Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30135
Optimal Design and Intelligent Management of Hybrid Power System

Authors: Reza Sedaghati


Given the increasing energy demand in the world as well as limited fossil energy fuel resources, it is necessary to use renewable energy resources more than ever. Developing a hybrid energy system is suggested to overcome the intermittence of renewable energy resources such as sun and wind, in which the excess electrical energy can be converted and stored. While these resources store the energy, they can provide a more reliable system that is really suitable for off-grid applications. In hybrid systems, a methodology for optimal sizing of power generation systems components is of great importance in terms of economic aspects and efficiency. In this study, a hybrid energy system is designed to supply an off-grid sample load pattern with the aim of supplying necessary energy and minimizing the total production cost throughout the system life as well as increasing the reliability. For this purpose, the optimal size and the cost function of these resources is determined and minimized using evolutionary algorithms and system efficiency is studied with real-time load and meteorological information of Kazerun, a city in southern Iran under different conditions.

Keywords: Hybrid energy system, intelligent method, optimal size, minimal.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1028


[1] W. Libo, Z. Zhengming, L. Jianzheng, W. Jian, “Implementation of a Stand-alone Photovoltaic Lighting System with Maximum Power Point Tracking and High Pressure Sodium Lamp,” The Fifth Internal Conference, Power Electronics and Drive Systems. Volume 2, Pg. 1570-1573. November 2003.
[2] V. Salas, M. Manzanas, A. Lazaro, A. Barrado, E. Olias, “The Control Strategies for Photovoltaic Regulators Applied to Stand-alone Systems,” Industrial Electronics Society, IEEE. Volume 4, Pg. 3274-3279. November 2002.
[3] CIEMAT, “Volumetric receivers in Solar Thermal Power Plants with Central Receiver System technology: A review”, Solar Energy, 2011.
[4] I. Hischier, D. Hess, W. Lipinski, M. Modest and A. Steinfeld, “Heat Transfer Analysis of a Novel Pressurized Air Reciver Concentrated Solar Power via Combined Cycles”, ASME, 2009.
[5] R. Perez, R. Margolisa, M. Kmiecik, M. Schwab, and M. Perez, “Update: Effective load-carrying capability of photovoltaics in the united states preprint,” in Solar 2006 Conference, Golden Colorado, USA, Jul.8–13, pp. 1–6, 2006.
[6] H. Asano and S. Bando, “Load fluctuation analysis of commercial and residential customers for operation planning of a hybrid photovoltaic and cogeneration system,” in Power Engineering Society General Meeting, 2006. IEEE, Los Alamitos, CA, pp. 1–6, 2006.
[7] P. Denholm and R. Margolis, “Very large-scale deployment of grid-connected solar photovoltaics in the United States: Challenges and opportunities preprint,” in Solar 2006 Conference, Golden Colorado, USA, Jul.8–13, pp. 1–5, 2006.
[8] S. Yuyao and S.Y. Choe, “A high dynamic PEM fuel cell model with temperature effects,” Journal of Power Sources, 145:30–39, 2005.
[9] R. Barrera, S. De Biase, S. Ginocchio, S. Bedogni and L. Montelatici, “Performance and life time test on a 5 kW SOFC system for distributed cogeneration,” Int J Hydrogen Energy;33(12): 3193-3196, 2008.
[10] K.K. Bhatia and C. Wang, “Transient carbon monoxide poisoning of a polymer electrolyte fuel cell operating on diluted hydrogen feed,” Electrochim Acta; 49(14): 2333-2342, 2004.
[11] C. Wang, M. Hashem Nehrir, “Power Management of Stand-Alone Wind/Photovoltaic/Fuel Cell Energy System,” IEEE Transactions on Energy Conversion, Vol. 23, September 2008.
[12] E. Dursun, O. Kilic, “Comparative Evaluation of Different Power Management Strategies of a Stand-Alone PV/Wind/PEMFC Hybrid Power System,” International Journal of Electrical Power& Energy Systems, 34, 1, 81−89, 2012.
[13] C. Wang, “Power Management of a Stand-Alone Wind/Photovoltaic/ Fuel Cell Energy System,” IEEE Transactions on Energy Conversion, 957-967, 2008.
[14] Renewable Energy Power Supply Systems and Equipment Technical Committee EL-042. Stand-alone power systems Part 1: Safety and installation.
[15] S. Khanniche. Power Electronics for Renewable Energy Systems, 2006.
[16] H. Dehbonei, C. V. Nayar, and L. Chang, “A new modular hybrid power system,” in IEEE International Symposium on Industrial Electronics, 2003. ISIE '03. 2003, 2003, pp. 985-990 vol. 2.
[17] B. Wichert, “Control of photovoltaic-diesel hybrid energy systems,” PhD, Dept. Elect. & Comp. Eng., Curtin University of Technology, Perth, 2000.
[18] C. V. Nayar, “High Renewable Energy Penetration Diesel Generator Systems,” Electrical India. 10. June 2010.
[19] A. L. Rogers, “Variable speed diesel power generation design issues,” Dept. Mech. & Ind. Eng., UMass, Amherst, 1996.
[20] Bokris, J.O.M., and S. Srinivasan, Fuel Cells: Their Electrochemistry,” McGraw-Hill, New York, 2000.
[21] F. Bonanno, A. Consoli, A. Raciti, B. Morgana, and U. Nocera, “Transient Analysis of Integrated Diesel/Wind/Photovoltaic Generation Systems,” IEEE Trans. on Energy Conversion, Vol. 14, No. 2, 1999.
[22] S. Diaf, D. Diaf, M. Belhamel, M. Haddadi, and A. Louche, “A methodology for optimal sizing of autonomous hybrid PV/wind system,” International Journal of Energy Policy, Vol. 35, pp. 5708-5718, 2007.
[23] R.S. Garcia, and D. Weisser, “A wind/diesel system with hydrogen storage: Joint optimization of design and dispatch”, Proc. of IEEE Int. Conf. on Renewable Energy, Vol. 31, pp. 2296-2320, 2006.
[24] E. Koutroulis, D. Kolokotsa, A. Potirakis, and K. Kalaitzakis, “Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms,” Solar Energy, vol. 80, no. 9, pp. 1072–1088, Sep. 2006.
[25] A. Konak, D. W. Coit, and A. E. Smith, “Multi-objective optimization using genetic algorithms: A tutorial,” Reliability Engineering & System Safety, vol. 91, no. 9, pp. 992–1007, Sep. 2006.
[26] H. Yang, W. Zhou, L. Lu, and Z. Fang, “Optimal sizing method for stand-alone hybrid solar-wind system with lpsp technology by using genetic algorithm,” Solar Energy, vol. 82, no. 4, pp. 354–367, Apr. 2008.
[27] J. P. Vazhayil and R. Balasubramanian, “Optimization of indias electricity generation portfolio using intelligent pareto-search genetic algorithm,” International Journal of Electrical Power & Energy Systems, vol. 55, pp. 13–20, Feb. 2014.
[28] K. Deb, “An efficient constraint handling method for genetic algorithms,” Computer Methods in Applied Mechanics and Engineering, vol. 186, no. 2, pp. 311–338, Jun. 2000.
[29] Y. A. Katsigiannis, P. S. Georgilakis, and E. S. Karapidakis, “Genetic algorithm solution to optimal sizing problem of small autonomous hybrid power systems,” in Artificial Intelligence: Theories, Models and Applications. Springer, 2010, pp. 327–332.
[30] T. Senjyu, D. Hayashi, N. Urasaki, and T. Funabashi, “Optimum configuration for renewable generating systems in residence using genetic algorithm,” IEEE Trans. on Energy Conversion, vol. 21, no. 2, pp. 459–466, Jun. 2006.
[31] B.C. Kush, H.H. Goh and H.G Chua, “Optimal Power Tracker for Stand-Alone Photovolatic System using Artificial Neural Network (ANN) and Particle Swarm Optimisation (PSO)” Renewable Energy and Power Quality Journal (RE & PQJ), No.10, April 2012, RE-PQJ-10, 2012.
[32] J. Kennedy, “Minds and cultures: Particle swarm implication,” in Socially Intelligent Agents: Papers from the 2001 Fall Symposium, Menlo Park, CA., pp. 67-72, 2001.
[33] H. Fan and Y. Shi, “Study on Vmax of particle swarm optimization,” in Proceedings of IEEE Swarm Intelligence Symposium (SIS-2001)., Indianapolis, Indiana, USA., 2003, pp. 193-197.
[34] M. L Vjare and T. Krink, Extending particle swarms with self-organized critically,” in Proceedings of Fourth Congress on Evolutionary Computation (CEC-2002), vol. 2, New York, NY, USA., 2002, pp. 1588-1593.
[35] R. L. Haupt and S. E. Haupt, “Practical Genetic Algorithms,” 2nd ed. Wiley IEEE, 2004.
[36] X. Xie, W. Zhang, and Z. Yang, “Adaptive particle swarm optimization on individual level,” in Proceedings of 6th International Conference on Signal Processing (ICSP-2002), vol. 2, Beijing, China, pp. 1215-1218, 2003.