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BBO-based small autonomous hybrid power system optimization incorporating wind speed and solar radiation forecasting

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  • Gupta, R.A.
  • Kumar, Rajesh
  • Bansal, Ajay Kumar

Abstract

Rising carbon emission or carbon footprint imposes grave concern over the earth׳s climatic condition, as it results in increasing average global temperature. Renewable energy sources seem to be the favorable solution in this regard. It can reduce the overall energy consumption rate globally. However, the renewable sources are intermittent in nature with very high initial installation price. Off-grid Small Autonomous Hybrid Power Systems (SAHPS) are good alternative for generating electricity locally in remote areas, where the transmission and distribution of electrical energy generated from conventional sources are otherwise complex, difficult and costly. In optimizing SAHPS, weather data over past several years are generally the main input, which include wind speed and solar radiation. The weather resources used in this optimization process have unsystematic variations based on the atmospheric and seasonal phenomenon and it also varies from year to year. While using past data in the analysis of SAHPS performance, it was assumed that the same pattern will be followed in the next year, which in reality is very unlikely to happen. In this paper, we use BBO optimization algorithm for SAHPS optimal component sizing by minimizing the cost of energy. We have also analysed the effect of using forecast weather data instead of past data on the SAHPS performance. ANNs, which are trained with back-propagation training algorithm, are used for wind speed and solar radiation forecasting. A case study was used for demonstrating the performance of BBO optimization algorithm along with forecasting effects. The simulation results clearly showed the advantages of utilizing wind speed and solar radiation forecasting in a SAHPS optimization problem.

Suggested Citation

  • Gupta, R.A. & Kumar, Rajesh & Bansal, Ajay Kumar, 2015. "BBO-based small autonomous hybrid power system optimization incorporating wind speed and solar radiation forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1366-1375.
  • Handle: RePEc:eee:rensus:v:41:y:2015:i:c:p:1366-1375
    DOI: 10.1016/j.rser.2014.09.017
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    1. Kalogirou, Soteris A., 2004. "Optimization of solar systems using artificial neural-networks and genetic algorithms," Applied Energy, Elsevier, vol. 77(4), pages 383-405, April.
    2. Haidar, Ahmed M.A. & John, Priscilla N. & Shawal, Mohd, 2011. "Optimal configuration assessment of renewable energy in Malaysia," Renewable Energy, Elsevier, vol. 36(2), pages 881-888.
    3. Bernal-Agustín, José L. & Dufo-López, Rodolfo & Rivas-Ascaso, David M., 2006. "Design of isolated hybrid systems minimizing costs and pollutant emissions," Renewable Energy, Elsevier, vol. 31(14), pages 2227-2244.
    4. Khalid, M. & Savkin, A.V., 2010. "A model predictive control approach to the problem of wind power smoothing with controlled battery storage," Renewable Energy, Elsevier, vol. 35(7), pages 1520-1526.
    5. Dufo-López, Rodolfo & Bernal-Agustín, José L., 2008. "Multi-objective design of PV–wind–diesel–hydrogen–battery systems," Renewable Energy, Elsevier, vol. 33(12), pages 2559-2572.
    6. Notton, G. & Muselli, M. & Poggi, P. & Louche, A., 1996. "Autonomous photovoltaic systems: Influences of some parameters on the sizing: Simulation timestep, input and output power profile," Renewable Energy, Elsevier, vol. 7(4), pages 353-369.
    7. Nema, Pragya & Nema, R.K. & Rangnekar, Saroj, 2009. "A current and future state of art development of hybrid energy system using wind and PV-solar: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2096-2103, October.
    8. Zhou, Wei & Lou, Chengzhi & Li, Zhongshi & Lu, Lin & Yang, Hongxing, 2010. "Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systems," Applied Energy, Elsevier, vol. 87(2), pages 380-389, February.
    9. Lei, Ma & Shiyan, Luan & Chuanwen, Jiang & Hongling, Liu & Yan, Zhang, 2009. "A review on the forecasting of wind speed and generated power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 915-920, May.
    10. Tascikaraoglu, A. & Uzunoglu, M. & Vural, B., 2012. "The assessment of the contribution of short-term wind power predictions to the efficiency of stand-alone hybrid systems," Applied Energy, Elsevier, vol. 94(C), pages 156-165.
    11. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    12. Tan, Yingjie & Meegahapola, Lasantha & Muttaqi, Kashem M., 2014. "A review of technical challenges in planning and operation of remote area power supply systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 876-889.
    13. Yang, Hongxing & Wei, Zhou & Chengzhi, Lou, 2009. "Optimal design and techno-economic analysis of a hybrid solar-wind power generation system," Applied Energy, Elsevier, vol. 86(2), pages 163-169, February.
    14. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.
    15. Muselli, M & Notton, G & Poggi, P & Louche, A, 2000. "PV-hybrid power systems sizing incorporating battery storage: an analysis via simulation calculations," Renewable Energy, Elsevier, vol. 20(1), pages 1-7.
    16. Celik, A.N., 2003. "A simplified model for estimating the monthly performance of autonomous wind energy systems with battery storage," Renewable Energy, Elsevier, vol. 28(4), pages 561-572.
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    7. Jiří Jaromír Klemeš & Petar Sabev Varbanov & Paweł Ocłoń & Hon Huin Chin, 2019. "Towards Efficient and Clean Process Integration: Utilisation of Renewable Resources and Energy-Saving Technologies," Energies, MDPI, vol. 12(21), pages 1-32, October.
    8. Javed, Muhammad Shahzad & Song, Aotian & Ma, Tao, 2019. "Techno-economic assessment of a stand-alone hybrid solar-wind-battery system for a remote island using genetic algorithm," Energy, Elsevier, vol. 176(C), pages 704-717.
    9. Nadjemi, O. & Nacer, T. & Hamidat, A. & Salhi, H., 2017. "Optimal hybrid PV/wind energy system sizing: Application of cuckoo search algorithm for Algerian dairy farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1352-1365.
    10. Li, Qian & Loy-Benitez, Jorge & Nam, KiJeon & Hwangbo, Soonho & Rashidi, Jouan & Yoo, ChangKyoo, 2019. "Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks," Energy, Elsevier, vol. 178(C), pages 277-292.
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    12. Chauhan, Anurag & Saini, R.P., 2016. "Techno-economic optimization based approach for energy management of a stand-alone integrated renewable energy system for remote areas of India," Energy, Elsevier, vol. 94(C), pages 138-156.
    13. Alfonso Angel Medina-Santana & Leopoldo Eduardo Cárdenas-Barrón, 2022. "Optimal Design of Hybrid Renewable Energy Systems Considering Weather Forecasting Using Recurrent Neural Networks," Energies, MDPI, vol. 15(23), pages 1-28, November.
    14. Gopinath Subramani & Vigna K. Ramachandaramurthy & P. Sanjeevikumar & Jens Bo Holm-Nielsen & Frede Blaabjerg & Leonowicz Zbigniew & Pawel Kostyla, 2019. "Techno-Economic Optimization of Grid-Connected Photovoltaic (PV) and Battery Systems Based on Maximum Demand Reduction (MDRed) Modelling in Malaysia," Energies, MDPI, vol. 12(18), pages 1-21, September.

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