Fuzzy Logic Based Determination of Battery Charging Efficiency Applied to Hybrid Power System
Battery storage system is emerging as an essential component of hybrid power system based on renewable energy resources such as solar and wind in order to make these sources dispatchable. Accurate modeling of battery storage system is ssential in order to ensure optimal planning of hybrid power systems incorporating battery storage. Majority of the system planning studies involving battery storage assume battery charging efficiency to be constant. However a strong correlation exists between battery charging efficiency and battery state of charge. In this work a Fuzzy logic based model has been presented for determining battery charging efficiency relative to a particular SOC. In order to demonstrate the efficacy of proposed approach, reliability evaluation studies are carried out for a hypothetical autonomous hybrid power system located in Jaisalmer, Rajasthan, India. The impact of considering battery charging efficiency as a function of state of charge is compared against the assumption of fixed battery charging efficiency for three different configurations comprising of wind-storage, solar-storage and wind-solar-storage.
[1] Jose' L. Bernal-Agust─▒'n , Rodolfo Dufo-Lo' pez. "Simulation and
optimization of stand-alone hybrid renewable energy systems", Renewable and Sustainable Energy Reviews, Vol.13, No.8, pp.2111-
2118, October 2009.
[2] M.S. Kandil, S.A. Farghal, N.E. Hasanin, "Economic assessment of energy storage options in generation expansion planning". IEE
Proceedings, Vol. 137, Pt. C, No. 4, July 1990.
[3] Hongxing Yang, Lin Lu, Zhaohong Fang,"Optimal sizing method for
stand-alone hybrid solar-wind system with LPSP technology by using genetic algorithm", Solar Energy, Vol. 82, No.4, pp.354-367, April 2008.
[4] Rodolfo-Dufo-Lopez, Jose-L.Bernal-Agustin, JavierContreras,
"Optimization of Control Strategies for Stand-Alone Renewable
Energy Systems with Hydrogen Storage", Renewable Energy, Vol.32,
No.7, pp.1102-1126, June 2007.
[5] Wei Zhou, Hongxing Yang, Zhaohong Fang,"Battery behavior
prediction and battery working states analysis of a hybrid solar-wind
power generation system", Renewable Energy, Vol.33, No.6, pp. 1413-
1423, June 2008.
[6] Sercan Teleke, Mesut E. Baran, Subhashish Bhattacharya and Alex Q.
Huang, "Rule-Based Control of Battery Energy Storage for Dispatching
Intermittent Renewable Sources", IEEE Transactions on Sustainable
Energy, Volume. 1, No. 3, pp.117-124, October 2010.
[7] X. Y. Wang, D. Mahinda Vilathgamuwa, and S. S. Choi, "Determination
of battery storage capacity in energy buffer for wind farm," IEEE Trans.
Energy Convers., Vol. 23, no. 3, pp. 868-878, Sep. 2008.
[8] S. Teleke, M. E. Baran, A. Huang, S. Bhattacharya, and L. Anderson,
"Control strategies for battery energy storage for wind farm
dispatching," IEEE Trans. Energy Convers., Vol. 24, no. 3, pp. 725-732,
Sep. 2009.
[9] K. Yoshimoto, T. Nanahara, and G. Koshimizu, "New control method
for regulating state-of-charge of a battery in hybrid wind power/battery energy storage system," in Proc. IEEE PES Power Systems Conf. and
Expo., pp. 1244-1251,Oct. 29-Nov. 1 2006.
[10] Woodbank Communications Ltd., State of Charge (SOC) Determination
2005 [Online]. Available: http://www.mpoweruk.com/soc.htm.
[11] M. Ceraolo, "New dynamical models of lead-acid batteries," IEEE
Trans. Power Syst., Vol. 15, No. 4, pp. 1184-1190, Nov. 2000.
[12] S. Barsali and M. Ceraolo, "Dynamical models of lead-acid batteries:
Implementation issues," IEEE Trans. Energy Convers., Vol. 17, No. 1, pp. 16-23, Mar. 2002.
[13] Rengui Lu, Aochi Yang, Yufeng Xue, Lichao Xu, Chunbo Zhu,"
Analysis of the key factors affecting the energy efficiency of batteries in
electric vehicle", World Electric Vehicle Journal , Vol. 4, pp.9-13,2010.
[14] John W. Stevens and Garth P. Corey, "A Study of Lead-Acid Battery
Efficiency Near Top-of-Charge and the Impact on PV System Design".
Sandia National Laboratories, Photovoltaic System Applications Department.
[15] S. H. Karaki,R.B. Chedid and R. Ramdan, " Probabilistic Performance
Assessment of Wind Energy Conversion Systems", IEEE Transactions
on Energy Conversion, Vol. 14, No. 2,pp.217-224 ,June 1999.
[16] S. H. Karaki,R.B. Chedid and R. Ramdan, " Probabilistic Performance
Assessment of Solar-Wind Energy Conversion Systems", IEEE
Transactions on Energy Conversion, Vol. 14, No. 3, pp.766-772,
September 1999.
[17] S. H. Karaki,R.B. Chedid and R. Ramdan, " Probabilistic Performance
Assessment of Diesel-Wind Energy Conversion Systems", IEEE
Transactions on Energy Conversion, Vol. 15, No. 3, pp.284-289,
September 2000.
[18] C. Saramourtsis, A. G. Bakirtzis, P. S. Dokopoulos and E. S.
Gavanidou, " Probabilistic evaluation of the performance of Wind-
Diesel energy systems, "IEEE Transactions on Energy Conversion, Vol.
9, No. 4, pp.743-752, December 1994.
[19] Dheeraj Kumar Khatod, Vinay Pant, and Jaydev Sharma," Analytical
Approach for Well-Being Assessment of Small Autonomous Power
Systems With Solar and Wind Energy Sources", IEEE Transactions on
Energy Conversion, Vol.25, No.2, pp.535-545, June 2010.
[20] Y. M. Atwa, E. F. El-Saadany, M. M. A. Salama, and R.
Seethapathy,"Optimal Renewable Resources Mix for Distribution
System Energy Loss Minimization",IEEE Transactions on Power System
,Vol. 25, No. 1, pp.360-370, February 2010.
[21] B. Kosko, Fuzzy Engineering, Prentice-Hall, Upper Saddle River, NJ,
1997.
[22] Solar Radiant Energy over India, India Meteorological Department,
Ministry of Earth Sciences. 2009.
[23] Wind Energy. Resource Survey in India II, Allied Publishers Limited.
1992.
[24] Reliability Test System Task Force of the Application of Probability
Methods Subcommittee, “The IEEE reliability test system-1996”, IEEE
Transactions on Power Systems, Vol. 14, No. 3, pp. 1010-1020, August
1999.
[25] Y. M. Atwa, E. F. El-Saadany, M. M. A. Salama, and R.
Seethapathy,"Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization",IEEE Transactions on Power
System,Vol. 25, No. 1, pp.360-370, February 2010.
[26] http://www.polarisamerica.com
[27] http://www.cncoslight.com/
[1] Jose' L. Bernal-Agust─▒'n , Rodolfo Dufo-Lo' pez. "Simulation and
optimization of stand-alone hybrid renewable energy systems", Renewable and Sustainable Energy Reviews, Vol.13, No.8, pp.2111-
2118, October 2009.
[2] M.S. Kandil, S.A. Farghal, N.E. Hasanin, "Economic assessment of energy storage options in generation expansion planning". IEE
Proceedings, Vol. 137, Pt. C, No. 4, July 1990.
[3] Hongxing Yang, Lin Lu, Zhaohong Fang,"Optimal sizing method for
stand-alone hybrid solar-wind system with LPSP technology by using genetic algorithm", Solar Energy, Vol. 82, No.4, pp.354-367, April 2008.
[4] Rodolfo-Dufo-Lopez, Jose-L.Bernal-Agustin, JavierContreras,
"Optimization of Control Strategies for Stand-Alone Renewable
Energy Systems with Hydrogen Storage", Renewable Energy, Vol.32,
No.7, pp.1102-1126, June 2007.
[5] Wei Zhou, Hongxing Yang, Zhaohong Fang,"Battery behavior
prediction and battery working states analysis of a hybrid solar-wind
power generation system", Renewable Energy, Vol.33, No.6, pp. 1413-
1423, June 2008.
[6] Sercan Teleke, Mesut E. Baran, Subhashish Bhattacharya and Alex Q.
Huang, "Rule-Based Control of Battery Energy Storage for Dispatching
Intermittent Renewable Sources", IEEE Transactions on Sustainable
Energy, Volume. 1, No. 3, pp.117-124, October 2010.
[7] X. Y. Wang, D. Mahinda Vilathgamuwa, and S. S. Choi, "Determination
of battery storage capacity in energy buffer for wind farm," IEEE Trans.
Energy Convers., Vol. 23, no. 3, pp. 868-878, Sep. 2008.
[8] S. Teleke, M. E. Baran, A. Huang, S. Bhattacharya, and L. Anderson,
"Control strategies for battery energy storage for wind farm
dispatching," IEEE Trans. Energy Convers., Vol. 24, no. 3, pp. 725-732,
Sep. 2009.
[9] K. Yoshimoto, T. Nanahara, and G. Koshimizu, "New control method
for regulating state-of-charge of a battery in hybrid wind power/battery energy storage system," in Proc. IEEE PES Power Systems Conf. and
Expo., pp. 1244-1251,Oct. 29-Nov. 1 2006.
[10] Woodbank Communications Ltd., State of Charge (SOC) Determination
2005 [Online]. Available: http://www.mpoweruk.com/soc.htm.
[11] M. Ceraolo, "New dynamical models of lead-acid batteries," IEEE
Trans. Power Syst., Vol. 15, No. 4, pp. 1184-1190, Nov. 2000.
[12] S. Barsali and M. Ceraolo, "Dynamical models of lead-acid batteries:
Implementation issues," IEEE Trans. Energy Convers., Vol. 17, No. 1, pp. 16-23, Mar. 2002.
[13] Rengui Lu, Aochi Yang, Yufeng Xue, Lichao Xu, Chunbo Zhu,"
Analysis of the key factors affecting the energy efficiency of batteries in
electric vehicle", World Electric Vehicle Journal , Vol. 4, pp.9-13,2010.
[14] John W. Stevens and Garth P. Corey, "A Study of Lead-Acid Battery
Efficiency Near Top-of-Charge and the Impact on PV System Design".
Sandia National Laboratories, Photovoltaic System Applications Department.
[15] S. H. Karaki,R.B. Chedid and R. Ramdan, " Probabilistic Performance
Assessment of Wind Energy Conversion Systems", IEEE Transactions
on Energy Conversion, Vol. 14, No. 2,pp.217-224 ,June 1999.
[16] S. H. Karaki,R.B. Chedid and R. Ramdan, " Probabilistic Performance
Assessment of Solar-Wind Energy Conversion Systems", IEEE
Transactions on Energy Conversion, Vol. 14, No. 3, pp.766-772,
September 1999.
[17] S. H. Karaki,R.B. Chedid and R. Ramdan, " Probabilistic Performance
Assessment of Diesel-Wind Energy Conversion Systems", IEEE
Transactions on Energy Conversion, Vol. 15, No. 3, pp.284-289,
September 2000.
[18] C. Saramourtsis, A. G. Bakirtzis, P. S. Dokopoulos and E. S.
Gavanidou, " Probabilistic evaluation of the performance of Wind-
Diesel energy systems, "IEEE Transactions on Energy Conversion, Vol.
9, No. 4, pp.743-752, December 1994.
[19] Dheeraj Kumar Khatod, Vinay Pant, and Jaydev Sharma," Analytical
Approach for Well-Being Assessment of Small Autonomous Power
Systems With Solar and Wind Energy Sources", IEEE Transactions on
Energy Conversion, Vol.25, No.2, pp.535-545, June 2010.
[20] Y. M. Atwa, E. F. El-Saadany, M. M. A. Salama, and R.
Seethapathy,"Optimal Renewable Resources Mix for Distribution
System Energy Loss Minimization",IEEE Transactions on Power System
,Vol. 25, No. 1, pp.360-370, February 2010.
[21] B. Kosko, Fuzzy Engineering, Prentice-Hall, Upper Saddle River, NJ,
1997.
[22] Solar Radiant Energy over India, India Meteorological Department,
Ministry of Earth Sciences. 2009.
[23] Wind Energy. Resource Survey in India II, Allied Publishers Limited.
1992.
[24] Reliability Test System Task Force of the Application of Probability
Methods Subcommittee, “The IEEE reliability test system-1996”, IEEE
Transactions on Power Systems, Vol. 14, No. 3, pp. 1010-1020, August
1999.
[25] Y. M. Atwa, E. F. El-Saadany, M. M. A. Salama, and R.
Seethapathy,"Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization",IEEE Transactions on Power
System,Vol. 25, No. 1, pp.360-370, February 2010.
[26] http://www.polarisamerica.com
[27] http://www.cncoslight.com/
@article{"International Journal of Electrical, Electronic and Communication Sciences:58536", author = "Priyanka Paliwal and N. P. Patidar and R. K. Nema", title = "Fuzzy Logic Based Determination of Battery Charging Efficiency Applied to Hybrid Power System", abstract = "Battery storage system is emerging as an essential component of hybrid power system based on renewable energy resources such as solar and wind in order to make these sources dispatchable. Accurate modeling of battery storage system is ssential in order to ensure optimal planning of hybrid power systems incorporating battery storage. Majority of the system planning studies involving battery storage assume battery charging efficiency to be constant. However a strong correlation exists between battery charging efficiency and battery state of charge. In this work a Fuzzy logic based model has been presented for determining battery charging efficiency relative to a particular SOC. In order to demonstrate the efficacy of proposed approach, reliability evaluation studies are carried out for a hypothetical autonomous hybrid power system located in Jaisalmer, Rajasthan, India. The impact of considering battery charging efficiency as a function of state of charge is compared against the assumption of fixed battery charging efficiency for three different configurations comprising of wind-storage, solar-storage and wind-solar-storage.
", keywords = "Battery Storage, Charging efficiency, Fuzzy Logic, Hybrid Power System, Reliability", volume = "6", number = "11", pages = "1332-5", }
