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State-of-art review of the optimization methods to design the configuration of hybrid renewable energy systems (HRESs)

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Abstract

The current research aims to present an inclusive review of latest research works performed with the aim of improving the efficiency of the hybrid renewable energy systems (HRESs) by employing diverse ranges of the optimization techniques, which aid the designers to achieve the minimum expected total cost, while satisfying the power demand and the reliability. For this purpose, a detailed analysis of the different classification drivers considering the design factors such as the optimization goals, utilized optimization methods, grid type as well as the investigated technology has been conducted. Initial results have indicated that among all optimization goals, load demand parameters including loss of power supply probability (LPSP) and loss of load probability (LLP), cost, sizing (configuration), energy production, and environmental emissions are the most frequent design variables which have been cited the most. Another result of this paper indicates that almost 70% of the research projects have been dedicated towards the optimization of the off-grid applications of the HRESs. Furthermore, it has been demonstrated that, integration of the PV, wind and battery is the most frequent configuration. In the next stage of the paper, a review concerning the sizing methods is also carried out to outline the most common techniques which are used to configure the components of the HRESs. In this regard, an analysis covering the optimized indicators such as the cost drivers, energy index parameters, load indicators, battery’s state of charge, PV generator area, design parameters such as the LPSP, and the wind power generation to load ratio, is also performed.

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References

  1. Sinha S, Chandel S S. Review of recent trends in optimization techniques for solar photovoltaic-wind based hybrid energy systems. Renewable & Sustainable Energy Reviews, 2015, 50: 755–769

    Google Scholar 

  2. El-Hefnawi S H. Photovoltaic diesel-generator hybrid power system sizing. Renewable Energy, 1998, 13(1): 33–40

    Google Scholar 

  3. Shrestha G B, Goel L. A study on optimal sizing of stand-alone photovoltaic stations. IEEE Transactions on Energy Conversion, 1998, 13(4): 373–378

    Google Scholar 

  4. Ashok S. Optimized model for community-based hybrid energy system. Renewable Energy, 2007, 32(7): 1155–1164

    Google Scholar 

  5. Agarwal N, Kumar A, Varun b. Optimization of grid independent hybrid PV–diesel–battery system for power generation in remote villages of Uttar Pradesh, India. Energy for Sustainable Development, 2013, 17(3): 210–219

    Google Scholar 

  6. Wang F C, Chen H C. The development and optimization of customized hybrid power systems. International Journal of Hydrogen Energy, 2016, 41(28): 12261–12272

    Google Scholar 

  7. Shafiullah G M. Hybrid renewable energy integration (HREI) system for subtropical climate in Central Queensland, Australia. Renewable Energy, 2016, 96: 1034–1053

    Google Scholar 

  8. Chauhan A, Saini R P. Techno-economic optimization based approach for energy management of a stand-alone integrated renewable energy system for remote areas of India. Energy, 2016, 94: 138–156

    Google Scholar 

  9. Bordin C, Anuta H O, Crossland A, Gutierrez I L, Dent C J, Vigo D. A linear programming approach for battery degradation analysis and optimization in off grid power systems with solar energy integration. Renewable Energy, 2017, 101: 417–430

    Google Scholar 

  10. Alavi O, Sedaghat A, Mostafaeipour A. Sensitivity analysis of different wind speed distribution models with actual and truncated wind data: a case study for Kerman, Iran. Energy Conversion and Management, 2016, 120: 51–61

    Google Scholar 

  11. Alavi O, Mostafaeipour A, Qolipour M. Analysis of hydrogen production from wind energy in the southeast of Iran. International Journal of Hydrogen Energy, 2016, 41 (34): 15158–15171

    Google Scholar 

  12. Mostafaeipour A, Qolipour M, Mohammadi K. Evaluation of installing photovoltaic plants using a hybrid approach for Khuzestan province, Iran. Renewable & Sustainable Energy Reviews, 2016, 60: 60–74

    Google Scholar 

  13. Mostafaeipour A, Sadeghian A. Development of wind turbine in Iran. In: Proceeding of World Wind Energy Conference, Melbourne, Australia, 2005

    Google Scholar 

  14. Mostafaeipour A, Khayyami M, Sedaghat A, Mohammadi K, Shamshirband S, Sehati M A, Gorakifard E. Evaluating the wind energy potential for hydrogen production: a case study. International Journal of Hydrogen Energy, 2016, 41(15): 6200–6210

    Google Scholar 

  15. Qolipour M, Mostafaeipour A, Shamshirband S, Alavi O, Goudarzi H. Evaluation of wind power generation potential using a three hybrid approach for households in Ardebil Province, Iran. Energy Conversion and Management, 2016, 118: 295–305

    Google Scholar 

  16. Mostafaeipour A, Bardel B, Mohammadi K, Sedaghat A, Dinpashoh Y. Economic evaluation for cooling and ventilation of medicine storage warehouses utilizing wind catchers. Renewable & Sustainable Energy Reviews, 2014, 38: 12–19

    Google Scholar 

  17. Mostafaeipour A, Abesi S. Wind turbine productivity and development in Iran. In: International Conference on Biosciences, Cancun, Mexico, 2010, 39(7): 112–118

    Google Scholar 

  18. Mostafaeipour A. Productivity and development issues of global wind turbine industry. Renewable & Sustainable Energy Reviews, 2010, 14(3): 1048–1058

    Google Scholar 

  19. Ramazankhani M E, Mostafaeipour A, Hosseininasab H, Fakhrzad M B. Feasibility of geothermal power assisted hydrogen production in Iran. International Journal of Hydrogen Energy, 2016, 41 (41): 18351–18369

    Google Scholar 

  20. Zarezade M, Mostafaeipour A. Identifying the effective factors on implementing the solar dryers for Yazd province, Iran. Renewable & Sustainable Energy Reviews, 2016, 57: 765–775

    Google Scholar 

  21. Goudarzi H, Mostafaeipour A. Energy saving evaluation of passive systems for residential buildings in hot and dry regions. Renewable & Sustainable Energy Reviews, 2017, 68: 432–446

    Google Scholar 

  22. Ekren O, Ekren B Y. Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing. Applied Energy, 2010, 87(2): 592–598

    Google Scholar 

  23. Kanase-Patil A B, Saini R P, Sharma M P. Integrated renewable energy systems for off grid rural electrification of remote area. Renewable Energy, 2010, 35(6): 1342–1349

    Google Scholar 

  24. Bilal B O, Sambou V, Ndiaye P A, Kébé C M F, Ndongo M. Optimal design of a hybrid solar–wind-battery system using the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP). Renewable Energy, 2010, 35(10): 2388–2390

    Google Scholar 

  25. Bekele G, Palm B. Feasibility study for a standalone solar–windbased hybrid energy system for application in Ethiopia. Applied Energy, 2010, 87(2): 487–495

    Google Scholar 

  26. Lau K Y, Yousof MF M, Arshad S N M, Anwari M, Yatim A H M. Performance analysis of hybrid photovoltaic/diesel energy system under Malaysian conditions. Energy, 2010, 35(8): 3245–3255

    Google Scholar 

  27. Ren H, Zhou W, Nakagami K I, Gao W, Wu Q. Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects. Applied Energy, 2010, 87(12): 3642–3651

    Google Scholar 

  28. Giannakoudis G, Papadopoulos A I, Seferlis P, Voutetakis S. Optimum design and operation under uncertainty of power systems using renewable energy sources and hydrogen storage. International Journal of Hydrogen Energy, 2010, 35(3): 872–891

    Google Scholar 

  29. Eroglu M, Dursun E, Sevencan S, Song J, Yazici S, Kilic O. A mobile renewable house using PV/wind/fuel cell hybrid power system. International Journal of Hydrogen Energy, 2011, 36(13): 7985–7992

    Google Scholar 

  30. Belfkira R, Zhang L, Barakat G. Optimal sizing study of hybrid wind/PV/diesel power generation unit. Solar Energy, 2011, 85(1): 100–110

    Google Scholar 

  31. Türkay B E, Telli A Y. Economic analysis of standalone and grid connected hybrid energy systems. Renewable Energy, 2011, 36(7): 1931–1943

    Google Scholar 

  32. Gupta A, Saini R P, Sharma M P. Modelling of hybrid energy system—part I: problem formulation and model development. Renewable Energy, 2011, 36(2): 459–465

    Google Scholar 

  33. Kaabeche A, Belhamel M, Ibtiouen R. Sizing optimization of gridindependent hybrid photovoltaic/wind power generation system. Energy, 2011, 36(2): 1214–1222

    Google Scholar 

  34. Chong W T, Naghavi M S, Poh S C, Mahlia T M I, Pan K C. Techno-economic analysis of a wind–solar hybrid renewable energy system with rainwater collection feature for urban high-rise application. Applied Energy, 2011, 88(11): 4067–4077

    Google Scholar 

  35. Rajkumar R K, Ramachandaramurthy V K, Yong B L, Chia D B. Techno-economical optimization of hybrid PV/wind/battery system using Neuro-Fuzzy. Energy, 2011, 36(8): 5148–5153

    Google Scholar 

  36. Dufo-López R, Bernal-Agustín J L, Yusta-Loyo J M, Domínguez-Navarro J A, Ramírez-Rosado I J, Lujano J, Aso I. Multi-objective optimization minimizing cost and life cycle emissions of standalone PV-wind-diesel systems with batteries storage. Applied Energy, 2011, 88(11): 4033–4041

    Google Scholar 

  37. Tudu B, Majumder S, Mandal K K, Chakraborty N. Optimal unit sizing of stand-alone renewable hybrid energy system using bees algorithm. In: International Conference on Energy, Automation, and Signal, Bhubaneswar, Odisha, India, 2011

    Google Scholar 

  38. Dagdougui H, Minciardi R, Ouammi A, Robba M, Sacile R. Modeling and optimization of a hybrid system for the energy supply of a “Green” building. Energy Conversion and Management, 2012, 4: 351–363

    Google Scholar 

  39. Asrari A, Ghasemi A, Javidi M H. Economic evaluation of hybrid renewable energy systems for rural electrification in Iran—a case study. Renewable & Sustainable Energy Reviews, 2012, 6(5): 3123–3130

    Google Scholar 

  40. Geem Z W. Size optimization for a hybrid photovoltaic–wind energy system. International Journal of Electrical Power & Energy Systems, 2012, 2(1): 448–451

    Google Scholar 

  41. Hafez O, Bhattacharya K. Optimal planning and design of a renewable energy based supply system for microgrids. Renewable Energy, 2012, 5: 7–15

    Google Scholar 

  42. Bekele G, Tadesse G. Feasibility study of small Hydro/PV/Wind hybrid system for off-grid rural electrification in Ethiopia. Applied Energy, 2012, 97: 5–15

    Google Scholar 

  43. Rehman S, Alam M M, Meyer J P, Al-Hadhrami L M. Feasibility study of a wind–PV–diesel hybrid power system for a village. Renewable Energy, 2012, 8(1): 258–268

    Google Scholar 

  44. Carapellucci R, Giordano L. Modeling and optimization of an energy generation island based on renewable technologies and hydrogen storage systems. International Journal of Hydrogen Energy, 2012, 7(3): 2081–2093

    Google Scholar 

  45. Sureshkumar U, Manoharan P S, Ramalakshmi A P S. Economic cost analysis of hybrid renewable energy system using HOMER. In: International Conference on Advances in Engineering, Science and Management, Nagapattinam, Tamil Nadu, India, 2012

    Google Scholar 

  46. Nasiraghdam H, Jadid S. Optimal hybrid PV/WT/FC sizing and distribution system reconfiguration using multi-objective artificial bee colony (MOABC) algorithm. Solar Energy, 2012, 86(10): 3057–3071

    Google Scholar 

  47. Perera A T D, Attalage R A, Perera K K C K, Dassanayake V P C. A hybrid tool to combine multi-objective optimization and multicriterion decision making in designing standalone hybrid energy systems. Applied Energy, 2013, 107: 412–425

    Google Scholar 

  48. Merei G, Berger C, Sauer D U. Optimization of an off-grid hybrid PV–Wind–Diesel system with different battery technologies using genetic algorithm. Solar Energy, 2013, 97: 460–473

    Google Scholar 

  49. Menshsari A, Ghiamy M, Mousavi M M M, Bagal H A. Optimal design of hybrid water-wind-solar system based on hydrogen storage and evaluation of reliability index of system using ant colony algorithm. International Research Journal of Applied and Basic Sciences, 2013, 4(11): 3582–3600

    Google Scholar 

  50. Ranaboldo M, Ferrer-Martí L, García-Villoria A, Moreno R P. Heuristic indicators for the design of community off-grid electrification systems based on multiple renewable energies. Energy, 2013, 50: 501–512

    Google Scholar 

  51. Amer M, Namaane A, M’Sirdi N K. Optimization of hybrid renewable energy systems (HRES) using PSO for cost reduction. Energy Procedia, 2013, 42: 318–327

    Google Scholar 

  52. Castañeda M, Cano A, Jurado F, Sánchez H, Fernández L M. Sizing optimization, dynamic modeling and energy management strategies of a stand-alone PV/hydrogen/battery-based hybrid system. International Journal of Hydrogen Energy, 2013, 38(10): 3830–3845

    Google Scholar 

  53. Askarzadeh A. A discrete chaotic harmony search-based simulated annealing algorithm for optimum design of PV/wind hybrid system. Solar Energy, 2013, 97: 93–101

    Google Scholar 

  54. Kumar R, Gupta R A, Bansal A K. Economic analysis and power management of a stand-alone wind/photovoltaic hybrid energy system using biogeography based optimization algorithm. Swarm and Evolutionary Computation, 2013, 8: 33–43

    Google Scholar 

  55. Bhandari B, Lee K T, Lee C S, Song C K, Maskey R K, Ahn S H. A novel off-grid hybrid power system comprised of solar photovoltaic, wind, and hydro energy sources. Applied Energy, 2014, 133: 236–242

    Google Scholar 

  56. Rozali N E M, Alwi S R W, Manan Z A, Klemeš J J, Hassan M Y. Optimal sizing of hybrid power systems using power pinch analysis. Journal of Cleaner Production, 2014, 71: 158–167

    Google Scholar 

  57. Abbes D, Martinez A, Champenois G. Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems. Mathematics and Computers in Simulation, 2014, 98: 46–62

    MathSciNet  Google Scholar 

  58. Ismail M S, Moghavvemi M, Mahlia T M I. Genetic algorithm based optimization on modeling and design of hybrid renewable energy systems. Energy Conversion and Management, 2014, 85: 120–130

    Google Scholar 

  59. Ma T, Yang H, Lu L. A feasibility study of a stand-alone hybrid solar–wind–battery system for a remote island. Applied Energy, 2014, 121: 149–158

    Google Scholar 

  60. Kusakana K, Vermaak H J. Hybrid diesel generator/renewable energy system performance modeling. Renewable Energy, 2014, 67: 97–102

    Google Scholar 

  61. Rohani G, Nour M. Techno-economic analysis of stand-alone hybrid renewable power system for RasMusherib in United Arab Emirates. Energy, 2014, 64: 828–841

    Google Scholar 

  62. Sigarchian S G, Malmquist A, Fransson T. Modeling and control strategy of a hybrid PV/Wind/Engine/Battery system to provide electricity and drinkable water for remote applications. Energy Procedia, 2014, 57: 1401–1410

    Google Scholar 

  63. Belmili H, Haddadi M, Bacha S, Almi M F, Bendib B. Sizing stand-alone photovoltaic-wind hybrid system: techno-economic analysis and optimization. Renewable & Sustainable Energy Reviews, 2014, 30: 821–832

    Google Scholar 

  64. Maleki A, Askarzadeh A. Artificial bee swarm optimization for optimum sizing of a stand-alone PV/WT/FC hybrid system considering LPSP concept. Solar Energy, 2014, 107: 227–235

    Google Scholar 

  65. Berrazouane S, Mohammedi K. Parameter optimization via cuckoo optimization algorithm of fuzzy controller for energy management of a hybrid power system. Energy Conversion and Management, 2014, 78: 652–660

    Google Scholar 

  66. Arabali A, Ghofrani M, Etezadi-Amoli M, Fadali M S. Stochastic performance assessment and sizing for a hybrid power system of solar/wind/energy storage. IEEE Transactions on Sustainable Energy, 2014, 5(2): 363–371

    Google Scholar 

  67. Kalinci Y, Hepbasli A, Dincer I. Techno-economic analysis of a stand-alone hybrid renewable energy system with hydrogen production and storage options. International Journal of Hydrogen Energy, 2015, 40(24): 7652–7664

    Google Scholar 

  68. Chang K H, Lin G. Optimal design of hybrid renewable energy systems using simulation optimization. Simulation Modelling Practice and Theory, 2015, 52: 40–51

    Google Scholar 

  69. Shi Z, Wang R, Zhang T. Multi-objective optimal design of hybrid renewable energy systems using preference-inspired co-evolutionary approach. Solar Energy, 2015, 118: 96–106

    Google Scholar 

  70. Malheiro A, Castro P M, Lima R M, Estanqueiro A. Integrated sizing and scheduling of wind/PV/diesel/battery isolated systems. Renewable Energy, 2015, 83: 646–657

    Google Scholar 

  71. Baghdadi F, Mohammedi K, Diaf S, Behar O. Feasibility study and energy conversion analysis of stand-alone hybrid renewable energy system. Energy Conversion and Management, 2015, 105: 471–479

    Google Scholar 

  72. Wang X, Palazoglu A, El-Farra N H. Operational optimization and demand response of hybrid renewable energy systems. Applied Energy, 2015, 143: 324–335

    Google Scholar 

  73. Ma T, Yang H, Lu L, Peng J. Optimal design of an autonomous solar–wind-pumped storage power supply system. Applied Energy, 2015, 160: 728–736

    Google Scholar 

  74. Upadhyay S, Sharma M P. Development of hybrid energy system with cycle charging strategy using particle swarm optimization for a remote area in India. Renewable Energy, 2015, 77: 586–598

    Google Scholar 

  75. Mukhtaruddin R N S R, Rahman H A, Hassan M Y, Jamian J J. Optimal hybrid renewable energy design in autonomous system using Iterative-Pareto-Fuzzy technique. International Journal of Electrical Power & Energy Systems, 2015, 64: 242–249

    Google Scholar 

  76. González A, Riba J R, Rius A, Puig R. Optimal sizing of a hybrid grid-connected photovoltaic and wind power system. Applied Energy, 2015, 154: 752–762

    Google Scholar 

  77. Sharafi M, ElMekkawy T Y. Stochastic optimization of hybrid renewable energy systems using sampling average method. Renewable & Sustainable Energy Reviews, 2015, 52: 1668–1679

    Google Scholar 

  78. Fetanat A, Khorasaninejad E. Size optimization for hybrid photovoltaic–wind energy system using ant colony optimization for continuous domains based integer programming. Applied Soft Computing, 2015, 31: 196–209

    Google Scholar 

  79. Maleki A, Pourfayaz F, Rosen M A. A novel framework for optimal design of hybrid renewable energy-based autonomous energy systems: a case study for Namin, Iran. Energy, 2016, 98: 168–180

    Google Scholar 

  80. Hosseinalizadeh R, Shakouri G H, Amalnick M S, Taghipour P. Economic sizing of a hybrid (PV–WT–FC) renewable energy system (HRES) for stand-alone usages by an optimizationsimulation model: case study of Iran. Renewable & Sustainable Energy Reviews, 2016, 54: 139–150

    Google Scholar 

  81. Chauhan A, Saini R P. Techno-economic optimization based approach for energy management of a stand-alone integrated renewable energy system for remote areas of India. Energy, 2016, 94: 138–156

    Google Scholar 

  82. Rahman M M, Khan M M U H, Ullah M A, Zhang X, Kumar A. A hybrid renewable energy system for a North American off-grid community. Energy, 2016, 97: 151–160

    Google Scholar 

  83. Sanajaoba S, Fernandez E. Maiden application of Cuckoo Search algorithm for optimal sizing of a remote hybrid renewable energy system. Renewable Energy, 2016, 96: 1–10

    Google Scholar 

  84. Eltamaly A M, Mohamed M A, Alolah A I. A novel smart grid theory for optimal sizing of hybrid renewable energy systems. Solar Energy, 2016, 124: 26–38

    Google Scholar 

  85. Athari M H, Ardehali M M. Operational performance of energy storage as function of electricity prices for on-grid hybrid renewable energy system by optimized fuzzy logic controller. Renewable Energy, 2016, 85: 890–902

    Google Scholar 

  86. Srivastava R, Giri V K. Optimization of hybrid renewable resources using HOMER. International Journal of Renewable Energy Research, 2016, 6(1): 157–163

    Google Scholar 

  87. Azaza M, Wallin F. Multi objective particle swarm optimization of hybrid micro-grid system: a case study in Sweden. Energy, 2017, 123: 108–118

    Google Scholar 

  88. Bordin C, Anuta H O, Crossland A, Gutierrez I L, Dent C J, Vigo D. A linear programming approach for battery degradation analysis and optimization in offgrid power systems with solar energy integration. Renewable Energy, 2017, 101: 417–430

    Google Scholar 

  89. Chen H, Yang C, Deng K, Zhou N, Wu H. Multi-objective optimization of the hybrid wind/solar/fuel cell distributed generation system using Hammersley Sequence Sampling. International Journal of Hydrogen Energy, 2017, 42(12): 7836–7846

    Google Scholar 

  90. Ani V A. Optimal operational strategy for PV/wind-diesel hybrid power generation system with energy storage. In: Renewable and Alternative Energy: Concepts, Methodologies, Tools, and Applications, 2017, 1438–1460

    Google Scholar 

  91. Al-Sharafi A, Sahin A Z, Ayar T, Yilbas B S. Techno-economic analysis and optimization of solar and wind energy systems for power generation and hydrogen production in Saudi Arabia. Renewable & Sustainable Energy Reviews, 2017, 69: 33–49

    Google Scholar 

  92. Wang X, El-Farra N H, Palazoglu A. Optimal scheduling of demand responsive industrial production with hybrid renewable energy systems. Renewable Energy, 2017, 100: 53–64

    Google Scholar 

  93. Cordiner S, Mulone V, Giordani A, Savinob M, Tomarchiob G, Malkowc T, Tsotridisc G, Pilengac A, Karlsend M L, Jensene J. Fuel cell based hybrid renewable energy systems for off-grid telecom stations: data analysis from on field demonstration tests. Applied Energy, 2017, 192: 508–518

    Google Scholar 

  94. Aktas A, Erhan K, Ozdemir S, Ozdemir E. Experimental investigation of a new smart energy management algorithm for a hybrid energy storage system in smart grid applications. Electric Power Systems Research, 2017, 144: 185–196

    Google Scholar 

  95. Georgilakis P S, Hatziargyriou N D. Optimal distributed generation placement in power distribution networks: models, methods, and future research. IEEE Transactions on Power Systems, 2013, 28(3): 3420–3428

    Google Scholar 

  96. Ataei A, Biglari M, Nedaei M, Assareh E, Choi J K, Yoo C, Adaramola MS. Techno-economic feasibility study of autonomous hybrid wind and solar power systems for rural areas in Iran, a case study in Moheydar village. Environmental Progress & Sustainable Energy, 2015, 34(5): 1521–1527

    Google Scholar 

  97. Luna-Rubio R, Trejo-Perea M, Vargas-Vázquez D, Ríos-Moreno G J. Optimal sizing of renewable hybrids energy systems: a review of methodologies. Solar Energy, 2012, 86(4): 1077–1088

    Google Scholar 

  98. Yang H X, Lu L, Burnett J. Weather data and probability analysis of hybrid photovoltaic–wind power generation systems in Hong Kong. Renewable Energy, 2003, 28(11): 1813–1824

    Google Scholar 

  99. Celik A N. Techno-economic analysis of autonomous PV-wind hybrid energy systems using different sizing methods. Energy Conversion and Management, 2003, 44(12): 1951–1968

    Google Scholar 

  100. Tina G, Gagliano S. Probabilistic analysis of weather data for a hybrid solar/wind energy system. International Journal of Energy Research, 2011, 35(3): 221–232

    Google Scholar 

  101. Hontoria L, Aguilera J, Zufiria P. A new approach for sizing standalone photovoltaic systems based in neural networks. Solar Energy, 2005, 78(2): 313–319

    Google Scholar 

  102. Mellit A, Benghanem M, Arab A H, Guessoum A. A simplified model for generating sequences of global solar radiation data for isolated sites: using artificial neural network and a library of Markov transition matrices approach. Solar Energy, 2005, 79(5): 469–482

    Google Scholar 

  103. Koutroulis E, Kolokotsa D, Potirakis A, Kalaitzakis K. Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms. Solar Energy, 2006, 80(9): 1072–1088

    Google Scholar 

  104. Mellit A, Benghanem M, Kalogirou S A. Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: proposition for a new sizing procedure. Renewable Energy, 2007, 32(2): 285–313

    Google Scholar 

  105. Yang H, Lu L, Zhou W. A novel optimization sizing model for hybrid solar-wind power generation system. Solar Energy, 2007, 81(1): 76–84

    Google Scholar 

  106. Mondol J D, Yohanis Y G, Norton B. Optimising the economic viability of grid-connected photovoltaic systems. Applied Energy, 2009, 86(7–8): 985–999

    Google Scholar 

  107. Kaldellis J K, Zafirakis D, Kondili E. Optimum autonomous standalone photovoltaic system design on the basis of energy pay-back analysis. Energy, 2009, 34(9): 1187–1198

    Google Scholar 

  108. Khatod D K, Pant V, Sharma J. Analytical approach for well-being assessment of small autonomous power systems with solar and wind energy sources. IEEE Transactions on Energy Conversion, 2010, 25(2): 535–545

    Google Scholar 

  109. Bajpai P, Dash V. Hybrid renewable energy systems for power generation in stand-alone applications: a review. Renewable & Sustainable Energy Reviews, 2012, 16(5): 2926–2939

    Google Scholar 

  110. Mitchell M. Introduction to Genetic Algorithms. London: MIT press, 1998

    MATH  Google Scholar 

  111. Kennedy J. Particle swarm optimization. Encyclopedia of machine learning, 2011: 760–766

    Google Scholar 

  112. Geem Z W. Harmony search in water pump switching problem. In: Wang L, Chen K, Ong Y S, eds. Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science. Berlin: Springer Heidelberg, 2005: 751–760

  113. Sinha S, Chandel S S. Review of software tools for hybrid renewable energy systems. Renewable & Sustainable Energy Reviews, 2014, 32: 192–205

    Google Scholar 

  114. Warwick K, Ekwue A, Aggarwal R. Artificial intelligence techniques in power systems. IET, 1997

    Google Scholar 

  115. Copeland T E, Weston J F. Financial Theory and Corporate policy. Reading: Addison Wesley, 1988

    Google Scholar 

  116. Khan M Y. Theory & Problems in Financial Management. Boston: McGraw Hill Higher Education, 1993

    Google Scholar 

  117. Yoon Y, Geem Z W. Parameter optimization of single-diode model of photovoltaic cell using memetic algorithm. International Journal of Photoenergy, 2015: 963562

    Google Scholar 

  118. Yuvarajan S, Shoeb J. A fast and accurate maximum power point tracker for PV systems. In: 23rd Annual IEEE Applied Power Electronics Conference and Exposition, Austin, TX, USA, 2008, 67–72

    Google Scholar 

  119. Yusof Y, Sayuti S H, Abdul Latif M, Wanik M Z C. Modeling and simulation of maximum power point tracker for photovoltaic system. In: Proceedings of National Power and Energy Conference, Kuala Lumpur, Malaysia, 2004, 8–93

    Google Scholar 

  120. Piegari L, Rizzo R. Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking. IET Renewable Power Generation, 2010, 4(4): 317–328

    Google Scholar 

  121. Sera D, Teodorescu R, Hantschel J, Knoll M. Optimized maximum power point tracker for fast changing environmental conditions. IEEE Transactions on Industrial Electronics, 2008, 55(7): 2629–2637

    Google Scholar 

  122. Nedaei M, Assareh E, Biglari M. An extensive evaluation of wind resource using new methods and strategies for development and utilizing wind power in Mah-shahr station in Iran. Energy Conversion and Management, 2014, 81: 475–503

    Google Scholar 

  123. Nájera J, Moreno-Torres P, Lafoz M, de Castro R M, Arribas J R. Approach to hybrid energy storage systems dimensioning for urban electric buses regarding efficiency and battery aging. Energies, 2017, 10(11): 1708

    Google Scholar 

  124. Geem Z W, Yoon Y. Harmony search optimization of renewable energy charging with energy storage system. International Journal of Electrical Power & Energy Systems, 2017, 86: 120–126

    Google Scholar 

  125. Zhou T, Francois B. Modeling and control design of hydrogen production process for an active hydrogen/wind hybrid power system. International Journal of Hydrogen Energy, 2009, 34(1): 21–30

    Google Scholar 

  126. Spyker R L, Nelms R M. Analysis of double-layer capacitors supplying constant power loads. IEEE Transactions on Aerospace and Electronic Systems, 2000, 36(4): 1439–1443

    Google Scholar 

  127. Ashari M, Nayar C V. An optimum dispatch strategy using set points for a photovoltaic (PV)-diesel-battery hybrid power system. Solar Energy, 1999, 66(1): 1–9

    Google Scholar 

  128. Ganesan V. Internal Combustion Engines, 3rd ed. Tata McGraw Hill Education, 2008

    Google Scholar 

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Faccio, M., Gamberi, M., Bortolini, M. et al. State-of-art review of the optimization methods to design the configuration of hybrid renewable energy systems (HRESs). Front. Energy 12, 591–622 (2018). https://doi.org/10.1007/s11708-018-0567-x

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  • DOI: https://doi.org/10.1007/s11708-018-0567-x

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