A Review of Battery Charging - Discharging Management Controller: A Proposed Conceptual Battery Storage Charging – Discharging Centralized Controller

Authors

  • N. A. Zainurin Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Malaysia
  • S. A. B. Anas Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Malaysia
  • R. S. S. Singh Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Malaysia
Volume: 11 | Issue: 4 | Pages: 7515-7521 | August 2021 | https://doi.org/10.48084/etasr.4217

Abstract

This paper describes the development of a centralized controller to charge or discharge the battery storages that are connected to renewable energy sources. The centralized controller is able to assist, control, and manage the battery storage charging when excessive power is available from renewable energy sources. At the same time, the centralized controller also performs battery storage discharging when the connected load requires a power source, especially when the renewable energy sources are unavailable. Background studies regarding battery storage charging-discharging are presented in the introduction section. Also, generally developed charging-discharging methods or techniques were applied at the system level and not specifically to the battery storage system level. Due to the limited study on battery storage system charging-discharging, this paper reviews some of the similar studies in order to understand the battery storage charging–discharging characteristics as well as to propose a new conceptual methodology for the proposed centralized controller. The battery storage State-of-Charge (SoC) is used as the criterion to develop the conceptual centralized controller, which is also used as a switching characteristic between charging or discharging when only the battery energy storages are supplying the output power to the connected load. Therefore, this paper mainly focuses on the conceptual methodology as well as explaining the functionality and operationality of the proposed centralized controller. A summarized comparison based on the studied charging–discharging systems with the proposed centralized controller is presented to indicate the validity of the proposed centralized controller.

Keywords:

management controller, centralized controller, battery charging/discharging, dynamic charging/discharging controller

Downloads

Download data is not yet available.

References

T. Pangaribowo, W. Mulyo Utomo, A. Bakar, and D. Khaerudini, "Battery charging and discharging control of a hybrid energy system using microcontroller," Indonesian Journal of Electrical Engineering and Computer Science, vol. 17, no. 2, pp. 575-582, Feb. 2020. https://doi.org/10.11591/ijeecs.v17.i2.pp575-582

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. https://doi.org/10.48084/etasr.3121

E. A. Al-Ammar, N. H. Malik, and M. Usman, "Application of using Hybrid Renewable Energy in Saudi Arabia," Engineering, Technology & Applied Science Research, vol. 1, no. 4, pp. 84-89, Aug. 2011. https://doi.org/10.48084/etasr.33

J.-H. Teng, S.-W. Luan, D.-J. Lee, and Y.-Q. Huang, "Optimal Charging/Discharging Scheduling of Battery Storage Systems for Distribution Systems Interconnected With Sizeable PV Generation Systems," IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 1425-1433, May 2013. https://doi.org/10.1109/TPWRS.2012.2230276

H. Bo, C. Yanbo, T. Wen, and G. Leijiao, "Implementation of battery charging and discharging system in photovoltaic system," in 5th International Conference on Power Electronics Systems and Applications, Hong Kong, China, Dec. 2013, pp. 1-5. https://doi.org/10.1109/PESA.2013.6828200

E. H. M. Ndiaye, A. Ndiaye, M. Faye, and S. Gueye, "Intelligent Control of a Photovoltaic Generator for Charging and Discharging Battery Using Adaptive Neuro-Fuzzy Inference System," International Journal of Photoenergy, vol. 2020, Mar. 2020, Art. no. e8649868. https://doi.org/10.1155/2020/8649868

E. Banguero, A. Correcher, A. Perez-Navarro, F. Morant, and A. Aristizabal, "A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems," Energies, vol. 11, no. 4, p. 1021, Apr. 2018. https://doi.org/10.3390/en11041021

Y. Yin, X. Luo, S. Guo, Z. Zhou, and J. Wang, "A Battery Charging Control Strategy for Renewable Energy Generation Systems," in World Congress on Engineering, London, UK, Jul. 2008.

M. O. Qays et al., "An Intelligent Controlling Method for Battery Lifetime Increment Using State of Charge Estimation in PV-Battery Hybrid System," Applied Sciences, vol. 10, no. 24, Jan. 2020, Art. no. 8799. https://doi.org/10.3390/app10248799

M. Faisal, M. A. Hannan, P. J. Ker, and M. N. Uddin, "Backtracking Search Algorithm Based Fuzzy Charging-Discharging Controller for Battery Storage System in Microgrid Applications," IEEE Access, vol. 7, pp. 159357-159368, 2019. https://doi.org/10.1109/ACCESS.2019.2951132

M. Zhang, "Battery charging and discharging research based on the interactive technology of smart grid and electric vehicle," AIP Conference Proceedings, vol. 1971, no. 1, Jun. 2018, Art. no. 050004. https://doi.org/10.1063/1.5041195

H. Cai, Q. Chen, Z. Guan, and J. Huang, "Day-ahead optimal charging/discharging scheduling for electric vehicles in microgrids," Protection and Control of Modern Power Systems, vol. 3, no. 1, Apr. 2018, Art. no. 9. https://doi.org/10.1186/s41601-018-0083-3

F. Spertino, A. Ciocia, P. D. Leo, and G. M. and A. Russo, "A smart battery management system for photovoltaic plants in households based on raw production forecast," in Green Energy Advances, D. Enescu, Ed. London, UK: IntechOpen, 2018. https://doi.org/10.5772/intechopen.80562

C. Yanbo, Z. Yan, S. Yue, and H. Bo, "Research on Battery Charging-Discharging in New Energy Systems," Research Journal of Applied Sciences, Engineering and Technology, vol. 6, no. 7, pp. 1200-1208, 2013. https://doi.org/10.19026/rjaset.6.3932

B. Yu, "Design and Experimental Results of Battery Charging System for Microgrid System," International Journal of Photoenergy, vol. 2016, Oct. 2016, Art. no. e7134904. https://doi.org/10.1155/2016/7134904

M. M. Ismail and A. F. Bendary, "Smart battery controller using ANFIS for three phase grid connected PV array system," Mathematics and Computers in Simulation, vol. 167, pp. 104-118, Jan. 2020. https://doi.org/10.1016/j.matcom.2018.04.008

M. Gaber, S. El-Banna, M. El-Dabah, and M. Hamad, "Designing and Implementation of an Intelligent Energy Management System for Electric Ship power system based on Adaptive Neuro-Fuzzy Inference System (ANFIS)," Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 195-203, 2021. https://doi.org/10.25046/aj060223

M. A. Hannan, M. S. H. Lipu, A. Hussain, M. H. Saad, and A. Ayob, "Neural Network Approach for Estimating State of Charge of Lithium-Ion Battery Using Backtracking Search Algorithm," IEEE Access, vol. 6, pp. 10069-10079, 2018. https://doi.org/10.1109/ACCESS.2018.2797976

M. G. M. Abdolrasol, M. A. Hannan, A. Mohamed, U. A. U. Amiruldin, I. B. Z. Abidin, and M. N. Uddin, "An Optimal Scheduling Controller for Virtual Power Plant and Microgrid Integration Using the Binary Backtracking Search Algorithm," IEEE Transactions on Industry Applications, vol. 54, no. 3, pp. 2834-2844, May 2018. https://doi.org/10.1109/TIA.2018.2797121

K. Garifi, K. Baker, D. Christensen, and B. Touri, "Control of Energy Storage in Home Energy Management Systems: Non-Simultaneous Charging and Discharging Guarantees," arXiv:1805.00100 [math], Apr. 2019, Accessed: Aug. 08, 2021. [Online]. Available: http://arxiv.org/abs/1805.00100.

B.-R. Ke, Y.-H. Lin, H.-Z. Chen, and S.-C. Fang, "Battery charging and discharging scheduling with demand response for an electric bus public transportation system," Sustainable Energy Technologies and Assessments, vol. 40, Aug. 2020, Art. no. 100741. https://doi.org/10.1016/j.seta.2020.100741

M. Faisal, M. A. Hannan, P. J. Ker, M. S. A. Rahman, R. A. Begum, and T. M. I. Mahlia, "Particle swarm optimised fuzzy controller for charging-discharging and scheduling of battery energy storage system in MG applications," Energy Reports, vol. 6, pp. 215-228, Dec. 2020. https://doi.org/10.1016/j.egyr.2020.12.007

R. L. Welch and G. K. Venayagamoorthy, "Energy dispatch fuzzy controller for a grid-independent photovoltaic system," Energy Conversion and Management, vol. 51, no. 5, pp. 928-937, May 2010. https://doi.org/10.1016/j.enconman.2009.11.031

P. Singh, R. Vinjamuri, X. Wang, and D. Reisner, "Design and implementation of a fuzzy logic-based state-of-charge meter for Li-ion batteries used in portable defibrillators," Journal of Power Sources, vol. 162, no. 2, pp. 829-836, Nov. 2006. https://doi.org/10.1016/j.jpowsour.2005.04.039

D. Arcos-Aviles, J. Pascual, L. Marroyo, P. Sanchis, and F. Guinjoan, "Fuzzy Logic-Based Energy Management System Design for Residential Grid-Connected Microgrids," IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 530-543, Mar. 2018. https://doi.org/10.1109/TSG.2016.2555245

M. Collotta, G. Pau, and V. Maniscalco, "A Fuzzy Logic Approach by Using Particle Swarm Optimization for Effective Energy Management in IWSNs," IEEE Transactions on Industrial Electronics, vol. 64, no. 12, pp. 9496-9506, Dec. 2017. https://doi.org/10.1109/TIE.2017.2711548

D. A. Aviles, F. Guinjoan, J. Barricarte, L. Marroyo, P. Sanchis, and H. Valderrama, "Battery management fuzzy control for a grid- tied microgrid with renewable generation," in 38th Annual Conference on IEEE Industrial Electronics Society, Montreal, Canada, Oct. 2012, pp. 5607-5612. https://doi.org/10.1109/IECON.2012.6389008

E. Perez, H. Beltran, N. Aparicio, and P. Rodriguez, "Predictive Power Control for PV Plants With Energy Storage," IEEE Transactions on Sustainable Energy, vol. 4, no. 2, pp. 482-490, Apr. 2013. https://doi.org/10.1109/TSTE.2012.2210255

H. Pezeshki, P. Wolfs, and G. Ledwich, "A model predictive approach for community battery energy storage system optimization," in IEEE PES General Meeting | Conference Exposition, National Harbor, MD, USA, Jul. 2014, pp. 1-5. https://doi.org/10.1109/PESGM.2014.6938788

A. M. Dizqah, A. Maheri, K. Busawon, and A. Kamjoo, "A Multivariable Optimal Energy Management Strategy for Standalone DC Microgrids," IEEE Transactions on Power Systems, vol. 30, no. 5, pp. 2278-2287, Sep. 2015. https://doi.org/10.1109/TPWRS.2014.2360434

T. Morstyn, B. Hredzak, R. P. Aguilera, and V. G. Agelidis, "Model Predictive Control for Distributed Microgrid Battery Energy Storage Systems," IEEE Transactions on Control Systems Technology, vol. 26, no. 3, pp. 1107-1114, May 2018. https://doi.org/10.1109/TCST.2017.2699159

M. Petrollese, L. Valverde, D. Cocco, G. Cau, and J. Guerra, "Real-time integration of optimal generation scheduling with MPC for the energy management of a renewable hydrogen-based microgrid," Applied Energy, vol. 166, pp. 96-106, Mar. 2016. https://doi.org/10.1016/j.apenergy.2016.01.014

T. Morstyn, B. Hredzak, and V. G. Agelidis, "Dynamic optimal power flow for DC microgrids with distributed battery energy storage systems," in IEEE Energy Conversion Congress and Exposition, Milwaukee, WI, USA, Sep. 2016, pp. 1-6. https://doi.org/10.1109/ECCE.2016.7855059

F. Hafiz, P. Fajri, and I. Husain, "Load regulation of a smart household with PV-storage and electric vehicle by dynamic programming successive algorithm technique," in IEEE Power and Energy Society General Meeting, Boston, MA, USA, Jul. 2016, pp. 1-5. https://doi.org/10.1109/PESGM.2016.7741717

E. Rovianto, R. S. Wibowo, V. Lystianingrum, and R. Delfianti, "Dynamic DC Optimal Power Flow Considering Losses And Different Battery Charge-Discharge Cost," in International Seminar on Intelligent Technology and Its Applications, Surabaya, Indonesia, Jul. 2020, pp. 32-37. https://doi.org/10.1109/ISITIA49792.2020.9163782

R. Azizipanah-Abarghooee, V. Terzija, F. Golestaneh, and A. Roosta, "Multiobjective Dynamic Optimal Power Flow Considering Fuzzy-Based Smart Utilization of Mobile Electric Vehicles," IEEE Transactions on Industrial Informatics, vol. 12, no. 2, pp. 503-514, Apr. 2016. https://doi.org/10.1109/TII.2016.2518484

L. Chen et al., "A Novel State-of-Charge Estimation Method of Lithium-Ion Batteries Combining the Grey Model and Genetic Algorithms," IEEE Transactions on Power Electronics, vol. 33, no. 10, pp. 8797-8807, Oct. 2018. https://doi.org/10.1109/TPEL.2017.2782721

A. Houbbadi, R. Trigui, S. Pelissier, E. Redondo-Iglesias, and T. Bouton, "Optimal Scheduling to Manage an Electric Bus Fleet Overnight Charging," Energies, vol. 12, no. 14, Jan. 2019, Art. no. 2727. https://doi.org/10.3390/en12142727

S.-X. Yang, X.-F. Wang, W.-Q. Ning, and X. Jia, "An optimization model for charging and discharging battery-exchange buses: Consider carbon emission quota and peak-shaving auxiliary service market," Sustainable Cities and Society, vol. 68, May 2021, Art. no. 102780. https://doi.org/10.1016/j.scs.2021.102780

M. Elyaqouti, S. Hakim, S. Farhat, L. Bouhouch, and A. Ihlal, "Implementation in Arduino of MPPT Using Variable Step Size P&O Algorithm in PV Installations," International Journal of Power Electronics and Drive Systems, vol. 8, no. 1, pp. 434-443, Mar. 2017. https://doi.org/10.11591/ijpeds.v8.i1.pp434-443

J. Ahmed and Z. Salam, "An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency," Applied Energy, vol. 150, pp. 97-108, Jul. 2015. https://doi.org/10.1016/j.apenergy.2015.04.006

P. Sivakumar, A. Abdul Kader, Y. Kaliavaradhan, and M. Arutchelvi, "Analysis and enhancement of PV efficiency with incremental conductance MPPT technique under non-linear loading conditions," Renewable Energy, vol. 81, pp. 543-550, Sep. 2015. https://doi.org/10.1016/j.renene.2015.03.062

K. Ishaque, Z. Salam, and G. Lauss, "The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions," Applied Energy, vol. 119, pp. 228-236, Apr. 2014. https://doi.org/10.1016/j.apenergy.2013.12.054

M. A. Enany, M. A. Farahat, and A. Nasr, "Modeling and evaluation of main maximum power point tracking algorithms for photovoltaics systems," Renewable and Sustainable Energy Reviews, vol. 58, pp. 1578-1586, May 2016. https://doi.org/10.1016/j.rser.2015.12.356

S. Selvan, P. Nair, and Umayal, "A review on photo voltaic MPPT algorithms," International Journal of Electrical and Computer Engineering, vol. 6, no. 2, pp. 567-582, Apr. 2016. https://doi.org/10.11591/ijece.v6i2.9204

Z. Haizhou, "Modeling of lithium-ion battery for charging/discharging characteristics based on circuit model," International Journal of Online Engineering, vol. 13, no. 6, pp. 86-95, 2017. https://doi.org/10.3991/ijoe.v13i06.6799

M. F. Samadi, S. M. M. Alavi, and M. Saif, "An electrochemical model-based particle filter approach for Lithium-ion battery estimation," in IEEE 51st IEEE Conference on Decision and Control, Maui, HI, USA, Dec. 2012, pp. 3074-3079. https://doi.org/10.1109/CDC.2012.6426009

L. Liu, J. Zhu, and L. Zheng, "An Effective Method for Estimating State of Charge of Lithium-Ion Batteries Based on an Electrochemical Model and Nernst Equation," IEEE Access, vol. 8, pp. 211738-211749, 2020. https://doi.org/10.1109/ACCESS.2020.3039783

Downloads

How to Cite

[1]
N. A. Zainurin, S. A. B. Anas, and R. S. S. Singh, “A Review of Battery Charging - Discharging Management Controller: A Proposed Conceptual Battery Storage Charging – Discharging Centralized Controller”, Eng. Technol. Appl. Sci. Res., vol. 11, no. 4, pp. 7515–7521, Aug. 2021.

Metrics

Abstract Views: 139
PDF Downloads: 125

Metrics Information
Bookmark and Share