Abstract
Limited fuel reserves and harmful effects of environmental pollution have brought about a lot of development in renewable energy sources. Among these renewable energy sources, solar and wind are found to be the most viable energy sources in the world. Due to their uncertainties in supply and the non-linear characteristics of some of their components, the system becomes unreliable. But when applied as hybrid system, these sources are found to be more economical and efficient. In optimizing the sizing of such hybrid system parameters the evolutionary algorithms have been proved to give faster and more efficient results as compared to classical methods. This work concentrates in finding an optimal configuration of PV modules, Wind turbines and Battery numbers by minimizing the annualized cost considering the loss of power supply probability using Particle Swarm Optimization technique. The radiation and wind data of India obtained from the NASA meteorological website are considered for analysis.
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References
Yang, H.X., Lu, L., Burnett, J.: Weather Data and Probability Analysis of Hybrid Photovoltaic-Wind Power Generation Systems in Hong Kong. Renewable Energy 28, 1813–1824 (2003)
Van Dyk, E.E., et al.: Long-Term Monitoring of Photovoltaic Devices. Renewable Energy 22, 183–197 (2002)
Duffie, J.A., Beckman, W.A.: Solar Engineering of Thermal Process. John Wiley & Sons, USA (1980)
Luis, C., Sivestre, S.: Modeling Photovoltaic Systems Using PSpice. John Wiley & Sons Ltd., Chichester (2002)
Gipe, P.: Wind Energy Comes of Age, p. 536. John Wiley & Sons (1995)
Berndt, D.: Maintenance-Free Batteries. John Wiley & Sons, England (1994)
Ashari, M., Nayar, C.V.: An Optimum Dispatch Strategy Using Set Points for A Photovoltaic (PV)–Diesel–Battery Hybrid Power System. Solar Energy 66(1), 1–9 (1999)
Kellogg, W., Nehrir, M.H., Venkataramanan, G., Gerez, V.: Optimal Unit Sizing for A Hybrid PV/Wind Generating System. Electric Power System Research 39, 35–38 (1996)
Gavanidou, E.S., Bakirtzis, A.G.: Design of A Stand Alone System With Renewable Energy Sources Using Trade Off Methods. IEEE Transactions on Energy Conversion 7(1), 42–48 (1993)
Yang Lu, L., Burnett, J.H.X.: Investigation on Wind Power Potential on Hong Kong Islands-An Analysis of Wind Power and Wind Turbine Characteristics. Renewable Energy 27, 1–12 (2002)
Borowy, B. S., Salameh, Z.M.: Methodology for Optimally Sizing The Combination of A Battery Bank and PV Array in A Wind/PV Hybrid System. IEEE Transactions Energy Conversion 11(2), 367–373 (1996)
Yang, H.X., Lu, L., Zhou, W.: A Novel Optimization Sizing Model for Hybrid Solar– Wind Power Generation System. Solar Energy 81(1), 76–84 (2007)
Zhou, W., Yang, H.X., Fang, Z.H.: A Novel Model for Photovoltaic Array Performance Prediction. Applied Energy 84, 1187–1198 (2007)
Kattakayam, T.A., Srinivasan, K.: Lead Acid Batteries in Solar Refrigeration Systems. Renewable Energy 29(8), 1243–1250 (2004)
Eftichios, K., et al.: Methodology for Optimal Sizing of Stand-Alone Photovoltaic/Wind-Generator Systems Using Genetic Algorithms. Solar Energy 80, 1072–1188 (2006)
Guasch, D., Silvestre, S.: Dynamic Battery Model for Photovoltaic Applications. Progress in Photovol-taics: Research and Applications 11, 193–206 (2003)
Markvart, T.: Sizing of Hybrid PV-Wind Energy Systems. Solar Energy 59(4), 277–281 (1996)
Schott, T.: Operational Temperatures of PV Modules. In: 6th PV Solar Energy Conference, pp. 392–396 (1985)
Tina, G., Gagliano, S., Raiti, S.: Hybrid Solar/Wind Power System Probabilistic Modelling for Long-Term Performance Assessment. Solar Energy 80, 578–588
Yang, H.X., Lu, L.: Study on Typical Meteorological Years and Their Effect on Building Energy and Re-newable Energy Simulations. ASHRAE Transactions 110(2), 424–431 (2004)
Abouzahr, I., Ramakumar, R.: Loss of Power Supply Probability of Stand-Alone Electric Conversion Systems: A Closed Form Solution Approach. IEEE Transactions on Energy Conversion 5, 445–452 (1990)
Borowy, B.S., Salameh, Z.M.: Optimum Photovoltaic Array Size for A Hybrid Wind/PV System. IEEE Transactions on Energy Conversion 9, 482–488 (1994)
Lu, L., Yang, H.X., Burnett, J.: Investigation on Wind Power Potential on Hong Kong Islands – An Analysis of Wind Power and Wind Turbine Characteristics. Renewable Energy 27, 1–12 (2002)
Yoon-Ho, K., Hoi-Doo, H.: Design of Interface Circuits with Electrical Battery Models. IEEE Transactions on Industrial Electronics (1997)
Ould Bilal, B., Sammbou, V., Ndiaye, P.A., Kebe, 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 35, 2388–2390 (2010)
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Suchitra, D., Jegatheesan, R., Reddy, M.U., Deepika, T.J. (2013). Optimal Sizing for Stand-Alone Hybrid PV-WIND Power Supply System Using PSO. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8297. Springer, Cham. https://doi.org/10.1007/978-3-319-03753-0_55
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DOI: https://doi.org/10.1007/978-3-319-03753-0_55
Publisher Name: Springer, Cham
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