Efficient Modeling, Control and Optimization of Hybrid Renewable-Conventional Energy Systems

Yıl 2013, Cilt: 3 Sayı: 4, 781 - 788, 01.12.2013

Ahmed Abdallh Bart Heyrman Luc Dupré

Öz

In this paper, a generic and an efficient model for hybrid renewable-conventional electrical energy systems is presented. This simulation model is successfully validated by means of HOMER. Moreover, two control strategies for electrical power dispatch are described. Furthermore, an optimization problem is formulated and solved, using Genetic algorithm technique, for optimizing the size of system components where the overall cost of the system is minimized. Four case studies are investigated. The results show a dependence of the size of the system components on the meteorological characteristics of the area under consideration, which validate the proposed methodology.

Anahtar Kelimeler

Hybrid energy systems, renewable sources, simulation modeling, optimization problem

Kaynakça

• R. Baños, F. Manazano-Agugliaro, F. Montoya, C. Gil, A. Alcayde, and J. Gmez, “Optimization methods applied to renewable and sustainable energy: A review,” Renewable and Sustainable Energy Reviews, vol. 15, pp. –1766, 2011.
• O. Erdinc and M. Uzunoglu, “Optimum design of hybrid renewable energy systems: Overview of different approaches,” Renewable and Sustainable Energy Reviews, vol. 16, pp. 1412–1425, 2012.
• K. Solangi, M. Islam, R. Saidur, N. Rahim, and H. Fayaz, “A review on global solar energy policy,” Renewable and Sustainable Energy Reviews, vol. 15, pp. 2149-2163,
• G. Timilsina, L. Kurdgelashvili, and P. Narbel, “Solar energy: Markets, economics and policies,” Renewable and Sustainable Energy Reviews, vol. 16, pp. 449-465, R. Saidur, M. Islam, N. Rahim, and K. Solangi, “A review on global wind energy policy,” Renewable and Sustainable Energy Reviews, vol. 14, pp. 1744-1762,
• P. Michalack and J. Zimny, “Wind energy development in the world, Europe and Poland from 1995 to 2009; current status and future perspectives,” Renewable and Sustainable Energy Reviews, vol. 15, pp. 2330-2341,
• A. Khelif, A. Talha, M. Belhamel, and A. Arab, “Feasibility study of hybrid diesel-PV power plants in the southern of Algeria: Case study on AFRA power plant,” Electrical Power and Energy Systems, vol. 43, pp. 546– , 2012.
• W. Kellogg, M. Nehrir, G. Venkataramanan, and V. Gerez, “Generation unit sizing and cost analysis for stand–alone wind, photovoltaic, and hybrid wind/PV systems,” IEEE Transactions on Energy Conversion, vol. , pp. 70-75, 1998.
• A. Gupta, R. Saini, and M. Sharma, “Modelling of hybrid energy system part I: Problem formulation and model development,” Renewable Energy, vol. 36, pp. 459–465, J. Manwell, “Hybrid energy systems," University of Massachusetts, Technical Report, 2004.
• T. Khatib, A. Mohamed, K. Sopian, and M. Mahmoud, “Optimal sizing of building integrated hybrid PV/diesel generator system for zero load refection for Malaysia,” Energy and Buildings, vol. 43, pp. 3430-3435, 2011.
• Z. Geem, “Size optimization for a hybrid photovoltaic- wind energy system,” Electrical Power and Energy Systems, vol. 42, pp. 448-451, 2012.
• M. Glavin and W. Hurley, “Optimization of a photovoltaic battery ultra capacitor hybrid energy storage system,” Solar Energy, vol. 86, pp. 3009-3020,
• J. Duffie and W. Beckman, Solar engineering of thermal processes, John Wiley & Sons, Inc., second edition, 1991.
• R. Carapellucci and L. Giordano, “A methodology for the synthetic generation of hourly wind speed time series based on some known aggregate input data,” Applied Energy, vol. 101, pp. 541–550, 2012.
• V. Thapar, G. Agnihotri, and V. Sethi, “Critical analysis of methods for mathematical modelling of wind turbines,” Renewable Energy, vol. 36, pp. 3166–3177,
• J. Holland, “Adaptation in natural and artificial systems," Cambridge: MIT Press, Technical Report, W. Calixto, L. Neto, M. Wu, H. Kliemann, S.Castro, and K. Yamanaka, “Calculation of soil electrical conductivity using a genetic algorithm,” Computers and Electronics in Agriculture, vol. 71, pp. 1- , 2010.
• J. Huang, Y. Bo, and H. Wang, “Electromechanical equipment state forecasting based on genetic algorithm - support vector regression,” Expert Systems with Applications, vol. 38, pp. 8399-8402, 2011.
• G. Corriveau, R. Guilbault, and A. Tahan, “Genetic algorithm and finite element coupling for mechanical optimization,” Advances in Engineering Software, vol. , pp. 422-426, 2010.
• A. Bensghaier, L. Romdhane, and F. Benouezdou, “Multi-objective optimization to predict muscle tension in a pinch function using genetic algorithm,” Comptes Rendus Mécanique, vol. 340, pp. 139-155, 2012.
• J. Bernal-Augustin and R. Dufo-Lopez, “Efficient design of hybrid renewable energy systems using evolutionary algorithms,” Energy Conversion and Management, vol. 50, pp. 479–489, 2009.
• T. Burton, N. Jenkins, D. Sharpe, and E. Bossanyi, “Wind Energy Handbook,” Second edition, John Wiley & Sons, Ltd., 2011.