Multi-Objective MPSO/GA Optimization of an Autonomous PV-Wind Hybrid Energy System


  • N. Rahmani Department of Electrical Engineering, Automatic Laboratory of Setif (LAS), Ferhat Abbas University Setif 1, Algeria
  • M. Mostefai Electrical Engineering Department, Ferhat Abbes Setif 1 University, Setif, Algeria
Volume: 12 | Issue: 4 | Pages: 8817-8824 | August 2022 |


This article presents a study of the energy efficiency and the optimal sizing of an autonomous hybrid energy system (PV-wind-battery) as a power source for a typical household in an isolated village in Adrar, Algeria using the multi-objective Particle Swarm Optimization (MPSO) algorithm and Genetic Algorithm (GA). This study presents a new approach to obtain an optimal configuration and sizing of the main components integrated into the autonomous hybrid system (PV/wind) which meets the requirements of the desired system. In the first phase, the reliability criterion (LPSP) is met with the lowest Energy Cost (EC) value (min Total Net Present Cost (TNPC)). The required storage bank must have a low rate of aging in order to extend the battery life, which contributes to the reduction of the overall cost of the system. Due to the inability to meet the needs demanded by random load profiles, we have incorporated a complementary approach to home insulation to significantly improve energy efficiency. In order to improve the thermal comfort of the house and reduce the energy consumed by air conditioning and heating, a thermal and energy study on this house has been evaluated using TRNSYS 18 simulation software for the overall thermal and energy behavior of a habitat and its environment in dynamic regime. The simulation results show that the thermal insulation of the walls reduces energy consumption by 13.39% in the case of heating and by 10% in the case of air conditioning. Assuming a 10% decrease in energy needs for heating and air conditioning, we observe its positive effect on optimizing the battery lifetime.


autonomous hybrid system, optimization and sizing (PV/wind), minimum energy cost, TRNSYS


Download data is not yet available.


H. Yang, Z. Wei, and L. Chengzhi, "Optimal design and techno-economic analysis of a hybrid solar–wind power generation system," Applied Energy, vol. 86, no. 2, pp. 163–169, Feb. 2009. DOI:

T. Khatib, A. Mohamed, K. Sopian, and M. Mahmoud, "An iterative method for designing high reliable standalone PV systems at minimum cost for Malaysia," in IEEE Symposium on Industrial Electronics and Applications, Langkawi, Malaysia, Sep. 2011, pp. 486–489. DOI:

K. Kusakana, H. J. Vermaak, and B. P. Numbi, "Optimal sizing of a hybrid renewable energy plant using linear programming," in IEEE Power and Energy Society Conference and Exposition in Africa: Intelligent Grid Integration of Renewable Energy Resources, Johannesburg, South Africa, Jul. 2012, pp. 1–5. DOI:

T. T. Khatib, A. Mohamed, and K. Sopian, "Optimization of a PV/wind micro-grid for rural housing electrification using a hybrid iterative/genetic algorithm: Case study of Kuala Terengganu, Malaysia," Energy and Buildings, vol. 47, pp. 321–331, Apr. 2012. DOI:

D. Abbes, A. Martinez, and G. Champenois, "Eco-design optimisation of an autonomous hybrid wind–photovoltaic system with battery storage," IET Renewable Power Generation, vol. 6, no. 5, pp. 358–371, Sep. 2012. DOI:

M. S. Ismail, M. Moghavvemi, and T. M. I. Mahlia, "Techno-economic analysis of an optimized photovoltaic and diesel generator hybrid power system for remote houses in a tropical climate," Energy Conversion and Management, vol. 69, pp. 163–173, May 2013. DOI:

T. Ma, H. Yang, and L. Lu, "A feasibility study of a stand-alone hybrid solar–wind–battery system for a remote island," Applied Energy, vol. 121, pp. 149–158, May 2014. DOI:

A. Kaabeche and R. Ibtiouen, "Techno-economic optimization of hybrid photovoltaic/wind/diesel/battery generation in a stand-alone power system," Solar Energy, vol. 103, pp. 171–182, May 2014. DOI:

M. Smaoui, A. Abdelkafi, and L. Krichen, "Optimal sizing of stand-alone photovoltaic/wind/hydrogen hybrid system supplying a desalination unit," Solar Energy, vol. 120, pp. 263–276, Oct. 2015. DOI:

T. Ma, H. Yang, L. Lu, and J. Peng, "Pumped storage-based standalone photovoltaic power generation system: Modeling and techno-economic optimization," Applied Energy, vol. 137, pp. 649–659, Jan. 2015. DOI:

K. S. Sandhu and A. Mahesh, "Optimal sizing of PV/wind/battery hybrid renewable energy system considering demand side management," International Journal on Electrical Engineering and Informatics, vol. 10, no. 1, pp. 79–93, 2018. DOI:

H. Wang et al., "Application of Wall and Insulation Materials on Green Building: A Review," Sustainability, vol. 10, no. 9, Sep. 2018, Art. no. 3331. DOI:

R. Guechchati, M. A. Moussaoui, A. Mezrhab, and A. Mezrhab, "Simulation de l’effet de l’isolation thermique des batiments Cas du centre psychopedagogique SAFAA a Oujda," Journal of Renewable Energies, vol. 13, no. 2, pp. 223–232, Jun. 2010.

M. Bendouma, "Systemes d’isolation thermique par l’exterieur : etudes experimentales et numeriques des transferts de chaleur et d’humidite," Ph.D. dissertation, Southern Brittany University, France, 2018.

A. Hiendro, R. Kurnianto, M. Rajagukguk, Y. M. Simanjuntak, and Junaidi, "Techno-economic analysis of photovoltaic/wind hybrid system for onshore/remote area in Indonesia," Energy, vol. 59, pp. 652–657, Sep. 2013. DOI:

H. Camur, Y. Kassem, and E. Alessi, "A Techno-Economic Comparative Study of a Grid-Connected Residential Rooftop PV Panel: The Case Study of Nahr El-Bared, Lebanon," Engineering, Technology & Applied Science Research, vol. 11, no. 2, pp. 6956–6964, Apr. 2021. DOI:

H. Belmili, M. Haddadi, S. Bacha, M. F. Almi, and B. Bendib, "Sizing stand-alone photovoltaic–wind hybrid system: Techno-economic analysis and optimization," Renewable and Sustainable Energy Reviews, vol. 30, pp. 821–832, Feb. 2014. DOI:

J. H. Lim, "Optimal Combination and Sizing of a New and Renewable Hybrid Generation System," International Journal of Future Generation Communication and Networking, vol. 5, no. 2, pp. 43–60, Jun. 2012.

S. Rahimi, M. Meratizaman, S. Monadizadeh, and M. Amidpour, "Techno-economic analysis of wind turbine–PEM (polymer electrolyte membrane) fuel cell hybrid system in standalone area," Energy, vol. 67, pp. 381–396, Apr. 2014. DOI:

T. Markvart and L. Castaner, Practical Handbook of Photovoltaics: Fundamentals and Applications. Amsterdam, Netherlands: Elsevier, 2003.

C. Li, R. Zhai, H. Liu, Y. Yang, and H. Wu, "Optimization of a heliostat field layout using hybrid PSO-GA algorithm," Applied Thermal Engineering, vol. 128, pp. 33–41, Jan. 2018. DOI:

H. Borhanazad, S. Mekhilef, V. Gounder Ganapathy, M. Modiri-Delshad, and A. Mirtaheri, "Optimization of micro-grid system using MOPSO," Renewable Energy, vol. 71, pp. 295–306, Nov. 2014. DOI:

M. M. Zemzami, N. Elhami, A. Makhloufi, M. Itmi, and N. Hmina, Electrical power transmission optimization based on a new version of PSO algorithm. London, UK: ISTE Science Publishing, 2016.

N. Regis, C. M. Muriithi, and L. Ngoo, "Optimal Battery Sizing of a Grid-Connected Residential Photovoltaic System for Cost Minimization using PSO Algorithm," Engineering, Technology & Applied Science Research, vol. 9, no. 6, pp. 4905–4911, Dec. 2019. DOI:

D. K. Dhaked, Y. Gopal, and D. Birla, "Battery Charging Optimization of Solar Energy based Telecom Sites in India," Engineering, Technology & Applied Science Research, vol. 9, no. 6, pp. 5041–5046, Dec. 2019. DOI:

T. M. Layadi, G. Champenois, M. Mostefai, and D. Abbes, "Lifetime estimation tool of lead–acid batteries for hybrid power sources design," Simulation Modelling Practice and Theory, vol. 54, pp. 36–48, May 2015. DOI:

R. Dufo-Lopez, J. M. Lujano-Rojas, and J. L. Bernal-Agustin, "Comparison of different lead–acid battery lifetime prediction models for use in simulation of stand-alone photovoltaic systems," Applied Energy, vol. 115, pp. 242–253, Feb. 2014. DOI:


How to Cite

N. Rahmani and M. Mostefai, “Multi-Objective MPSO/GA Optimization of an Autonomous PV-Wind Hybrid Energy System”, Eng. Technol. Appl. Sci. Res., vol. 12, no. 4, pp. 8817–8824, Aug. 2022.


Abstract Views: 506
PDF Downloads: 374

Metrics Information

Most read articles by the same author(s)