A Hybrid Chaotic MPA-PID Controller For Voltage Profile Enhancement in Solid State Transformer Connected Pantograph System For Charging of Electric Bus

dinakar yeddu, Loveswara Rao B

Abstract


The article proposes a novel design of DC pantograph system charging of electric buses using a solid-state transformer and also proposes an efficient Marine predator’s algorithm optimizer with a novel chaotic behaviour to optimize the gains in the PID controller of the DC-DC forward converter voltage control. The Ch-MPA is based on a circle map of chaotic type to increase convergence and achieve global minima. The results are compared with other algorithms, like PSOPID and SAPID controllers. Transient response analysis, frequency response (Bode) analysis, and performance indices analysis were carried out on the Simulink/MATLAB platform. The simulation results of the proposed approaches are effective, and Ch-MPAPID and MPAPID for the DC-DC forward converter voltage control demonstrated superior performance

Keywords


solid state transformer, Pantograph system, Electric Bus, DC -DC forward converter voltage control, PID ,chaotic Marine Predators Algorithm optimizer ,transient response

Full Text:

PDF

References


X. Liu, ‘‘Dynamic response characteristics of fast charging stationEVs on interaction of multiple vehicles,’’ IEEE Access, vol. 8, pp. 42404–42421, 2020.

. H. Jing, F. Jia, and Z. Liu, ‘‘Multi-objective optimal control allocation for an over-actuated electric vehicle,’’ IEEE Access, vol. 6, pp. 4824–4833,2018.

. G. Li, Q. Sun, L. Boukhatem, J. Wu, and J. Yang, ‘‘Intelligent vehicle to-vehicle charging navigation for mobile electric vehicles via VANET-based communication,’’ IEEE Access, vol. 7, pp. 170888–170906, 2019.

. H. Liang, Z. Lee, and G. Li, ‘‘A calculation model of charge and discharge capacity of electric vehicle cluster based on trip chain,’’ IEEE Access,vol. 8, pp. 142026–142042, 2020.

. S. Liu, D. Xin, L. Yang, J. Li, and L. Wang, ‘‘A hierarchical V2G/G2 V energy management system for electric-drive-reconstructed onboard converter,’’ IEEE Access, vol. 8, pp. 198201–198213, 2020.

. D. T. Hoang, P. Wang, D. Niyato, and E. Hossain, ‘‘Charging and discharging of plug-in electric vehicles (PEVs) in vehicle-to-grid (V2G) systems:Acyber insurance-based model,’’ IEEEAccess, vol. 5, pp. 732–754,2017.

. J. W. Kolar and G. Ortiz, “Solid-State-Transformers: Key Components of Future Traction and Smart Grid Systems,” in Proc. ofthe InternationalPower Electronics Conf. (IPEC), May 2014.

. J. E. Huber and J. W. Kolar, “Volume/Weight/Cost Comparison of a 1MVA 10 kV/400 V Solid-State against a Conventional Low-Frequency Distribution Transformer,” in Proc. of the Energy Conversion Congr.and Expo. (ECCE), Sep. 2014, pp. 4545–4552.

. A. Q. Huang, M. L. Crow, G. T. Heydt, J. P. Zheng, and S. J. Dale, “The Future Renewable Electric Energy Delivery and Management (FREEDM) System: The Energy Internet,” Proc. IEEE, vol.99,no.1,pp.133–148, Jan. 2011.

. M. Steiner and H. Reinold, “Medium Frequency Topology in Railway Applications,” in Proc. of the European Conf. Power Electronics and Applications (EPE), Sep. 2007, pp. 1–10.

. S. Ekinci, B. Hekimo?lu, S. Kaya, "Tuning of PID controller for AVR system using salp swarm algorithm", in 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), Malatya, Turkey, 2018, pp. 424-429.

. S. Duman, N. Yörükeren, ?. H. Alta?, "Gravitational search algorithm for determining controller parameters in an automatic voltage regulator system", Turk J Elec Eng & Comp Sci, vol. 24, no. 4, pp.2387-2400, 2016.

. M. J. Blondin, J. Sanchis, P. Sicard, J. M. Herrero, "New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder-Mead algo-rithm", Appl. Soft Comput., vol. 62, pp. 216-229, 2018.

. A. Jalilvand, H. Vahedi, A. Bayat, "Optimal tuning of the PID controller for a buck converter using bacterial foraging algorithm", in 2010 International Conference on Intelligent and Advanced Sys-tems (ICIAS), Manila, Philippines, 2010, pp. 1-5

. M. Yaqoob, Z. Jianhua, F. Nawaz, T. Ali, U. Saeed, R. Qaisrani, "Optimization in transient response of DC-DC buck converter using firefly algorithm", in 2014 16th International Conference on Harmonics and Quality of Power (ICHQP), Bucharest, Romania, 2014, pp. 347-51. [CrossRef]

. O.T. Altinoz, H. Erdem, "Evaluation function comparison of particle swarm optimization for buck converter", in 2010 International Symposium on Power Electronics, Electrical Drives, Automationand Motion (SPEEDAM), Pisa, Italy, 2010, pp. 798-802

. K.D. Wilkie, M.P. Foster, D.A. Stone, C.M. Bingham, "Hardware-inthe-loop tuning of a feedback controller for a buck converter using a GA", in 2008 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Ischia, Italy,2008, pp. 680-4.

. B. Hekimo?lu, S. Ekinci, S. Kaya, "Optimal PID controller design of DC-DC buck converter using whale optimization algorithm", in 2018 International Conference on Artificial Intelligence and DataProcessing (IDAP), Malatya, Turkey, 2018, pp. 473-8

.R. Caponetto, L. Fortuna, S. Fazzino, and M. G. Xibilia, ‘‘Chaotic sequences to improve the performance of evolutionary algorithms,’’ IEEETrans. Evol. Comput., vol. 7, no. 3, pp. 289–304, Jun. 2003.

.N. S. Jaddi and S. Abdullah, ‘‘Optimization of neural network using kidney-inspired algorithm with control of filtration rate and chaotic map for real-world rainfall forecasting,’’ Eng. Appl. Artif. Intell., vol. 67, pp. 246–259, Jan. 2018.

G. I. Sayed, G. Khoriba, and M. H. Haggag, ‘‘A novel chaotic salp swarm algorithm for global optimization and feature selection,’’ Appl. Intell., vol. 48, no. 10, pp. 3462–3481, 2018.

. Faramarzi, A., Heidarinejad, M., Mirjalili, S. and Gandomi, A.H., 2020. Marine Predators Algorithm: A nature-inspired metaheuristic. Expert systems with applications, 152, p.113377.

. Hannan, Mahammad A., Pin Jern Ker, Molla S. Hossain Lipu, Zhen Hang Choi, M. Safwan Abd Rahman, Kashem M. Muttaqi, and Frede Blaabjerg. "State of the art of solid-state transformers: Advanced topologies, implementation issues, recent progress and improvements." Ieee Access 8 (2020): 19113-19132.

Atkar, Dipesh, Pradyumn Chaturvedi, H. M. Suryawanshi, Pratik Nachankar, Dharmendra Yadeo, and Sai Krishna. "Solid state transformer for electric vehicle charging infrastructure." In 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020), pp. 1-6. IEEE, 2020.

Burkard, J. and Biela, J., 2018, September. Hybrid transformers for power quality enhancements in distribution grids-comparison to alternative concepts. In NEIS 2018; Conference on Sustainable Energy Supply and Energy Storage Systems (pp. 1-6). VDE.

.https://www.pespublications.ee.ethz.ch/uploads/tx_ethpublications/workshop_publications/5_10kV-SiC-MOSFETs-for-Solid-State-Transformers_FINAL_Guillod.pdf,24th may,2019.

. Ortiz, G., Biela, J. and Kolar, J.W., 2010, November. Optimized design of medium frequency transformers with high isolation requirements. In IECON 2010-36th Annual Conference on IEEE Industrial Electronics Society (pp. 631-638). IEEE.

. Huber, J.E. and Kolar, J.W., 2017. Applicability of solid-state transformers in today’s and future distribution grids. IEEE Transactions on Smart Grid, 10(1), pp.317-326.

*

. Clairand, Jean-Michel, Paulo Guerra-Terán, Xavier Serrano-Guerrero, Mario González-Rodríguez, and Guillermo Escrivá-Escrivá. "Electric vehicles for public transportation in power systems: A review of methodologies." Energies 12, no. 16 (2019): 3114.

.MATLAB,Version 9.70.1190202 (R2022A):The mathworks Inc:Natick,MA ,USA,2022.

. Humphries, N. E., Queiroz, N., Dyer, J. R. M., Pade, N. G., Musyl, M. K., Schaefer, K. M., Fuller, D. W., Brunnschweiler, J. M., Doyle, T. K., Houghton, J. D. R., Hays, G. C., Jones, C. S., Noble, L. R., Wearmouth, V. J., Southall, E. J., & Sims, D. W. (2010). Environmental context explains Lévy and Brownian movement patterns of marine predators.Nature,465(7301),1066.

Bartumeus, F., Catalan, J., Fulco, U. L., Lyra, M. L., & Viswanathan, G. M. (2002). Optimizing the encounter rate in biological interactions: Lévy versus Brownian strategies. Physical Review Letters, 88(9), 097901.

. Faramarzi, A., Heidarinejad, M., Mirjalili, S. and Gandomi, A.H., 2020. Marine Predators Algorithm: A nature-inspired metaheuristic. Expert systems with applications, 152, p.113377.

Too, J. and Abdullah, A.R., 2020. Chaotic atom search optimization for feature selection. Arabian Journal for Science and Engineering, 45(8), pp.6063-6079.

. R.C. Dorf, R.H. Bishop, "Modern Control Systems," 5th ed., Prentice Hall, Upper Saddle River, NJ, USA, 2010.

. S. Ekinci, A. Demiroren, "PSO based PSS design for transient stabil-ity enhancement", IU-JEEE, vol. 15, no. 1, pp. 1855-62, 2015




DOI (PDF): https://doi.org/10.20508/ijrer.v13i2.13894.g8763

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE in 2025; 

h=35,

Average citation per item=6.59

Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43

Category Quartile:Q4