023, 2023, https://doi.org/10.1016/j.energy.2022.126023.
Z. Asghar, K. Hafeez, D. Sabir, B. Ijaz, S. S. H. Bukhari and J. Ro, "RECLAIM: Renewable Energy Based Demand-Side Management Using Machine Learning Models," IEEE Access, vol. 11, pp. 3846-3857, 2023, https://doi.org/10.1109/ACCESS.2023.3235209.
M. R. Maghami, A. G. O. Mutambara, “Challenges associated with Hybrid Energy Systems: An artificial intelligence solution,” Energy Reports, vol. 9, pp. 924-940, 2023, https://doi.org/10.1016/j.egyr.2022.11.195.
M. Thirunavukkarasu, Y. Sawle, H. Lala, “A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques,” Renewable and Sustainable Energy Reviews, vol. 176, p. 113192, 2023, https://doi.org/10.1016/j.rser.2023.113192.
M. R. Zaman, S. Sarker, M. A. Halim, S. Ibrahim, A. Haque, “A Comprehensive Review of Techno-Economic Perspective of AC/DC Hybrid Microgrid,” Control Systems and Optimization Letters, vol. 2, no. 1, pp. 36-42, 2024, https://doi.org/10.59247/csol.v2i1.72.
G. Wu, C. Wang, W. Zhao, Q. Meng, “Integrated energy management of hybrid power supply based on short-term speed prediction,” Energy, vol. 262, p. 125620, 2023, https://doi.org/10.1016/j.energy.2022.125620.
M. E. Shayan, G. Najafi, B. Ghobadian, S. Gorjian, M. Mazlan, “A novel approach of synchronization of the sustainable grid with an intelligent local hybrid renewable energy control,” International Journal of Energy and Environmental Engineering, vol. 14, pp. 35-46, 2023, https://doi.org/10.1007/s40095-022-00503-7.
S. A. Omidi, M. J. A. Baig, M. T. Iqbal, “Design and Implementation of Node-Red Based Open-Source SCADA Architecture for a Hybrid Power System,” Energies, vol. 16, no. 5, p. 2092, https://doi.org/10.3390/en16052092.
M. Shirvanimoghaddam et al., "Towards a Green and Self-Powered Internet of Things Using Piezoelectric Energy Harvesting," IEEE Access, vol. 7, pp. 94533-94556, 2019, https://doi.org/10.1109/ACCESS.2019.2928523.
Izhar, M. Iqbal, F. Khan, “Hybrid acoustic, vibration, and wind energy harvester using piezoelectric transduction for self-powered wireless sensor node applications,” Energy Conversion and Management, vol. 277, p. 116635, 2023, https://doi.org/10.1016/j.enconman.2022.116635.
I. Furuta et al., "Efficient Bone Conduction Hearing Device With a Novel Piezoelectric Transducer Using Skin as an Electrode," IEEE Transactions on Biomedical Engineering, vol. 69, no. 11, pp. 3326-3333, 2022, https://doi.org/10.1109/TBME.2022.3168229.
A. K. Hamzat, M. I. Omisanya, A. Z. Sahin, O. R. Oyetunji, N. A. Olaitan, “Application of nanofluid in solar energy harvesting devices: A comprehensive review,” Energy Conversion and Management, vol. 266, p. 115790, 2022, https://doi.org/10.1016/j.enconman.2022.115790.
R. Khan, R. Kumar, Z. Ma, “Experimental investigations on the performance characteristics of plastic surfaces for developing low flow falling film liquid desiccant regenerators,” Solar Energy, vol. 236, pp. 356-368, 2022, https://doi.org/10.1016/j.solener.2022.03.012.
Y. Cao, M. S. Taslimi, S. M. Dastjerdi, P. Ahmadi, M. Ashjaee, “Design, dynamic simulation, and optimal size selection of a hybrid solar/wind and battery-based system for off-grid energy supply,” Renewable Energy, vol. 187, pp. 1082-1099, 2022, https://doi.org/10.1016/j.renene.2022.01.112.
M. Mansour, I. Mansour, A. Zekry, “A reconfigurable class-F radio frequency voltage doubler from 650 MHz to 900 MHz for energy harvesting applications,” Alexandria Engineering Journal, vol. 61, no. 10, pp. 8277-8287, 2022, https://doi.org/10.1016/j.aej.2022.01.045.
D. K. Sah, S. Srivastava, R. Kumar, T. Amgoth, “An energy efficient coverage aware algorithm in energy harvesting wireless sensor networks,” Wireless Networks, vol. 29, no. 3, pp. 1175-1195, 2023, https://doi.org/10.1007/s11276-022-03125-3.
P. Gupta, S. Tripathi, S. Singh, V. S. Gupta, “MPPT-EPO optimized solar energy harvesting for maximizing the WSN lifetime,” Peer-to-Peer Networking and Applications, vol. 16, pp. 347-357, 2022, https://doi.org/10.1007/s12083-022-01405-5.
D. Dash, “A novel two-phase energy efficient load balancing scheme for efficient data collection for energy harvesting WSNs using mobile sink,” Ad Hoc Networks, vol. 144, p. 103136, 2023, https://doi.org/10.1016/j.adhoc.2023.103136.
A. K. Patwary, M. A. Sayem, M. A. Hossain, M. A. Halim, “A Review of Energy Storage Systems (ESS) for Integrating Renewable Energies in Microgrids,” Control Systems and Optimization Letters, vol. 2, no. 1, pp. 103-112, 2024, https://doi.org/10.59247/csol.v2i1.68.
M. Senyuk, M. Safaraliev, F. Kamalov, H. Sulieman, “Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology,” Mathematics, vol. 11, no. 3, p. 525, 2023, https://doi.org/10.3390/math11030525.
S. T. Meraj, S. S. Yu, M. S. Rahman, K. Hasan, M. H. Lipu, H. Trinh, “Energy management schemes, challenges and impacts of emerging inverter technology for renewable energy integration towards grid decarbonization,” Journal of Cleaner Production, vol. 405, p. 137002, 2023, https://doi.org/10.1016/j.jclepro.2023.137002.
S. P. Bihari et al., "A Comprehensive Review of Microgrid Control Mechanism and Impact Assessment for Hybrid Renewable Energy Integration," IEEE Access, vol. 9, pp. 88942-88958, 2021, https://doi.org/10.1109/ACCESS.2021.3090266.
A. N. Niazi, N. Vasegh, A. A. M. Birjandi, “An Improved Hierarchical Control Structure for Robust Microgrid Operation and Seamless Mode Transfer under Linear and Nonlinear Loads conditions,” International Journal of Engineering, vol. 34, no. 9, pp. 2167-2179, 2021, https://doi.org/10.5829/ije.2021.34.09c.14.
G. Dengler, P. Bazan, R. German, “Simulation of a Cellular Energy System including hierarchies and neighborhoods,” Energy Informatics, vol. 5, p. 51, 2022, https://doi.org/10.1186/s42162-022-00243-2.
A. Reindl, L. Eriksson, M. Niemetz, S. Park, H. Meier, “Control Concepts for a Decentralized Battery Management System to Optimize Reliability and Battery Operation,” Proceedings of the International Renewable Energy Storage Conference (IRES 2022), vol. 16, pp. 401-421, 2023, https://doi.org/10.2991/978-94-6463-156-2_26.
M. J. Mayer, A. Szilágyi, G. Gróf, “Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm,” Applied Energy, vol. 269, p. 115058, 2020, https://doi.org/10.1016/j.apenergy.2020.115058.
A. J. Hutchinson and D. T. Gladwin, "Genetic Algorithm Optimisation of Hybrid Energy Storage System providing Dynamic Frequency Response," 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), pp. 98-103, 2022, https://doi.org/10.1109/ISIE51582.2022.9831478.
P. Rajesh, F. H. Shajin, K. Cherukupalli, “An efficient hybrid tunicate swarm algorithm and radial basis function searching technique for maximum power point tracking in wind energy conversion system,” Journal of Engineering, Design and Technology, 2021, https://doi.org/10.1108/JEDT-12-2020-0494.
T. Wu, X. Shi, L. Liao, C. Zhou, H. Zhou, Y. Su, “A capacity configuration control strategy to alleviate power fluctuation of hybrid energy storage system based on improved particle swarm optimization,” Energies, vol. 12, no. 4, p. 642, 2019, https://doi.org/10.3390/en12040642.
A. Haseltalab, F. Wani, R. R. Negenborn, “Multi-level model predictive control for all-electric ships with hybrid power generation,” International Journal of Electrical Power & Energy Systems, vol. 135, p. 107484, 2022, https://doi.org/10.1016/j.ijepes.2021.107484.
L. Yang, X. Li, M. Sun and C. Sun, "Hybrid Policy-Based Reinforcement Learning of Adaptive Energy Management for the Energy Transmission-Constrained Island Group," IEEE Transactions on Industrial Informatics, vol. 19, no. 11, pp. 10751-10762, 2023, https://doi.org/10.1109/TII.2023.3241682.
S. M. Mahmoudi, A. Maleki, D. R. Ochbelagh, “Optimization of a hybrid energy system with/without considering back-up system by a new technique based on fuzzy logic controller,” Energy Conversion and Management, vol. 229, p. 113723, 2021, https://doi.org/10.1016/j.enconman.2020.113723.
H. Nourianfar, H. Abdi, “Environmental/economic dispatch using a new hybridizing algorithm integrated with an effective constraint handling technique,” Sustainability, vol. 14, no. 6, p. 3173, 2022, https://doi.org/10.1002/er.4847.
V. V. S. N. Murty, A. Kumar, “RETRACTED ARTICLE: Multi-objective energy management in microgrids with hybrid energy sources and battery energy storage systems,” Protection and Control of Modern Power Systems, vol. 5, 2020, https://doi.org/10.1186/s41601-019-0147-z.
A. S. Alkafaji, A. A. Al-Samawi and H. Trabelsi, "Hybrid Energy Storage Review for Renewable Energy System Technologies and Applications," 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), pp. 1059-1067, 2021, https://doi.org/10.1109/SSD52085.2021.9429424.
M. Aalto, K. C. Raghu, O. J. Korpinen, K. Karttunen, T. Ranta, “Modeling of biomass supply system by combining computational methods–A review article,” Applied energy, vol. 243, pp. 145-154, 2019, https://doi.org/10.1016/j.apenergy.2019.03.201.
M. Bajaj, A. K. Singh, “Grid integrated renewable DG systems: A review of power quality challenges and state‐of‐the‐art mitigation techniques,” International Journal of Energy Research, vol. 44, no. 1, pp. 26-69, 2020, https://doi.org/10.1002/er.4847.
O. Krishan, S. Suhag, “Techno-economic analysis of a hybrid renewable energy system for an energy poor rural community,” Journal of Energy Storage, vol. 23, pp. 305-319, 2019, https://doi.org/10.1016/j.est.2019.04.002.
S. A. Shezan et al., “Evaluation of different optimization techniques and control strategies of hybrid microgrid: A review,” Energies, vol. 16, no. 4, p. 1792, 2023, https://doi.org/10.3390/en16041792.
K. Shivam, J. C. Tzou, S. C. Wu, “A multi-objective predictive energy management strategy for residential grid-connected PV-battery hybrid systems based on machine learning technique,” Energy Conversion and Management, vol. 237, p. 114103, 2021, https://doi.org/10.1016/j.enconman.2021.114103.
V. Manusov et al., “Optimal management of energy consumption in an autonomous power system considering alternative energy sources,” Mathematics, vol. 10, no. 3, p. 525, 2022, https://doi.org/10.3390/math10030525.
W. Alhakami, “Computational Study of Security Risk Evaluation in Energy Management and Control Systems Based on a Fuzzy MCDM Method,” Processes, vol. 11, no. 5, p. 1366, 2023, https://doi.org/10.3390/pr11051366.
Z. Ullah, S. Wang, G. Wu, M. Xiao, J. Lai, M. R. Elkadeem, “Advanced energy management strategy for microgrid using real-time monitoring interface,” Journal of Energy Storage, vol. 52, p. 104814, 2022, https://doi.org/10.1016/j.est.2022.104814.
M. Y. Worku, “Recent advances in energy storage systems for renewable source grid integration: a comprehensive review,” Sustainability, vol. 14, no. 10, p. 5985, 2022, https://doi.org/10.3390/su14105985
N. Kanagaraj, M. Al-Ansi, “Maximum Power Extraction Control Algorithm for Hybrid Renewable Energy System,” Computer Systems Science & Engineering, vol. 45, no. 1, pp. 769-784, 2023, https://doi.org/10.32604/csse.2023.029457.
D. Abdul, J. Wenqi, A. Tanveer, “Prioritization of renewable energy source for electricity generation through AHP-VIKOR integrated methodology,” Renewable Energy, vol. 184, pp. 1018-1032, 2022, https://doi.org/10.1016/j.renene.2021.10.082.
G. B. Singh, “Hybrid Power Systems: Grid Stability Through Spinning Reserve,” Turbo Expo: Power for Land, Sea, and Air, vol. 86014, p. V004T07A011, 2022, https://doi.org/10.1115/GT2022-83419.
Y. Yang, S. Bremner, C. Menictas, M. Kay, “Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review,” Renewable and Sustainable Energy Reviews, vol. 167, p. 112671, 2022, https://doi.org/10.1016/j.rser.2022.112671.
H. Mahmood and F. Blaabjerg, "Autonomous Power Management of Distributed Energy Storage Systems in Islanded Microgrids," IEEE Transactions on Sustainable Energy, vol. 13, no. 3, pp. 1507-1522, 2022, https://doi.org/10.1109/TSTE.2022.3156393.
Z. Ullah et al., “Advanced studies for probabilistic optimal power flow in active distribution networks: A scientometric review,” IET Generation, Transmission & Distribution, vol. 16, no. 18, pp. 3579-3604, 2022, https://doi.org/10.1049/gtd2.12555.
T. Hai, J. Zhou, “Optimal planning and design of integrated energy systems in a microgrid incorporating electric vehicles and fuel cell system,” Journal of Power Sources, vol. 561, p. 232694, 2023, https://doi.org/10.1016/j.jpowsour.2023.232694.
A. A. Khan, A. F. Minai, R. K. Pachauri, H. Malik, “Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review,” Energies, vol. 15, no. 17, p. 6249, 2022, https://doi.org/10.3390/en15176249.
S. Manna, D. K. Singh, A. K. Akella, A. Y. Abdelaziz, M. Prasad, “A novel robust model reference adaptive MPPT controller for Photovoltaic systems,” Scientia Iranica, 2022, https://doi.org/10.24200/sci.2022.59553.6312.
L. Al-Ghussain, A. D. Ahmad, A. M. Abubaker, M. A. Mohamed, “An integrated photovoltaic/wind/biomass and hybrid energy storage systems towards 100% renewable energy microgrids in university campuses,” Sustainable Energy Technologies and Assessments, vol. 46, p. 101273, 2021, https://doi.org/10.1016/j.seta.2021.101273.
B. S. Sudarshan, A. Chitra, W. R. Sultana, P. R. Chandrasekhar, T. Ganguli, I. Sahu, “Maximum Power Point Tracking Techniques for Photovoltaic Systems—A Comprehensive Review from Real‐Time Implementation Perspective,” Smart Grids and Green Energy Systems, pp. 159-196, 2022, https://doi.org/10.1002/9781119872061.ch12.
P. Malik, A. Gehlot, R. Singh, L. R. Gupta, A. K. Thakur, “A review on ANN based model for solar radiation and wind speed prediction with real-time data,” Archives of Computational Methods in Engineering, vol. 29, pp. 3183-3201, 2022, https://doi.org/10.1007/s11831-021-09687-3.
D. Shetty, N. S. Jayalakshmi, M. Arjun and P. Hebbar, "Evaluation of MPPT Algorithms for PV System under Partial Shading Conditions," 2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP), pp. 1-6, 2022, https://doi.org/10.1109/ICICCSP53532.2022.9862362.
H. Wang, Y. M. Zhang, J. X. Mao, “Sparse Gaussian process regression for multi-step ahead forecasting of wind gusts combining numerical weather predictions and on-site measurements,” Journal of Wind Engineering and Industrial Aerodynamics, vol. 220, p. 104873, 2022, https://doi.org/10.1016/j.jweia.2021.104873.
R. Raman et al., “Forecasting the PV Power Utilizing a Combined Convolutional Neural Network and Long Short-Term Memory Model,” Electric Power Components and Systems, vol. 52, no. 2, pp. 233-249, 2023, https://doi.org/10.1080/15325008.2023.2217193.
DOI: https://doi.org/10.59247/csol.v2i2.85
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