Research Article
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Year 2017, Volume: 2 Issue: 2, 64 - 81, 31.12.2017
https://doi.org/10.23884/IJESG.2017.2.2.05

Abstract

References

  • Mishra, S., et al., Approach for Cost Determination of Electro-Mechanical Equipment in RoR SHP Projects, Smart Grid and Renewable Energy, (2011), 2, pp. 63-67.
  • Cavazzini, G., et al., Accurate Estimation Model for Small and Micro Hydropower Plants Costs in Hybrid Energy Systems Modelling, Energy 103, (2016), pp. 746-757.
  • Carapellucci, R., et al., Techno-Economic Evaluation os Small-Hydro Power Plants: Modelling and Characterisation of the Abruzzo region in Italy, Renewable Energy 75, (2015), pp. 395-406.
  • Mishra, S., et al., Costing of a Small Hydropower Projects, IACSIT International Journal of Engineering and Technology, Vol. 4, No. 3, June 2012, pp. 239-242.
  • Elbatran, A. H., et al., Operation, Performance and economic Analysis of low Head Micro-Hydropower Turbines for Rural and Remote Areas: A Review, Renewable and Sustainable Energy Reviews 43, (2015), pp. 40-50.
  • Aggdis, G. A., et. al., The Costs of Small-Scale Hydro Power Production: Impact on the Development of Existing Potential, Renewable Energy 35, (2010), pp. 2632-2638.
  • Ogayar, B., et. al., Cost Determination of the Electro-Mechanical Equipment of a Small Hydro-Power Plant, Renewable Energy 34, (2009), pp. 6-13.
  • Singal, S. K., et. al., analysis for Cost Estimation of low Head Run-of-River Small Hydropower Schemes, Energy for Sustainable Development 14, (2010), pp. 117-126.
  • Ogayar, B., et. al., Analysis of the Cost for the Refurbishment of Small Hydropower Plants, Renewable Energy 34, (2009), pp. 2501-2509.
  • Filho, G. L. T., et. al., Cost Estimate of Small Hydroelectric Power Plants Based on the Aspect Factor, Renewable and Sustainable Energy Reviews 77, (2017), pp. 229-238.
  • Özdemir, M.T., et al., Tuning of Optimal Classical and Fractional Order PID Parameters for Automatic Generation Control Based on the Bacterial Swarm Optimization. In: IFACPapersOnLine, (2015), pp. 501-506.
  • Eberhart, R. C., et. al., A New Optimizer Using Particle Swarm Theory. In Proceedings of the Sixth International Symposium on Micro Machine and Human Science Vol. 1, 1995, pp. 39-43.
  • Passino, K. M., Biomimicry of bacterial foraging for distributed optimization and control. Control Systems, IEEE, 22, 3, (2002), pp. 52-67.
  • Korani, W.M., et. al., Bacterial foraging oriented by particle swarm optimization strategy for PID tuning. IEEE International Symposium in Computational Intelligence in Robotics and Automation (CIRA), IEEE, (2009), pp. 445-450.
  • Öztürk, D, et. al., Load-Frequency Optimization With Heuristic Techniques In A Autonomous Hybrid Ac Microgrid, International Journal Of Energy And Smart Grid 2, (2017), pp. 2-16
  • Çelik, V., et al., The effects on stability region of the fractional-order PI controller for one-area time-delayed load--frequency control systems. Transactions of the Institute of Measurement and Control, (2017), Volume: 39 issue: 10, page(s): 1509-1521
  • Özdemir, M.T.,et. al., Optimal Load frequency control in two area power systems with Optics Inspired Optimization. Firat Universitesi Muhendislik Bilimleri Dergisi, 2, (2016), 28, pp. 57-66.
  • Özdemir, M.T., et. al., Comparative Performance Analysis of Optimal PID Parameters Tuning Based on the Optics Inspired Optimization Methods for Automatic Generation Control. Energies (2017), 10, 2134. Eroğlu, V., Tek Sorun Para, Global Enerji, Sayı 19, (2006), pp. 26-29.
  • Basmacı, E., Enerji Darboğazo ve Hidroelektrik Santallerimiz, DSI Vakfı Yayını, (2006).
  • Gürbüz, A., et. al., Sustainable Energy Supply Studies in Turkey and the Role Eie, International Congress on River Basin Management, 22 to 24 March 2007, Antalya.
  • Özdemir, M.T., et. al., Türkiye'nin Enerji Politikasında Küçük ve Çok Küçük Hidroelektrik Santrallerin Yeri ve Önemi, ICANAS 38, 10-15 Eylül 2007, Ankara, Türkiye
  • Özdemir, M.T., et al., An Experimental System for Electrical and Mechanical Education: Micro Hydro Power Plant Prototype. Procedia-Social and Behavioral Sciences, 47, (2012), pp. 2114- 2119.
  • Clarke, A. W., et. al., Surveys of Energy Resources, Oxford, Published by Elsevier ltd, (2004), pp.464. Priddle, R., World Energy Outlook 2001, The International Energy Agency (IEA) France, (2001) pp. 422.
  • Ünsal, İ., Turkey's Hydroelectric Potential And Energy Policies, Stradigma E-Journal of Strategy and Analysis, Issue 6 july 2003, www.stradigma.com.

COST ANALYSIS OF MINI HYDRO POWER PLANT USING BACTERIAL SWARM OPTIMIZATION

Year 2017, Volume: 2 Issue: 2, 64 - 81, 31.12.2017
https://doi.org/10.23884/IJESG.2017.2.2.05

Abstract


















According to the 2023 vision determined by
Turkey, which is one of the G20 countries, it aims to evaluate of the hydro
power potential in terms of technical and economic making medium and large
hydro power plants. Turkey's mini and micro hydro power potential isn’t fully
evaluated as a number of countries.  In
this context, empirical formula for cost analysis of mini and micro hydro power
plants, which are becoming increasingly important, have been developed in this
work with the aim of facilitating economic analysis. The developed equation is found
by modified Bacterial Swarm Optimization (BSO) algorithm. When analyzed with
the literature data, the obtained equation can calculate the costs with the
least mistakes.

References

  • Mishra, S., et al., Approach for Cost Determination of Electro-Mechanical Equipment in RoR SHP Projects, Smart Grid and Renewable Energy, (2011), 2, pp. 63-67.
  • Cavazzini, G., et al., Accurate Estimation Model for Small and Micro Hydropower Plants Costs in Hybrid Energy Systems Modelling, Energy 103, (2016), pp. 746-757.
  • Carapellucci, R., et al., Techno-Economic Evaluation os Small-Hydro Power Plants: Modelling and Characterisation of the Abruzzo region in Italy, Renewable Energy 75, (2015), pp. 395-406.
  • Mishra, S., et al., Costing of a Small Hydropower Projects, IACSIT International Journal of Engineering and Technology, Vol. 4, No. 3, June 2012, pp. 239-242.
  • Elbatran, A. H., et al., Operation, Performance and economic Analysis of low Head Micro-Hydropower Turbines for Rural and Remote Areas: A Review, Renewable and Sustainable Energy Reviews 43, (2015), pp. 40-50.
  • Aggdis, G. A., et. al., The Costs of Small-Scale Hydro Power Production: Impact on the Development of Existing Potential, Renewable Energy 35, (2010), pp. 2632-2638.
  • Ogayar, B., et. al., Cost Determination of the Electro-Mechanical Equipment of a Small Hydro-Power Plant, Renewable Energy 34, (2009), pp. 6-13.
  • Singal, S. K., et. al., analysis for Cost Estimation of low Head Run-of-River Small Hydropower Schemes, Energy for Sustainable Development 14, (2010), pp. 117-126.
  • Ogayar, B., et. al., Analysis of the Cost for the Refurbishment of Small Hydropower Plants, Renewable Energy 34, (2009), pp. 2501-2509.
  • Filho, G. L. T., et. al., Cost Estimate of Small Hydroelectric Power Plants Based on the Aspect Factor, Renewable and Sustainable Energy Reviews 77, (2017), pp. 229-238.
  • Özdemir, M.T., et al., Tuning of Optimal Classical and Fractional Order PID Parameters for Automatic Generation Control Based on the Bacterial Swarm Optimization. In: IFACPapersOnLine, (2015), pp. 501-506.
  • Eberhart, R. C., et. al., A New Optimizer Using Particle Swarm Theory. In Proceedings of the Sixth International Symposium on Micro Machine and Human Science Vol. 1, 1995, pp. 39-43.
  • Passino, K. M., Biomimicry of bacterial foraging for distributed optimization and control. Control Systems, IEEE, 22, 3, (2002), pp. 52-67.
  • Korani, W.M., et. al., Bacterial foraging oriented by particle swarm optimization strategy for PID tuning. IEEE International Symposium in Computational Intelligence in Robotics and Automation (CIRA), IEEE, (2009), pp. 445-450.
  • Öztürk, D, et. al., Load-Frequency Optimization With Heuristic Techniques In A Autonomous Hybrid Ac Microgrid, International Journal Of Energy And Smart Grid 2, (2017), pp. 2-16
  • Çelik, V., et al., The effects on stability region of the fractional-order PI controller for one-area time-delayed load--frequency control systems. Transactions of the Institute of Measurement and Control, (2017), Volume: 39 issue: 10, page(s): 1509-1521
  • Özdemir, M.T.,et. al., Optimal Load frequency control in two area power systems with Optics Inspired Optimization. Firat Universitesi Muhendislik Bilimleri Dergisi, 2, (2016), 28, pp. 57-66.
  • Özdemir, M.T., et. al., Comparative Performance Analysis of Optimal PID Parameters Tuning Based on the Optics Inspired Optimization Methods for Automatic Generation Control. Energies (2017), 10, 2134. Eroğlu, V., Tek Sorun Para, Global Enerji, Sayı 19, (2006), pp. 26-29.
  • Basmacı, E., Enerji Darboğazo ve Hidroelektrik Santallerimiz, DSI Vakfı Yayını, (2006).
  • Gürbüz, A., et. al., Sustainable Energy Supply Studies in Turkey and the Role Eie, International Congress on River Basin Management, 22 to 24 March 2007, Antalya.
  • Özdemir, M.T., et. al., Türkiye'nin Enerji Politikasında Küçük ve Çok Küçük Hidroelektrik Santrallerin Yeri ve Önemi, ICANAS 38, 10-15 Eylül 2007, Ankara, Türkiye
  • Özdemir, M.T., et al., An Experimental System for Electrical and Mechanical Education: Micro Hydro Power Plant Prototype. Procedia-Social and Behavioral Sciences, 47, (2012), pp. 2114- 2119.
  • Clarke, A. W., et. al., Surveys of Energy Resources, Oxford, Published by Elsevier ltd, (2004), pp.464. Priddle, R., World Energy Outlook 2001, The International Energy Agency (IEA) France, (2001) pp. 422.
  • Ünsal, İ., Turkey's Hydroelectric Potential And Energy Policies, Stradigma E-Journal of Strategy and Analysis, Issue 6 july 2003, www.stradigma.com.
There are 24 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Soner Çelikdemir

Burak Yıldırım This is me

Mahmut Temel Özdemir

Publication Date December 31, 2017
Published in Issue Year 2017 Volume: 2 Issue: 2

Cite

IEEE S. Çelikdemir, B. Yıldırım, and M. T. Özdemir, “COST ANALYSIS OF MINI HYDRO POWER PLANT USING BACTERIAL SWARM OPTIMIZATION”, IJESG, vol. 2, no. 2, pp. 64–81, 2017, doi: 10.23884/IJESG.2017.2.2.05.

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