IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v48y2015icp585-607.html
   My bibliography  Save this article

Applications of fuzzy logic in renewable energy systems – A review

Author

Listed:
  • Suganthi, L.
  • Iniyan, S.
  • Samuel, Anand A.

Abstract

In recent years, with the advent of globalization, the world is witnessing a steep rise in its energy consumption. The world is transforming itself into an industrial and knowledge society from an agricultural one which in turn makes the growth, energy intensive resulting in emissions. Energy modeling and energy planning is vital for the future economic prosperity and environmental security. Soft computing techniques such as fuzzy logic, neural networks, genetic algorithms are being adopted in energy modeling to precisely map the energy systems. In this paper, an attempt has been made to review the applications of fuzzy logic based models in renewable energy systems namely solar, wind, bio-energy, micro-grid and hybrid applications. It is found that fuzzy based models are extensively used in recent years for site assessment, for installing of photovoltaic/wind farms, power point tracking in solar photovoltaic/wind, optimization among conflicting criteria. The review indicates that fuzzy based models provide realistic estimates.

Suggested Citation

  • Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
    • Handle: RePEc:eee:rensus:v:48:y:2015:i:c:p:585-607
    DOI: 10.1016/j.rser.2015.04.037
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S136403211500307X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2015.04.037?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Salhi, Issam & Doubabi, Saïd & Essounbouli, Najib & Hamzaoui, Abdelaziz, 2010. "Application of multi-model control with fuzzy switching to a micro hydro-electrical power plant," Renewable Energy, Elsevier, vol. 35(9), pages 2071-2079.
    2. Veena, P. & Indragandhi, V. & Jeyabharath, R. & Subramaniyaswamy, V., 2014. "Review of grid integration schemes for renewable power generation system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 628-641.
    3. Groscurth, H.-M. & Kress, K.-P., 1998. "Fuzzy data compression for energy optimization models," Energy, Elsevier, vol. 23(1), pages 1-9.
    4. Pichan, Mohammad & Rastegar, Hasan & Monfared, Mohammad, 2013. "Two fuzzy-based direct power control strategies for doubly-fed induction generators in wind energy conversion systems," Energy, Elsevier, vol. 51(C), pages 154-162.
    5. Wu, Yunna & Geng, Shuai & Zhang, Haobo & Gao, Min, 2014. "Decision framework of solar thermal power plant site selection based on linguistic Choquet operator," Applied Energy, Elsevier, vol. 136(C), pages 303-311.
    6. Liu, Shih-Yuan & Perng, Yeng-Horng & Ho, Yu-Feng, 2013. "The effect of renewable energy application on Taiwan buildings: What are the challenges and strategies for solar energy exploitation?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 92-106.
    7. Cai, Y.P. & Huang, G.H. & Tan, Q. & Yang, Z.F., 2009. "Planning of community-scale renewable energy management systems in a mixed stochastic and fuzzy environment," Renewable Energy, Elsevier, vol. 34(7), pages 1833-1847.
    8. Senjyu, Tomonobu & Kaneko, Toshiaki & Uehara, Akie & Yona, Atsushi & Sekine, Hideomi & Kim, Chul-Hwan, 2009. "Output power control for large wind power penetration in small power system," Renewable Energy, Elsevier, vol. 34(11), pages 2334-2343.
    9. Kisi, Ozgur, 2014. "Modeling solar radiation of Mediterranean region in Turkey by using fuzzy genetic approach," Energy, Elsevier, vol. 64(C), pages 429-436.
    10. Monfared, Mohammad & Rastegar, Hasan & Kojabadi, Hossein Madadi, 2009. "A new strategy for wind speed forecasting using artificial intelligent methods," Renewable Energy, Elsevier, vol. 34(3), pages 845-848.
    11. Ishaque, Kashif & Salam, Zainal, 2013. "A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 475-488.
    12. Li, G.C. & Huang, G.H. & Sun, W. & Ding, X.W., 2014. "An inexact optimization model for energy-environment systems management in the mixed fuzzy, dual-interval and stochastic environment," Renewable Energy, Elsevier, vol. 64(C), pages 153-163.
    13. Chen, Hsing Hung & Kang, He-Yau & Lee, Amy H.I., 2010. "Strategic selection of suitable projects for hybrid solar-wind power generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 413-421, January.
    14. Azizipanah-Abarghooee, Rasoul & Niknam, Taher & Roosta, Alireza & Malekpour, Ahmad Reza & Zare, Mohsen, 2012. "Probabilistic multiobjective wind-thermal economic emission dispatch based on point estimated method," Energy, Elsevier, vol. 37(1), pages 322-335.
    15. Mamlook, Rustom & Akash, Bilal A & Mohsen, Mousa S, 2001. "A neuro-fuzzy program approach for evaluating electric power generation systems," Energy, Elsevier, vol. 26(6), pages 619-632.
    16. Kaminaris, S.D. & Tsoutsos, T.D. & Agoris, D. & Machias, A.V., 2006. "Assessing renewables-to-electricity systems: a fuzzy expert system model," Energy Policy, Elsevier, vol. 34(12), pages 1357-1366, August.
    17. Charabi, Yassine & Gastli, Adel, 2011. "PV site suitability analysis using GIS-based spatial fuzzy multi-criteria evaluation," Renewable Energy, Elsevier, vol. 36(9), pages 2554-2561.
    18. Acosta-Michlik, Lilibeth & Lucht, Wolfgang & Bondeau, Alberte & Beringer, Tim, 2011. "Integrated assessment of sustainability trade-offs and pathways for global bioenergy production: Framing a novel hybrid approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2791-2809, August.
    19. Roy, Sukanta & Saha, Ujjwal K., 2013. "Review on the numerical investigations into the design and development of Savonius wind rotors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 73-83.
    20. Rajkumar, R.K. & Ramachandaramurthy, V.K. & Yong, B.L. & Chia, D.B., 2011. "Techno-economical optimization of hybrid pv/wind/battery system using Neuro-Fuzzy," Energy, Elsevier, vol. 36(8), pages 5148-5153.
    21. Ben Salah, Chokri & Chaabene, Maher & Ben Ammar, Mohsen, 2008. "Multi-criteria fuzzy algorithm for energy management of a domestic photovoltaic panel," Renewable Energy, Elsevier, vol. 33(5), pages 993-1001.
    22. Mellit, Adel & Kalogirou, Soteris A., 2014. "MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives," Energy, Elsevier, vol. 70(C), pages 1-21.
    23. Yılmaz Balaman, Şebnem & Selim, Hasan, 2014. "A fuzzy multiobjective linear programming model for design and management of anaerobic digestion based bioenergy supply chains," Energy, Elsevier, vol. 74(C), pages 928-940.
    24. Narayana, M. & Putrus, G.A. & Jovanovic, M. & Leung, P.S. & McDonald, S., 2012. "Generic maximum power point tracking controller for small-scale wind turbines," Renewable Energy, Elsevier, vol. 44(C), pages 72-79.
    25. Sallem, Souhir & Chaabene, Maher & Kamoun, M.B.A., 2009. "Energy management algorithm for an optimum control of a photovoltaic water pumping system," Applied Energy, Elsevier, vol. 86(12), pages 2671-2680, December.
    26. Sarrias-Mena, Raúl & Fernández-Ramírez, Luis M. & García-Vázquez, Carlos Andrés & Jurado, Francisco, 2014. "Fuzzy logic based power management strategy of a multi-MW doubly-fed induction generator wind turbine with battery and ultracapacitor," Energy, Elsevier, vol. 70(C), pages 561-576.
    27. Kaya, Tolga & Kahraman, Cengiz, 2010. "Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul," Energy, Elsevier, vol. 35(6), pages 2517-2527.
    28. Hong, Ying-Yi & Chang, Huei-Lin & Chiu, Ching-Sheng, 2010. "Hour-ahead wind power and speed forecasting using simultaneous perturbation stochastic approximation (SPSA) algorithm and neural network with fuzzy inputs," Energy, Elsevier, vol. 35(9), pages 3870-3876.
    29. Hong, Ying-Yi & Lin, Jie-Kai, 2013. "Interactive multi-objective active power scheduling considering uncertain renewable energies using adaptive chaos clonal evolutionary programming," Energy, Elsevier, vol. 53(C), pages 212-220.
    30. Azadeh, A. & Sheikhalishahi, M. & Asadzadeh, S.M., 2011. "A flexible neural network-fuzzy data envelopment analysis approach for location optimization of solar plants with uncertainty and complexity," Renewable Energy, Elsevier, vol. 36(12), pages 3394-3401.
    31. Zhao, Zhen-Yu & Zhu, Jiang & Zuo, Jian, 2014. "Sustainable development of the wind power industry in a complex environment: a flexibility study," Energy Policy, Elsevier, vol. 75(C), pages 392-397.
    32. Moghaddam, Amjad Anvari & Seifi, Alireza & Niknam, Taher & Alizadeh Pahlavani, Mohammad Reza, 2011. "Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source," Energy, Elsevier, vol. 36(11), pages 6490-6507.
    33. Djatkov, Djordje & Effenberger, Mathias & Lehner, Andreas & Martinov, Milan & Tesic, Milos & Gronauer, Andreas, 2012. "New method for assessing the performance of agricultural biogas plants," Renewable Energy, Elsevier, vol. 40(1), pages 104-112.
    34. Tan, Raymond R. & Aviso, Kathleen B. & Barilea, Ivan U. & Culaba, Alvin B. & Cruz, Jose B., 2012. "A fuzzy multi-regional input–output optimization model for biomass production and trade under resource and footprint constraints," Applied Energy, Elsevier, vol. 90(1), pages 154-160.
    35. Mohandes, M. & Rehman, S. & Rahman, S.M., 2011. "Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)," Applied Energy, Elsevier, vol. 88(11), pages 4024-4032.
    36. Belmokhtar, K. & Doumbia, M.L. & Agbossou, K., 2014. "Novel fuzzy logic based sensorless maximum power point tracking strategy for wind turbine systems driven DFIG (doubly-fed induction generator)," Energy, Elsevier, vol. 76(C), pages 679-693.
    37. El-Tamaly, Hassan Hussein & Mohammed, Adel A. Elbaset, 2006. "Impact of interconnection photovoltaic/wind system with utility on their reliability using a fuzzy scheme," Renewable Energy, Elsevier, vol. 31(15), pages 2475-2491.
    38. Jaber, J.O. & Jaber, Q.M. & Sawalha, S.A. & Mohsen, M.S., 2008. "Evaluation of conventional and renewable energy sources for space heating in the household sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(1), pages 278-289, January.
    39. Chen, S.X. & Gooi, H.B. & Wang, M.Q., 2013. "Solar radiation forecast based on fuzzy logic and neural networks," Renewable Energy, Elsevier, vol. 60(C), pages 195-201.
    40. Bououden, S. & Chadli, M. & Filali, S. & El Hajjaji, A., 2012. "Fuzzy model based multivariable predictive control of a variable speed wind turbine: LMI approach," Renewable Energy, Elsevier, vol. 37(1), pages 434-439.
    41. Wang, Jianzhou & Xiong, Shenghua, 2014. "A hybrid forecasting model based on outlier detection and fuzzy time series – A case study on Hainan wind farm of China," Energy, Elsevier, vol. 76(C), pages 526-541.
    42. Kahraman, Cengiz & Kaya, İhsan & Cebi, Selcuk, 2009. "A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process," Energy, Elsevier, vol. 34(10), pages 1603-1616.
    43. Jafarian, M. & Ranjbar, A.M., 2010. "Fuzzy modeling techniques and artificial neural networks to estimate annual energy output of a wind turbine," Renewable Energy, Elsevier, vol. 35(9), pages 2008-2014.
    44. Aydin, Nazli Yonca & Kentel, Elcin & Duzgun, Sebnem, 2010. "GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 364-373, January.
    45. Mellit, A. & Kalogirou, S.A. & Shaari, S. & Salhi, H. & Hadj Arab, A., 2008. "Methodology for predicting sequences of mean monthly clearness index and daily solar radiation data in remote areas: Application for sizing a stand-alone PV system," Renewable Energy, Elsevier, vol. 33(7), pages 1570-1590.
    46. Velusami, S. & Singaravelu, S., 2007. "Steady state modeling and fuzzy logic based analysis of wind driven single phase induction generators," Renewable Energy, Elsevier, vol. 32(14), pages 2386-2406.
    47. Sa-ngawong, Nattapol & Ngamroo, Issarachai, 2015. "Intelligent photovoltaic farms for robust frequency stabilization in multi-area interconnected power system based on PSO-based optimal Sugeno fuzzy logic control," Renewable Energy, Elsevier, vol. 74(C), pages 555-567.
    48. Niknam, Taher & Fard, Abdollah Kavousi & Seifi, Alireza, 2012. "Distribution feeder reconfiguration considering fuel cell/wind/photovoltaic power plants," Renewable Energy, Elsevier, vol. 37(1), pages 213-225.
    49. Malekpour, Ahmad Reza & Tabatabaei, Sajad & Niknam, Taher, 2012. "Probabilistic approach to multi-objective Volt/Var control of distribution system considering hybrid fuel cell and wind energy sources using Improved Shuffled Frog Leaping Algorithm," Renewable Energy, Elsevier, vol. 39(1), pages 228-240.
    50. Deraz, S.A. & Abdel Kader, F.E., 2013. "A new control strategy for a stand-alone self-excited induction generator driven by a variable speed wind turbine," Renewable Energy, Elsevier, vol. 51(C), pages 263-273.
    51. Haque, Ashraf U. & Mandal, Paras & Kaye, Mary E. & Meng, Julian & Chang, Liuchen & Senjyu, Tomonobu, 2012. "A new strategy for predicting short-term wind speed using soft computing models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4563-4573.
    52. Skikos, G.D. & Machias, A.V., 1992. "FEC : A fuzzy based economic criterion for the evaluation of wind power investments," Renewable Energy, Elsevier, vol. 2(2), pages 103-110.
    53. Cai, Y.P. & Huang, G.H. & Tan, Q. & Yang, Z.F., 2011. "An integrated approach for climate-change impact analysis and adaptation planning under multi-level uncertainties. Part I: Methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2779-2790, August.
    54. Kamal, E. & Aitouche, A., 2013. "Robust fault tolerant control of DFIG wind energy systems with unknown inputs," Renewable Energy, Elsevier, vol. 56(C), pages 2-15.
    55. Machias, A.V. & Skikos, G.D., 1991. "A fuzzy-based risk analysis of wind locations," Renewable Energy, Elsevier, vol. 1(5), pages 649-654.
    56. Kyriakarakos, George & Patlitzianas, Konstantinos & Damasiotis, Markos & Papastefanakis, Dimitrios, 2014. "A fuzzy cognitive maps decision support system for renewables local planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 209-222.
    57. Liu, Hui & Tian, Hong-qi & Pan, Di-fu & Li, Yan-fei, 2013. "Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks," Applied Energy, Elsevier, vol. 107(C), pages 191-208.
    58. Zeng, Ziqiang & Nasri, Ehsan & Chini, Abdol & Ries, Robert & Xu, Jiuping, 2015. "A multiple objective decision making model for energy generation portfolio under fuzzy uncertainty: Case study of large scale investor-owned utilities in Florida," Renewable Energy, Elsevier, vol. 75(C), pages 224-242.
    59. Chaabene, Maher & Ben Ammar, Mohsen, 2008. "Neuro-fuzzy dynamic model with Kalman filter to forecast irradiance and temperature for solar energy systems," Renewable Energy, Elsevier, vol. 33(7), pages 1435-1443.
    60. Bigdeli, Nooshin, 2015. "Optimal management of hybrid PV/fuel cell/battery power system: A comparison of optimal hybrid approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 377-393.
    61. Kasiri, H. & Abadeh, M. Saniee & Momeni, H.R., 2012. "Optimal estimation and control of WECS via a Genetic Neuro Fuzzy Approach," Energy, Elsevier, vol. 40(1), pages 438-444.
    62. Zhai, Pei & Williams, Eric D., 2012. "Analyzing consumer acceptance of photovoltaics (PV) using fuzzy logic model," Renewable Energy, Elsevier, vol. 41(C), pages 350-357.
    63. Zarzalejo, Luis F. & Ramirez, Lourdes & Polo, Jesus, 2005. "Artificial intelligence techniques applied to hourly global irradiance estimation from satellite-derived cloud index," Energy, Elsevier, vol. 30(9), pages 1685-1697.
    64. Chaabene, Maher & Ammar, Mohsen Ben & Elhajjaji, Ahmed, 2007. "Fuzzy approach for optimal energy-management of a domestic photovoltaic panel," Applied Energy, Elsevier, vol. 84(10), pages 992-1001, October.
    65. Lygouras, J.N. & Botsaris, P.N. & Vourvoulakis, J. & Kodogiannis, V., 2007. "Fuzzy logic controller implementation for a solar air-conditioning system," Applied Energy, Elsevier, vol. 84(12), pages 1305-1318, December.
    66. Zare, Mohsen & Niknam, Taher, 2013. "A new multi-objective for environmental and economic management of Volt/Var Control considering renewable energy resources," Energy, Elsevier, vol. 55(C), pages 236-252.
    67. Luk, P.C.K. & Low, K.C. & Sayiah, A., 1999. "GA-based fuzzy logic control of a solar power plant using distributed collector fields," Renewable Energy, Elsevier, vol. 16(1), pages 765-768.
    68. Lee, Amy H.I. & Chen, Hsing Hung & Kang, He-Yau, 2011. "A model to analyze strategic products for photovoltaic silicon thin-film solar cell power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1271-1283, February.
    69. Mohamed, Amal Z. & Eskander, Mona N. & Ghali, Fadia A., 2001. "Fuzzy logic control based maximum power tracking of a wind energy system," Renewable Energy, Elsevier, vol. 23(2), pages 235-245.
    70. Osório, G.J. & Matias, J.C.O. & Catalão, J.P.S., 2015. "Short-term wind power forecasting using adaptive neuro-fuzzy inference system combined with evolutionary particle swarm optimization, wavelet transform and mutual information," Renewable Energy, Elsevier, vol. 75(C), pages 301-307.
    71. Soroudi, Alireza & Ehsan, Mehdi, 2011. "A possibilistic-probabilistic tool for evaluating the impact of stochastic renewable and controllable power generation on energy losses in distribution networks--A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 794-800, January.
    72. Mellit, Adel & Kalogirou, Soteris A., 2011. "ANFIS-based modelling for photovoltaic power supply system: A case study," Renewable Energy, Elsevier, vol. 36(1), pages 250-258.
    73. Azadeh, Ali & Rahimi-Golkhandan, Armin & Moghaddam, Mohsen, 2014. "Location optimization of wind power generation–transmission systems under uncertainty using hierarchical fuzzy DEA: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 877-885.
    74. Yeh, Tsu-Ming & Huang, Yu-Lang, 2014. "Factors in determining wind farm location: Integrating GQM, fuzzy DEMATEL, and ANP," Renewable Energy, Elsevier, vol. 66(C), pages 159-169.
    75. Dounis, A. I. & Lefas, C. C. & Argiriou, A., 1995. "Knowledge-based versus classical control for solar-building designs," Applied Energy, Elsevier, vol. 50(4), pages 281-292.
    76. Niknam, Taher & Taheri, Seyed Iman & Aghaei, Jamshid & Tabatabaei, Sajad & Nayeripour, Majid, 2011. "A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources," Applied Energy, Elsevier, vol. 88(12), pages 4817-4830.
    77. Bitar, Sandro D.B. & da Costa Junior, Carlos T. & Barreiros, José A.L. & Neto, João C. do L., 2009. "Expansion of isolated electrical systems in the Amazon: An approach using fuzzy multi-objective mathematical programming," Energy Policy, Elsevier, vol. 37(10), pages 3899-3905, October.
    78. Kalantar, M. & Mousavi G., S.M., 2010. "Dynamic behavior of a stand-alone hybrid power generation system of wind turbine, microturbine, solar array and battery storage," Applied Energy, Elsevier, vol. 87(10), pages 3051-3064, October.
    79. Kamel, Rashad M. & Chaouachi, Aymen & Nagasaka, Ken, 2010. "Wind power smoothing using fuzzy logic pitch controller and energy capacitor system for improvement Micro-Grid performance in islanding mode," Energy, Elsevier, vol. 35(5), pages 2119-2129.
    80. Jurado, Francisco & Saenz, José R, 2002. "Neuro-fuzzy control for autonomous wind–diesel systems using biomass," Renewable Energy, Elsevier, vol. 27(1), pages 39-56.
    81. Cavallaro, Fausto, 2010. "Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems," Applied Energy, Elsevier, vol. 87(2), pages 496-503, February.
    82. Sözen, Adnan & Kurt, Mustafa & Akçayol, M.Ali & Özalp, Mehmet, 2004. "Performance prediction of a solar driven ejector-absorption cycle using fuzzy logic," Renewable Energy, Elsevier, vol. 29(1), pages 53-71.
    83. Altas, I.H. & Sharaf, A.M., 2008. "A novel maximum power fuzzy logic controller for photovoltaic solar energy systems," Renewable Energy, Elsevier, vol. 33(3), pages 388-399.
    84. Cai, Y.P. & Huang, G.H. & Tan, Q. & Liu, L., 2011. "An integrated approach for climate-change impact analysis and adaptation planning under multi-level uncertainties. Part II. Case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3051-3073, August.
    85. Cai, Y.P. & Huang, G.H. & Yang, Z.F. & Tan, Q., 2009. "Identification of optimal strategies for energy management systems planning under multiple uncertainties," Applied Energy, Elsevier, vol. 86(4), pages 480-495, April.
    86. Mohamed Thameem Ansari, M. & Velusami, S., 2010. "DMLHFLC (Dual mode linguistic hedge fuzzy logic controller) for an isolated wind–diesel hybrid power system with BES (battery energy storage) unit," Energy, Elsevier, vol. 35(9), pages 3827-3837.
    87. Bahmani-Firouzi, Bahman & Farjah, Ebrahim & Azizipanah-Abarghooee, Rasoul, 2013. "An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties," Energy, Elsevier, vol. 50(C), pages 232-244.
    88. Lin, Whei-Min & Hong, Chih-Ming & Cheng, Fu-Sheng, 2010. "Fuzzy neural network output maximization control for sensorless wind energy conversion system," Energy, Elsevier, vol. 35(2), pages 592-601.
    89. Rizwan, M. & Jamil, Majid & Kirmani, Sheeraz & Kothari, D.P., 2014. "Fuzzy logic based modeling and estimation of global solar energy using meteorological parameters," Energy, Elsevier, vol. 70(C), pages 685-691.
    90. Chowdhury, M.A. & Hosseinzadeh, N. & Shen, W.X., 2012. "Smoothing wind power fluctuations by fuzzy logic pitch angle controller," Renewable Energy, Elsevier, vol. 38(1), pages 224-233.
    91. Moran, J.C. & Miguez, J.L. & Porteiro, J. & Patiño, D. & Granada, E. & Collazo, J., 2009. "Study of the feasibility of mixing Refuse Derived Fuels with wood pellets through the grey and Fuzzy theory," Renewable Energy, Elsevier, vol. 34(12), pages 2607-2612.
    92. Syafaruddin, & Karatepe, Engin & Hiyama, Takashi, 2009. "Polar coordinated fuzzy controller based real-time maximum-power point control of photovoltaic system," Renewable Energy, Elsevier, vol. 34(12), pages 2597-2606.
    93. Chen, Diyi & Liu, Si & Ma, Xiaoyi, 2013. "Modeling, nonlinear dynamical analysis of a novel power system with random wind power and it's control," Energy, Elsevier, vol. 53(C), pages 139-146.
    94. Larbes, C. & Aït Cheikh, S.M. & Obeidi, T. & Zerguerras, A., 2009. "Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system," Renewable Energy, Elsevier, vol. 34(10), pages 2093-2100.
    95. Heo, Eunnyeong & Kim, Jinsoo & Boo, Kyung-Jin, 2010. "Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2214-2220, October.
    96. Charabi, Yassine & Gastli, Adel, 2013. "Integration of temperature and dust effects in siting large PV power plant in hot arid area," Renewable Energy, Elsevier, vol. 57(C), pages 635-644.
    97. Izadbakhsh, Maziar & Gandomkar, Majid & Rezvani, Alireza & Ahmadi, Abdollah, 2015. "Short-term resource scheduling of a renewable energy based micro grid," Renewable Energy, Elsevier, vol. 75(C), pages 598-606.
    98. De Giorgi, Maria Grazia & Ficarella, Antonio & Tarantino, Marco, 2011. "Error analysis of short term wind power prediction models," Applied Energy, Elsevier, vol. 88(4), pages 1298-1311, April.
    99. Vahidinasab, Vahid, 2014. "Optimal distributed energy resources planning in a competitive electricity market: Multiobjective optimization and probabilistic design," Renewable Energy, Elsevier, vol. 66(C), pages 354-363.
    100. Ammar, Mohsen Ben & Chaabene, Maher & Elhajjaji, Ahmed, 2010. "Daily energy planning of a household photovoltaic panel," Applied Energy, Elsevier, vol. 87(7), pages 2340-2351, July.
    101. Petković, Dalibor & Ćojbašič, Žarko & Nikolić, Vlastimir, 2013. "Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 191-195.
    102. Lygouras, J.N. & Kodogiannis, V.S. & Pachidis, Th. & Tarchanidis, K.N. & Koukourlis, C.S., 2008. "Variable structure TITO fuzzy-logic controller implementation for a solar air-conditioning system," Applied Energy, Elsevier, vol. 85(4), pages 190-203, April.
    103. Sfetsos, A., 2000. "A comparison of various forecasting techniques applied to mean hourly wind speed time series," Renewable Energy, Elsevier, vol. 21(1), pages 23-35.
    104. Punitha, K. & Devaraj, D. & Sakthivel, S., 2013. "Artificial neural network based modified incremental conductance algorithm for maximum power point tracking in photovoltaic system under partial shading conditions," Energy, Elsevier, vol. 62(C), pages 330-340.
    105. Datta, Manoj & Senjyu, Tomonobu & Yona, Atsushi & Funabashi, Toshihisa, 2011. "A fuzzy based method for leveling output power fluctuations of photovoltaic-diesel hybrid power system," Renewable Energy, Elsevier, vol. 36(6), pages 1693-1703.
    106. Moghaddam, Amjad Anvari & Seifi, Alireza & Niknam, Taher, 2012. "Multi-operation management of a typical micro-grids using Particle Swarm Optimization: A comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1268-1281.
    107. Eltawil, Mohamed A. & Zhao, Zhengming, 2013. "MPPT techniques for photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 793-813.
    108. Petković, Dalibor & Ćojbašić, Žarko & Nikolić, Vlastimir & Shamshirband, Shahaboddin & Mat Kiah, Miss Laiha & Anuar, Nor Badrul & Abdul Wahab, Ainuddin Wahid, 2014. "Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission," Energy, Elsevier, vol. 64(C), pages 868-874.
    109. Yang, Zhiling & Liu, Yongqian & Li, Chengrong, 2011. "Interpolation of missing wind data based on ANFIS," Renewable Energy, Elsevier, vol. 36(3), pages 993-998.
    110. Şengül, Ümran & Eren, Miraç & Eslamian Shiraz, Seyedhadi & Gezder, Volkan & Şengül, Ahmet Bilal, 2015. "Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey," Renewable Energy, Elsevier, vol. 75(C), pages 617-625.
    111. Dounis, Anastasios I. & Kofinas, Panagiotis & Alafodimos, Constantine & Tseles, Dimitrios, 2013. "Adaptive fuzzy gain scheduling PID controller for maximum power point tracking of photovoltaic system," Renewable Energy, Elsevier, vol. 60(C), pages 202-214.
    112. Perera, A.T.D. & Attalage, R.A. & Perera, K.K.C.K. & Dassanayake, V.P.C., 2013. "A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems," Applied Energy, Elsevier, vol. 107(C), pages 412-425.
    113. Duong, Minh Quan & Grimaccia, Francesco & Leva, Sonia & Mussetta, Marco & Ogliari, Emanuele, 2014. "Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system," Renewable Energy, Elsevier, vol. 70(C), pages 197-203.
    114. Kaneko, Toshiaki & Uehara, Akie & Senjyu, Tomonobu & Yona, Atsushi & Urasaki, Naomitsu, 2011. "An integrated control method for a wind farm to reduce frequency deviations in a small power system," Applied Energy, Elsevier, vol. 88(4), pages 1049-1058, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    2. Strantzali, Eleni & Aravossis, Konstantinos, 2016. "Decision making in renewable energy investments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 885-898.
    3. Abbas Mardani & Ahmad Jusoh & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Zainab Khalifah, 2015. "Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches," Sustainability, MDPI, vol. 7(10), pages 1-38, October.
    4. Howlader, Abdul Motin & Izumi, Yuya & Uehara, Akie & Urasaki, Naomitsu & Senjyu, Tomonobu & Yona, Atsushi & Saber, Ahmed Yousuf, 2012. "A minimal order observer based frequency control strategy for an integrated wind-battery-diesel power system," Energy, Elsevier, vol. 46(1), pages 168-178.
    5. Mellit, Adel & Kalogirou, Soteris A., 2014. "MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives," Energy, Elsevier, vol. 70(C), pages 1-21.
    6. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea," Energies, MDPI, vol. 10(12), pages 1-22, December.
    7. Ata, Rasit, 2015. "Artificial neural networks applications in wind energy systems: a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 534-562.
    8. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.
    9. Firozjaei, Mohammad Karimi & Nematollahi, Omid & Mijani, Naeim & Shorabeh, Saman Nadizadeh & Firozjaei, Hamzeh Karimi & Toomanian, Ara, 2019. "An integrated GIS-based Ordered Weighted Averaging analysis for solar energy evaluation in Iran: Current conditions and future planning," Renewable Energy, Elsevier, vol. 136(C), pages 1130-1146.
    10. Shao, Meng & Han, Zhixin & Sun, Jinwei & Xiao, Chengsi & Zhang, Shulei & Zhao, Yuanxu, 2020. "A review of multi-criteria decision making applications for renewable energy site selection," Renewable Energy, Elsevier, vol. 157(C), pages 377-403.
    11. Iqbal, M. & Azam, M. & Naeem, M. & Khwaja, A.S. & Anpalagan, A., 2014. "Optimization classification, algorithms and tools for renewable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 640-654.
    12. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    13. Ramli, Makbul A.M. & Twaha, Ssennoga & Ishaque, Kashif & Al-Turki, Yusuf A., 2017. "A review on maximum power point tracking for photovoltaic systems with and without shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 144-159.
    14. Niknam, Taher & Azizipanah-Abarghooee, Rasoul & Narimani, Mohammad Rasoul, 2012. "An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation," Applied Energy, Elsevier, vol. 99(C), pages 455-470.
    15. Wu, Yunna & Xu, Chuanbo & Zhang, Ting, 2018. "Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China," Energy, Elsevier, vol. 147(C), pages 1227-1239.
    16. Chun-Liang Liu & Jing-Hsiao Chen & Yi-Hua Liu & Zong-Zhen Yang, 2014. "An Asymmetrical Fuzzy-Logic-Control-Based MPPT Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 7(4), pages 1-17, April.
    17. Li, Xiao-Ya & Dong, Xin-Yu & Chen, Sha & Ye, Yan-Mei, 2024. "The promising future of developing large-scale PV solar farms in China: A three-stage framework for site selection," Renewable Energy, Elsevier, vol. 220(C).
    18. Rajesh, R. & Carolin Mabel, M., 2015. "A comprehensive review of photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 231-248.
    19. Zendehboudi, Sohrab & Rezaei, Nima & Lohi, Ali, 2018. "Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review," Applied Energy, Elsevier, vol. 228(C), pages 2539-2566.
    20. Kermadi, Mostefa & Berkouk, El Madjid, 2017. "Artificial intelligence-based maximum power point tracking controllers for Photovoltaic systems: Comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 369-386.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:48:y:2015:i:c:p:585-607. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.