skip to main content

Optimum Sizing Algorithm for An Off Grid Plant Considering Renewable Potentials and Load Profile

Faculté des sciences de Gafsa, Compus universitaire sidi Ahmed zarroug, 2112 Gafsa, Tunisia University of Sfax, Tunisia

Published: 6 Nov 2017.
Editor(s): H Hadiyanto

Citation Format:
Abstract
The energy demand in remote area cannot be satisfied unless renewable energy based plants are locally installed. In order to be efficient, such projects should be sized on the basis of maximizing the renewable energies exploitation and meeting the consumer needs. The aim of this work is to provide an algorithm-based calculation of the optimum sizing of a standalone hybrid plant composed of a wind generator, a photovoltaic panel, a lead acid-battery bank, and a water tank. The strategy consists of evaluating the renewable potentials (solar and wind). Obtained results are entered as inputs to established generators models in order to estimate the renewable generations. The developed optimal sizing algorithm which is based on iterative approach, computes plant components sizes for which load profile meet estimated renewable generations. The approach validation is conducted for A PV/Wind/Battery based farm located in Sfax, Tunisia. Obtained results proved that the energetic need is covered and only about 4% of the generated energy is not used. Also a cost investigation confirmed that the plant becomes profitable ten years after installation.

Article History: Received June 24th 2017; Received in revised form September 26th 2017; Accepted Sept 30th 2017; Available online

Citation: Brahmi, N., Charfi, S., and Chaabene, M. (2017) Optimum Sizing Algorithm for an off grid plant considering renewable potentials and load profile. Int. Journal of Renewable Energy Development, 6(3), 213-224.

https://doi.org/10.14710/ijred.6.3.213-224
Fulltext View|Download
Keywords: Optimization, sizing algorithm; hybrid system; load profile; energy balance

Article Metrics:

  1. Arbaoui A. (2006), Aide à la décision pour la définition d’un système éolien: Adéquation au site et à un réseau faible, Doctorate thesis, Arts And Professions Superior National School, Bordeaux center16 (Engineer’smehanical professions);
  2. Bashir, M., and Sadeh, J. (2012), Optimal Sizing of Hybrid Wind/Photovoltaic/Battery Considering the Uncertainty of Wind and Photovoltaic Power Using Monte Carlo, IEEE, 978-1-4577-1829-8/12
  3. Belfkira, R., Zhang, L., Barakat, G, (2011), Optimal sizing study of hybrid wind/PV/diesel power generation unit, Sol. Energy 85, 100–110
  4. Belmilin, H, Haddadi, M, Bacha, S, Almi, B. Bendib, M. (2014) Sizing stand-alone photovoltaic–wind hybrid system: Techno-economic analysis and optimization. Renewable and Sustainable EnergyReviews,30, 821–832
  5. Brahmi, N, Chaabene, M . (2012), Sizing optimization of a wind pumping plant: Case study in Sfax, Tunisia, Journal of Renewable and Sustainable Energy 4, 013114, doi: 10.1063/1.3683530
  6. Cano, A, Jurado, F, Higinio Sánchez, L , Castañeda, M (2014),, optimal sizing of stand-alone hybrid systems based on pv/wt/fc by using several methodologies, Journal of the Energy Institute , Vol 87, Issue 4, pp 330–340
  7. Chowdhury, S.P, Chowdhury, S., Crossley, P.A. (2011). UK scenario of islanded operation of active distribution networks with renewable distributed generators, International Journal Electric Power Energy System; 33(7),1251–5
  8. Diaf, S., Diaf, D., Belhamel, M., Haddadi, M., and Louche, A. (2007), A methodology for optimal sizing of autonomous hybrid PV/wind system, Energy Policy, 35, 5708–5718
  9. Eftichios, K., Dionissia, K., Antonis, P., and Kostas, K.(2006). Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms. Solar Energy, 80(9), 1072-1088
  10. Ekren, B.Y. and Ekren, O., (2009), Simulation based size optimization of a PV/wind hybrid energy conversion system with battery storage under various load and auxiliary energy conditions, Applied Energy, 86, 1387–1394
  11. Friedl, W., Schmautzer, E., Sakulin, M., Braunstein, R. (2007). Electrical energy and power saving potentials in the area Of agriculture, DUE Conference
  12. Glasnovic Z, and Margeta, J. (2011). Vision of total renewable electricity scenario, Renewable and Sustainable Energy; 15(4),1873–84
  13. Gokcek, M., Bayulken, A., Bekdemir, S. ( 2007), Investigation of wind characteristics and wind energy potential in Kirklareli, Turkey. Renewable Energy, 32,1739e52
  14. Grimsmo, L.N., Korpaas, M and Gjengeda, T (2005), Probabilistic sizing of wind and hydrogen power systems for remote areas, 15th PSCC, pp. 22-26
  15. Gupta, S.C., Kumar, Y.Agnihotri, G. (2007) Optimal sizing of solar-wind hybrid system, Information and Communication Technology in Electrical Sciences (ICTES), 282 - 287
  16. Haykin, S. (1998), Neural networks: a comprehensive foundation» Prentice-Hall, New Jersey
  17. Kaldellis JK, (1999), Wind energy management.Athens: Stimulus, Publications
  18. Kaldellis, J.K. and Zafirakis, D. (2012), Optimum sizing of stand-alone wind-photovoltaic hybrid systems for representative wind and solar potential cases of the Greek territory, Journal of Wind Engineering and Industrial Aerodynamics. 107–108, 169–178, doi.org/10.1016
  19. Kazem, H.A., Khatib, T., Sopian, K, (2013), Sizing of a standalone photovoltaic/battery system at minimum cost for remote housing electrification in Sohar, Oman, Energy Buildings 61, 108–115
  20. Lin, W.M, Hong, C.M. (2010), Intelligent approach to maximum power point tracking control strategy for variable speed wind turbine generation system., Energy, 35(6),2440–2447
  21. Maleki, A, Askarzadeh, A eh, (2014), Artificial bee swarm optimization for optimum sizing of a stand-alone PV/WT/FC hybrid system considering LPSP concept, Solar Energy 107, 227–235
  22. Maleki, A, Askarzadeh, A, (1016), Optimal sizing of a PV/wind/diesel system with battery storage for electrification to an off-grid remote region: A case study of Rafsanjan, Iran, Journal of Sustainable Energy Technologies and Assessments
  23. Melício, R., Mendes, V.M.F, Catalão, J.P.S. (2011), Comparative study of power converter topologies and contr1ol strategies for the harmonic performance of variable speed wind turbine generator systems, Energy;
  24. Musgrove, A.R.D. (1988), The optimization of hybrid energy conversion system using the dynamic programming model – RAPSODY, Int. J Energy Res. 12, 447-45
  25. Park, M., and Yu, I.K., (2004), A Study on Optimal Voltage for MPPT Obtained by Surface Temperature of Solar Cell, Proc. IECON, pp. 2040-2045
  26. Seguro, J. V. and Lambert, T. W. (2000), Estimation of the Parameters of the Weibull Wind Speed Distribution for Wind Energy Analysis. Journal of Wind Engineering and Industrial Aerodynamic.85(1), 75-84
  27. Silva, S. B., (2011), Sizing and Optimization Photovoltaic, Fuel Cell, IEEE Latin America Transactions, 9(1), 83-88
  28. Slootweg, J.G, de Haan, S.W.H., Polinder, H., Kling, W.L. (2003), General model for representing variable speed-wind turbines in power system dynamics simulations. IEEE Trans Power Syst.,18(1),144–1451
  29. Tina, G., Gagliano, S., Raiti, S. (2006), Hybrid solar/wind power system probabilistic modeling for long-term performance assessment, Solar Energy, 80,578-88
  30. Yang, H.X., Zhou, W., Lu, L., Fang, Z.H. (2008), Optimal sizing method for stand-alone hybrid solar - wind system with LPSP technology by using genetic algorithm, Solar Energy, 82(4),354-6,
  31. Yang, L. and Xie, M. (2003). Efficient Estimation of the Weibull Shape Parameter Based on a Modified Profile Likelihood», Journal of Statistical Computation and Simulation, 73(2), 115-123
  32. Yang, L., Burnett, J. H.X., (2002), Investigation on wind power potential on Hong Kong islands-an analysis of wind power and wind turbine characteristics, Renewable Energy, 27, 1-12
  33. Zhou, W., Lou, C., Li, Z., Lu, L., Yang, H. (2010), Current status of research on optimum sizing of stand-alone hybrid solar - wind power generation systems, Applied Energy, 87(2),380-9

Last update:

  1. A New Approach for Optimal Sizing of a Grid Connected PV System Using PSO and GA Algorithms: Case of Tunisia

    Imene khenissi, Mohamed Amine Fakhfakh, Raida Sellami, Rafik Neji. Applied Artificial Intelligence, 35 (15), 2021. doi: 10.1080/08839514.2021.1995233
  2. Smart Energy Empowerment in Smart and Resilient Cities

    M. A. Hartani, M. Hamouda, O. Abdelkhalek, O. Hafsi, A. Chakar. Lecture Notes in Networks and Systems, 102 , 2020. doi: 10.1007/978-3-030-37207-1_55
  3. Assembly of quinone-based renewable biobattery using redox molecules from Lawsonia inermis

    Halima Ali, Immaculata O. Onuigbo, Tosin E. Fabunmi, Muhammed Yahaya, Madu Joshua, Bolade Agboola, Wan Jin Jahng. SN Applied Sciences, 1 (6), 2019. doi: 10.1007/s42452-019-0577-2

Last update: 2024-11-05 04:50:26

  1. Power Flow Analyses of a Standalone 5-Buses IEEE DC Microgrid for Arid Saharian Zone (South of Algeria)

    Hartani M.. Lecture Notes in Networks and Systems, 102 , 2020. doi: 10.1007/978-3-030-37207-1_55
  2. Static-Dynamic Analysis of an LVDC Smart Microgrid for a Saharian-Isolated Areas Using ETAP/MATLAB Software

    Hartani M.. Lecture Notes in Networks and Systems, 102 , 2020. doi: 10.1007/978-3-030-37207-1_53
  3. Management of MPPT technics and energy storage on renewable hybrid power systems

    Amine H.. EEA - Electrotehnica, Electronica, Automatica, 67 (3), 2019.
  4. Assembly of quinone-based renewable biobattery using redox molecules from Lawsonia inermis

    Halima Ali, Immaculata O. Onuigbo, Tosin E. Fabunmi, Muhammed Yahaya, Madu Joshua, Bolade Agboola, Wan Jin Jahng. SN Applied Sciences, 1 (6), 2019. doi: 10.1007/s42452-019-0577-2