Technical and Economical Analysis of Power Management System for Electric and Hydrogen Vehicles Charging Station Using Solar Powered, Hydrogen and Fuel Cell Technology
DOI:
https://doi.org/10.61841/w8vstm18Keywords:
DECS, HYG, PV, FC, PMS, MATLAB.Abstract
For a Hydrogen and Electric vehicles, a novel power management system (PMS) charging station using diesel energy battery bank (BB), conversion system (DECS) and photovoltaic (PV) with hydrogen unit(HYG) and fuel cell unit(FC) is proposed in this project. Proposed PMS system’s control objectives of are: (i) to ensure battery management based on irradiance condition of PV as well as Diesel generation capacity, Hydrogen level and Fuel cell capacity, (ii) to decrease system’s power loss (high efficient) (iii) to enhance the system reliability and power quality. In this project, we proposed the power management and stability improvement of a Electrical Vehicle connected system with a large-scale Diesel generator (DG)-photovoltaic (PV) and Fuel cell (FC) with hydrogen unit, an energy-storage unit based on battery is implemented. For hydrogen and electric vehicles, off-grid charging system is designed by this project. At same time, it is possible to charge, hydrogen and electric vehicles. On charging station, they appears like two hydrogen and electrical load demand. Solar panels are used to power charging station. An additional converter unit is implemented using bidirectional buck boost converter for battery, hydrogen and fuel cell unit used. With respect to grid’s reliability enhancement, minimization of loss, sharing of load, management of battery, for operating conditions, better operational performance is exhibited by proposed PMS method. MATLAB/SIMULINK environment is used for simulating proposed system.
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References
[1] Mehrjerdi H. Optimal correlation of non-renewable and renewable generating systems for producing
hydrogen and methane by power to gas process. Int J Hydrogen Energy 5 April 2019;44(18):9210e9.
[2] Hemmati R, Saboori H, Jirdehi MA. Stochastic planning and scheduling of energy storage systems for
congestion management in electric power systems including renewable energy resources. Energy
2017;133:380e7.
[3] Hemmati R. Technical and economic analysis of home energy management system incorporating smallscale wind turbine and battery energy storage system. J Clean Prod 2017;159(Suppl. C):106e18.
[4] Tanc¸ B, Arat HT, Baltacıo_glu E, Aydın K. Overview of the next quarter century vision of hydrogen fuel
cell electric vehicles. Int J Hydrogen Energy 2018. https://doi.org/10.1016/ j.ijhydene.2018.10.112. in press,
corrected proof.
[5] Al-Karaghouli A, Kazmerski LL. Energy consumption and water production cost of conventional and
renewable energy-powered desalination processes. Renew Sustain Energy Rev 2013;24:343e56.
[6] Abdelkareem MA, Assad MEH, Sayed ET, Soudan B. Recent progress in the use of renewable energy
sources to power water desalination plants. Desalination 2018;435:97e113.
[7] McDonagh S, O'Shea R, Wall DM, Deane J, Murphy JD. Modelling of a power-to-gas system to predict the
levelised cost of energy of an advanced renewable gaseous transport fuel. Appl Energy 2018;215:444e56.
[8] B. Zakeri and S. Syri, “Electrical energy storage systems: a comparative life cycle cost analysis”,
Renewable and Sustainable Energy Views, vol. 42,pp. 569-596, Ferbuary 2015.
[9] F. Zhang, P. Zhao, M. Niu, and J. Maddy, “The survey of key technologies in hydrogen energy storage”,
International Journal of Hydrogen Energy,vol. 41, pp. 14535-14552, September 2016.
[10] S. Dahbi, I. Mazozi, M. E. Ouariachi, A. Messaoudi,and A. Aziz, “Implementation of a Multi-control
Architecture in a Photovoltaic/ Grid/ Electrolysis System for Usual Use and Clean Storage by Hydrogen
Production”, International Journal of Renewable Energy Research, vol. 7, no. 4, pp. 1825-1835, 2017.
[11] Y. Allahvirdizadeh, M. Mohamadian, and M.HaghiFam, “Study of Energy Control Strategies for a
Standalone PV/FC/UC Microgrid in a Remote Area”,International Journal of Renewable Energy
Research,vol. 7, no. 3, pp. 1495-1508, 2017.
[12] O. Bilgin, “Evaluation of hydrogen energy production of mining waste waters and pools”, 4th International
Conference on Renewable Energy Research and Applications, Palermo, pp. 557-561,November 2015.
[13] E. Amores, J. Rodriguez, and C. Carreras, “Influence of operation parameters in the modelling of alkaline
water electrolysers for hydrogen production”,International Journal of Hydrogen Energy, vol. 39, pp.13063-
13078, 2014.
[14] P. Oliviera, C. Bourasseaua, and B. Bouamamab,“Low-temperature electrolysis system modelling: A
review”, Renewable and Sustainable Energy Reviews,vol 78, pp. 280-300, 2017.
[15] Khalilnejad, A. Abbaspour, and A.I. Sarwat,“Multi-level optimization approach for directly coupled
photovoltaic-electrolyser system”,International Journal of Hydrogen Energy, vol. 41, pp.11884-11894,
2016.
[16] S Divyapriya, A Amudha, R Vijayakumar“Automatic Frequency Response for Autonomous Distributed
V2G (Vehicle-to-Grid) Using IoT Technology” Journal of Electrical Engineering 19(1), 2018.
[17] Vijayakumar R Malarvizhi K Divyapriya. SDesign of Public Plug-in Electric Vehicle Charging Station for
Improving LVRT Capability of Grid Connected Wind Power Generation2018 International Conference on
Soft-computing and Network Security (ICSNS)10.1109/ICSNS.2018.8573632
[18] S Divyapriya, A Amudha, R Vijayakumar “Design of Residential Plug-in Electric Vehicle Charging Station
with Time of Use Tariff and IoT Technology”2018 International Conference on Soft-computing and
Network Security (ICSNS),IEEE 10.1109/ICSNS.2018.8573637 1-5.
[19] M.Poornima S.Bharath S.Divyapriya R. Vijayakumar Plug-in Electric Vehicle Supported DVR for Fault
Mitigation and Uninterrupted Power Supply in Distribution System 2018 International Conference on Softcomputing and Network Security (ICSNS) 978-1-5386-4552-9/18/$31.00 ©2018 IEEE.
[20] S Divyapriya, A Amudha, R Vijayakumar “Design and Implementation of Grid Connected
Solar/Wind/Diesel Generator Powered Charging Station for Electric Vehicles with Vehicle to Grid
Technology Using IoT ”,Current Signal Transduction Therapy Research article 13(1),2018.
[21] Divyapriya S, Amudha A, Vijayakumar R. Design of Renewable Energy Based PEVS Charging Station
With Energy Man-agement Technique. J Adv Res Dynam Cont Sys 2017; 9(17): 856-69.
[22] Vijayakumar R, Malarvizhi K, Divyapriya S. Control and Management Scheme of PV Integrated Charging
Facilities for PEVs with Texas CC3200 IoT Technology. Int J Engineer Tech Sci Res 2017; 4(9): 156-66.
[23] Divyapriya S, Amudha A, Vijayakumar R. Smart electric vehiclecharging infrastructure using internet of
things. Int J Innov Adv Compu Sci (IJIACS) 2017; 6(8): 368-374.
[24] M.Sivaram Krishnan ,M.Siva Ramkumar and M.Sownthara “Power Management Of Hybrid Renewable
Energy System By Frequency Deviation Control” in ‘International Journal of Innovative Research in
Science, Engineering and Technology’ on 3 (3) pp 763-769,2016.
[25] R.Sudhakar and M.Siva Ramkumar “Boosting With SEPIC” in ‘International Journal of Engineering and
Science’ 3 (4) pp 14- 19,2014.
[26] S. SamsonRaja, R. Sundar, A.Amutha, K. Nithiyananthan, (2016) ‘Virtual State Estimation calculator model
for Three Phase Power System Network’ Journal of Energy and Power Engineering, vol. 10, no. 8, pp. 497–
503, USA
[27] Manoharan, D., & Amudha, A. (2015). Condition Monitoring And Life Extension Of EHV Transformer.
International Journal of Applied Engineering Research, 10, 55.
[28] D.Manoharan, Dr.A.Amudha A Novel Optimization of stresses acting and failure rates with power
transformer International Journal of Applied Engineering Research ISSN 0973-4562 Volume 10, Number 3
(2015) pp. 6233-6240.
[29] Dr.A.Amudha “Enhancement of Available Transfer Capability using FACTS controller” in International
journal of Applied Mechanics and MaterialsVol. 573 (2014) pp 340-345
[30] Dr.A.Amudha “Optimal placement of Unified Power Flow Controller in the transmission line using SLF
algorithm” in International journal of Applied Mechanics and MaterialsVol. 573 (2014) pp 352-355
[31] V.J.Vijayalakshmi, Dr.C.S.Ravichandran, A.Amudha “Harmonic Elimination In Multilevel Inverters For
Solar Applications Using Dual Phase Analysis Based Neural Network” in the International journal of
Theoretical and Applied Information Technology Vol 68.No(2) pp 287-293
[32] V.J.Vijayalakshmi, Dr.C.S.Ravichandran,A.Amudha “Predetermination of Higher Order Harmonics by Dual
Phase Analysis” in International journal of Applied Mechanics and Materials Vol. 573 (2014) pp 13-18.
[33] A.Amudha, Christopher Asir Rajan, A.Amudha “Online Application Of Profit Based Unit Commitment
Using Hybrid Algorithms Of Memory Management Algorithm” in International Journal Of Advanced
Material Research Vol 403-408(2012), Pp 3965- 3972, DOI 10.4028 AMR. 403 408.3965
[34] A.Amudha, Christopher Asir Rajan“GENCO’S Strategies for Selling Power and Reserve using Particle
Swarm Optimization” in European Journal of Scientific Research. Vol. 85, No. 3, pp 408-417, 2012.
[35] A.Amudha, Christopher Asir Rajan“GENCO’S Strategies for Selling Power and Reserve using Hybrid
Algorithms of LR, GD and ANN”. WULFENIA Journal. Vol. 19, No. 9, pp. 99-118, 2012.
[36] A.Amudha, Christopher Asir Rajan“GENCO’S Strategies for Selling Power with effect of Reserve Using
Memory Management Algorithm” Archives Des Sciences, Vol. 65, No. 10, pp. 349-358, 2012
[37] A.Amudha, Christopher Asir Rajan“Integrating Gradient Search, Logistic Regression and Artificial Neural
Network for Profit Based Unit Commitment” in International Journal of Computational Intelligence
Systems, taylor and francis DOI:10.1080/18756891.2013.862355, Nov 2013
[38] A.Amudha, Christopher Asir Rajan“Generator scheduling under competitive environment using Memory
Management Algorithm” in Alexandria Engineering Journal, Elsevier Volume 52, Issue 3, September 2013,
Pages 337–346
[39] M.R.Latha, S.Kuppusamy, Dr.A.Amudha , and M.Siva Ramkumar “ An Efficient Single Stage Converter
Based PvDvr For Improving Voltage Quality” in International Journal of Control Theory and Applications
(IJCTA) 10 (38) pp 177-193, 2017.
[40] N.Sivakumar, D.Kavitha, M.Siva Ramkumar, V.Bhavithira and S.Kalaiarasi “A Single Stage High Gain
Converter For Gird Interconnected Renewable Application Using Perturb And Observe” in International
Journal of Control Theory and Applications (IJCTA) 10 (38) 161-175 , 2017.
[41] M.Sivaram Krishnan, Dr.A.Amudha, M.Siva Ramkumar, S.Sriragavi “Active Neutral Point Clamped 3
Level Matrix Converter based on Direct Torque Controlled-Space Vector Modulation for Induction
Machine” International Journal of Electronics, Electrical and Computational System, 7(4) , pp 612-620
[42] S. Senthil Kumar, D. Kavitha, A. Amudha, G. Emayavaramban, M. Siva Ramkumar “Analysis Of New
Novelty Multilevel Inverter Configuration With Boost Converters For A Photovoltaic System With Mppt”
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 11, No 1: pp 46-57
[43] Kannadasan, T., Thirumarimurugan, M., Sowmya, K. S., Sukanya, K., & Vijayashanthi, M. (2013). Dye
industry effluent treatment using cactus (Opuntia) and water hyacinth ( Eichhornia crassipes)’’IOSR. J.
Environ. Sci. Toxicol. Food Technol, 3(4), 41-43.
[44] P.Nagaveni, M.Siva RamKumar, M.Nivetha, A.Amudha, G.Emayavaramban , “Electrical Energy Audit –An
Experience in a Small Scale Textile Mill” International Journal of Innovative Technology and Exploring
Engineering, 8(10) pp 4102-4107
[45] Balachander Kalappan, D., & Ponnusamy, V. (2013). Optimization of Cost of Energy of Real Time
Renewable Energy System Feeding Commercial Load Case Study: A Textile Show Room in Coimbatore,
India. Life Science Journal, 10(7s).
[46] Wan, X., Zhang, K., Ramkumar, S., Deny, J., Emayavaramban, G., Ramkumar, M. S., & Hussein, A. F.
(2019). A Review on Electroencephalogram Based Brain Computer Interface for Elderly Disabled. IEEE
Access, 7, 36380-36387.
[47] Sivaram Krishnan, M., Amudha, A., & Siva Ramkumar, M. (2018). Execution Examination Of Three Phase
Ac To Three Phase Ac Matrix Converter Using Distinctive Transporter Based Exchanging Algorithms.
International journal of Pure and Applied Mathematics, 118(11), 609-617.
[48] Pandiarajan, N., Emayavaramban, G., Amudha, A., Ramkumar, M. S., Mansoor, I. V. M., Balachander, K.,
... & Krishnan, M. S. (2019). Design and Electric Spring for Power Quality Improvement in Pv-Based Dc
Grid.
[49] Amudha, D. A., Ramkumar, M. S., & Krishnan, M. S. DESIGN AND SIMULATION OF ZETA
CONVERTER WITH ZVZCS SWITCHING TECHNIQUE. Journal of Engineering and Applied Sciences,
14(9), 2764-2774.
[50] Ali, M. V. M., Nguyen, P. H., Kling, W. L., Chrysochos, A. I., Papadopoulos, T. A., & Papagiannis, G. K.
(2015, June). Fair power curtailment of distributed renewable energy sources to mitigate overvoltages in
low-voltage networks. In 2015 IEEE Eindhoven PowerTech (pp. 1-5). IEEE.
[51] Mansoor, V. M., Nguyen, P. H., & Kling, W. L. (2014, October). An integrated control for overvoltage
mitigation in the distribution network. In IEEE PES Innovative Smart Grid Technologies, Europe (pp. 1-6).
IEEE.
[52] Ali, M. V. M., Babar, M., Nguyen, P. H., & Cobben, J. F. G. (2017). Overlaying control mechanism for
solar PV inverters in the LV distribution network. Electric Power Systems Research, 145, 264-274.
[53] Mawarni, D. E., Ali, M. V. M., Nguyen, P. H., Kling, W. L., & Jerele, M. (2015, September). A case study
of using OLTC to mitigate overvoltage in a rural european low voltage network. In 2015 50th International
Universities Power Engineering Conference (UPEC) (pp. 1-5). IEEE.
[54] Ali, M. V. M., Nguyen, P. H., & Cobben, J. F. G. (2016, October). Coordinated control to mitigate over
voltage and under voltage in LV networks. In 2016 IEEE PES Innovative Smart Grid Technologies
Conference Europe (ISGT-Europe) (pp. 1-5). IEEE.
[55] Ali, M. V. M., Paterakis, N. G., Nguyen, P. H., & Cobben, J. F. G. (2017, June). A LV network overvoltage
mitigation strategy based on epsilon-decomposition. In 2017 IEEE Manchester PowerTech (pp. 1-6). IEEE.
[56] Ali, M. V. M., Nguyen, P. H., & Cobben, J. F. G. (2016, December). Internet of things in LV grids:
Framework and experiments. In 2016 Saudi Arabia Smart Grid (SASG) (pp. 1-5). IEEE.
[57] Viyathukattuva, Mansoor & Amudha, Alagarsamy & Ramkumar, M.Siva & Gopalakrishnan, G
Emayavarmban. (2019). Relation between Solar PV Power Generation, Inverter Rating and THD.
International Journal of Advanced Manufacturing Technology. 9. 4570-4575.
[58] Nagaraj, B., & Vijayakumar, P. (2012). Tuning of a PID controller using soft computing methodologies
applied to moisture control in paper machine. Intelligent Automation & Soft Computing, 18(4), 399-411.
[59] Emayavaramban, G., & Amudha, A. (2016). Recognition of sEMG for Prosthetic Control using Static and
Dynamic Neural Networks. International Journal of Control Theory and Applications, 2(6), 155-165.
[60] Emayavaramban, G., & Amudha, A. (2006). Identifying Hand Gestures using sEMG for Human Machine
Interaction.
[61] Emayavaramban, G., & Amudha, A. (2016). Recognition of sEMG for Prosthetic Control using Static and
Dynamic Neural Networks. International Journal of Control Theory and Applications, 2(6), 155-165.
[62] Kavitha, B., Karthikeyan, S., & Maybell, P. S. (2012). An ensemble design of intrusion detection system for
handling uncertainty using Neutrosophic Logic Classifier. Knowledge-Based Systems, 28, 88-96.
[63] Sakthivel, N. R., Sugumaran, V., & Nair, B. B. (2012). Automatic rule learning using roughset for fuzzy
classifier in fault categorization of mono-block centrifugal pump. Applied Soft Computing, 12(1), 196-203.
[64] Kalaiselvi, C., & Nasira, G. M. (2014, February). A new approach for diagnosis of diabetes and prediction
of cancer using ANFIS. In 2014 World Congress on Computing and Communication Technologies (pp. 188-
190). IEEE.
[65] Sakthivel, N. R., Nair, B. B., & Sugumaran, V. (2012). Soft computing approach to fault diagnosis of
centrifugal pump. Applied Soft Computing, 12(5), 1574-1581.
[66] Sureshkumar , G., Nagaveni.P.,2015.High Efficient Solar Energy Conversion using Sepic converter with
String Current Diverter,International Journal of Science and Research,4(3),547-552
[67] Gowrishankar, M., Nagaveni, P. and Balakrishnan, P., 2016. Transmission line fault detection and
classification using discrete wavelet transform and artificial neural network. Middle-East J. Sci. Res, 24(4),
pp.1112-1121.
[68] Baskar, S., Periyanayagi, S., Shakeel, P. M., & Dhulipala, V. S. (2019). An energy persistent rangedependent regulated transmission communication model for vehicular network applications. Computer
Networks, 152, 144-153.
[69] Sridhar, K. P., Baskar, S., Shakeel, P. M., & Dhulipala, V. S. (2019). Developing brain abnormality
recognize system using multi-objective pattern producing neural network. Journal of Ambient Intelligence
and Humanized Computing, 10(8), 3287-3295.
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