Robust electrical parameter extraction methodology based on Interior Search Optimization Algorithm applied to supercapacitor

ISA Transactions - Tập 105 - Trang 86-97 - 2020
Ahmed Fathy1,2, Hegazy Rezk3,4
1Electrical Engineering Department, Faculty of Engineering, Jouf University, Sakaka, Kingdom of Saudi Arabia
2Electrical Power and Machine Department, Faculty of Engineering, Zagazig University, Egypt
3College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Kingdom of Saudi Arabia
4Electrical Engineering Department, Faculty of Engineering, Minia University, Egypt

Tài liệu tham khảo

Rezk, 2019, Improving the environmental impact of palm kernel shell through maximizing its production of hydrogen and syngas using advanced artificial intelligence, Sci Total Environ, 658, 1150, 10.1016/j.scitotenv.2018.12.284 Nassef, 2019, Maximizing SOFC performance through optimal parameters identification by modern optimization algorithms, Renew Energy, 138, 458, 10.1016/j.renene.2019.01.072 Fathy, 2019, Robust Hydrogen-consumption-minimization strategy based salp swarm algorithm for energy management of fuel cell/supercapacitor/batteries in highly fluctuated load condition, Renew Energy, 139, 147, 10.1016/j.renene.2019.02.076 Kumar, 2016, A hybrid optimization-based approach for parameter estimation and investigation of fractional dynamics in ultracapacitors, Circuits Systems Signal Process, 35, 1949, 10.1007/s00034-016-0254-2 Zhang, 2018, A review of supercapacitor modeling, estimation, and applications: A control/management perspective, Renew Sustain Energy Rev, 81, 1868, 10.1016/j.rser.2017.05.283 Zubieta, 2000, Characterization of double-layer capacitors for power electronics applications, IEEE Trans Ind Appl, 36, 199, 10.1109/28.821816 Sun, 2018, Online model parameter identification for supercapacitor based on weighting bat algorithm, Int J Electron Commun (AEÜ), 87, 113, 10.1016/j.aeue.2018.02.015 Drummond R, Howey DA, Duncan SR. Parameter estimation of an electrochemical supercapacitor model. In: European control conference. Aalborg, Denmark. Zhang, 2014, Online parameter identification of ultracapacitor models using the extended Kalman filter, Energies, 7, 3204, 10.3390/en7053204 Eddahech, 2013, Online parameter identification for real-time supercapacitor performance estimation in automotive applications, Electr Power Energy Syst, 51, 162, 10.1016/j.ijepes.2013.03.001 Drummond, 2017, Circuit synthesis of electrochemical supercapacitor models, J Energy Storage, 10, 48, 10.1016/j.est.2016.11.003 Xu, 2018, A novel equivalent-circuit model and parameter identification method for supercapacitor performance, Energy Procedia, 145, 133, 10.1016/j.egypro.2018.04.022 Spyker, 2000, Classical equivalent circuit parameters for a double-layer capacitor, IEEE Trans Aerosp Electron Syst, 36, 829, 10.1109/7.869502 Zhang, 2011, Modeling and characterization of supercapacitors for wireless sensor network applications, J Power Sources, 196, 4128, 10.1016/j.jpowsour.2010.11.152 Eddahech, 2014, Modeling and adaptive control for supercapacitor in automotive applications based on artificial neural networks, Electr Power Syst Res, 106, 134, 10.1016/j.epsr.2013.08.016 Faranda, 2010, A new parameters identification procedure for simplified double layer capacitor two-branch model, Electr Power Syst Res, 80, 363, 10.1016/j.epsr.2009.10.024 Gandomi, 2014, Interior search algorithm (ISA): A novel approach for global optimization, ISA Trans, 53, 1168, 10.1016/j.isatra.2014.03.018 Mirjalili, 2014, Grey wolf optimizer, Adv Eng Softw, 69, 46, 10.1016/j.advengsoft.2013.12.007 Mirjalili, 2015, The ant lion optimizer, Adv Eng Softw, 83, 80, 10.1016/j.advengsoft.2015.01.010 Holland, 1975 Mirjalili, 2016, The whale optimization algorithm, Adv Eng Softw, 95, 51, 10.1016/j.advengsoft.2016.01.008 Mirjalili, 2015, Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm, Knowl-Based Syst, 89, 228, 10.1016/j.knosys.2015.07.006 Zhao, 2019, Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm, Neural Comput Appl Wang, 2019, Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine, Appl Energy, 254, 10.1016/j.apenergy.2019.113707 Wang, 2019, Rule-based energy management strategy of a lithium-ion battery, supercapacitor and PEM fuel cell system, Energy Procedia, 158, 2555, 10.1016/j.egypro.2019.02.003 Kamel, 2019, Energy management of a DC microgrid composed of photovoltaic/fuel cell/battery/supercapacitor systems, Batteries, 5, 1, 10.3390/batteries5030063 Rajagopalan, 2019, Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints, Int Trans Electr Energy Syst, 1 Bentouati, 2017, Interior search algorithm for optimal power flow with non-smooth cost functions, Cogent Eng, 4, 1, 10.1080/23311916.2017.1292598 Gandomi AH, Roke DA. Engineering optimization using interior search algorithm. In: IEEE symposium on swarm intelligence. Orlando, FL, USA. Gandomi, 2017, Retaining wall optimization using interior search algorithm with different bound constraint handling, Int J Numer Anal Methods Geomech, 41, 1304, 10.1002/nag.2678