Regenerative energy management of electric drive based on Lyapunov stability theorem
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摘要
In recent years, urban rail systems have developed drastically. In these systems, when induction electrical machine suddenly brakes, a great package of energy is produced. This package of energy can be stored in energy storage devices such as battery, ultra-capacitor and flywheel. In this paper, an electrical topology is proposed to absorb regenerative braking energy and to store it in ultracapacitor and battery.Ultra-capacitor can deliver the stored energy to DC grid and charge the battery for auxiliary applications such as lighting and cooling systems The proposed system is modeled based on large signal averaged modeling, which leads to the simplicity of calculations. The control system is based on Lyapunov stability theorem which guarantees system stability. Also, an energy management algorithm is proposed to control energy under braking and steady-state conditions. Finally,the simulation results validate the effectiveness of the proposed control and energy management system.
In recent years, urban rail systems have developed drastically. In these systems, when induction electrical machine suddenly brakes, a great package of energy is produced. This package of energy can be stored in energy storage devices such as battery, ultra-capacitor and flywheel. In this paper, an electrical topology is proposed to absorb regenerative braking energy and to store it in ultracapacitor and battery.Ultra-capacitor can deliver the stored energy to DC grid and charge the battery for auxiliary applications such as lighting and cooling systems The proposed system is modeled based on large signal averaged modeling, which leads to the simplicity of calculations. The control system is based on Lyapunov stability theorem which guarantees system stability. Also, an energy management algorithm is proposed to control energy under braking and steady-state conditions. Finally,the simulation results validate the effectiveness of the proposed control and energy management system.
In recent years, urban rail systems have developed drastically. In these systems, when induction electrical machine suddenly brakes, a great package of energy is produced. This package of energy can be stored in energy storage devices such as battery, ultra-capacitor and flywheel. In this paper, an electrical topology is proposed to absorb regenerative braking energy and to store it in ultracapacitor and battery.Ultra-capacitor can deliver the stored energy to DC grid and charge the battery for auxiliary applications such as lighting and cooling systems The proposed system is modeled based on large signal averaged modeling, which leads to the simplicity of calculations. The control system is based on Lyapunov stability theorem which guarantees system stability. Also, an energy management algorithm is proposed to control energy under braking and steady-state conditions. Finally,the simulation results validate the effectiveness of the proposed control and energy management system.
引文
[1] Erdogan N,Erden F,Kisacikoglu M(2018)A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system. J Mod Power Syst Clean Energy 6(5):555-566
[2] Xue Y,Cai B,James G et al(2014)Primary energy congestion of power systems. J Mod Power Syst Clean Energy 2(1):39-49
[3] Gonzalez-Gil A, Palacin R, Batty P(2015)Optimal energy management of urban rail systems:key performance indicators.Energy Convers Manag 90:282-291
[4] Korayem MH, Imanian A, Tourajizadeh H(2013)A novel method for simultaneous control of speed and torque of the motors of a cable suspended robot for tracking procedure. Sci Iran 20(5):1550-1565
[5] Yang Z, Yang Z, Xia H et al(2018)Brake voltage following control of supercapacitor-based energy storage systems in metro considering train operation state. IEEE Trans Ind Electron65(8):6751-6761
[6] Zhu F,Yang Z,Xia H(2018)Hierarchical control and full-range dynamic performance optimization of the supercapacitor energy storage system in urban railway. IEEE Trans Ind Electron65(8):6646-6656
[7] Aguado JA,Racero AJS.,Torre SDL(2018)Optimal operation of electric railways with renewable energy and electric storage systems. IEEE Trans Smart Grid 9(2):993-1001
[8] Sabzi S, Asadi M, Moghbelli H(2017)Review, analysis and simulation of different structures for hybrid electrical energy storages. Energy Equip Syst 5(2):115-129
[9] Moghbelli H,Sabzi S(2015)Analysis and simulation of hybrid electric energy storage(HEES)systems for high power applications. In:Proceedings of ASEE annual conference and exposition, Seattle,USA, 26-28 June 2015,pp 1-13
[10] Khalilnejad A, Sundararajan A, Sarwat AI(2018)Optimal design of hybrid wind/photovoltaic electrolyzer for maximum hydrogen production using imperialist competitive algorithm.J Mod Power Syst Clean Energy 6(1):40-49
[11] Rufer A, Barrade P, Hotellier D(2004)Power-electronic interface for a supercapacitor-based energy-storage substation in DC-transportation networks. EPE J 14(4):43-49
[12] Lhomme W,Delarue P,Barrade P(2005)Design and control of a supercapacitor storage system for traction applications. In:Proceedings of 14th IAS annual meeting, Hong Kong, China,2-6 October 2005,pp 2013-2020
[13] Zhang J,Lai J-S,Kim R et al(2007)High-power density design of a soft-switching high-power bidirectional DC-DC Converter.IEEE Trans Power Electron 22(4):1145-1153
[14] Grbovic PJ,Delarue P,Moigne PL et al(2010)A bidirectional three-level DC-DC converter for the ultracapacitor applications.IEEE Trans Ind Electron 57(10):3415-3430
[15] Sabzi S,Asadi M, Moghbelli H(2016)Design and analysis of Lyapunov function based controller for DC-DC boost converter.Indian J Sci Technol 9(48):1-6
[16] Asadi M, Jalilian A(2012)Three-level NPC inverter control system of hybrid active power filter by modulation ratios of switching functions. In:Proceedings of 17th conference on electrical power distribution networks(EPDC), Tehran, Iran,2-3 May 2012,pp 1-8
[17] Erickson RW, Maksimovic D(1997)Fundamentals of power electronics. Springer,Heidelberg
[18] Fadil HE, Giri F, Guerrero JM et al(2014)Modeling and nonlinear control of a fuel cell/supercapacitor hybrid energy storage system for electric vehicles. IEEE Trans Veh Technol63(7):3011-3018
[19] Kellett CM(2014)A compendium of comparison function results. Math Control Signals Syst 26(3):339-374
[20] Cheng G, Luo X, Li L(2012)The bounds of the smallest and largest eigenvalues for rank-one modification of the Hermitian eigenvalue problem. Appl Math Lett 25(9):1191-1196
[2] Xue Y,Cai B,James G et al(2014)Primary energy congestion of power systems. J Mod Power Syst Clean Energy 2(1):39-49
[3] Gonzalez-Gil A, Palacin R, Batty P(2015)Optimal energy management of urban rail systems:key performance indicators.Energy Convers Manag 90:282-291
[4] Korayem MH, Imanian A, Tourajizadeh H(2013)A novel method for simultaneous control of speed and torque of the motors of a cable suspended robot for tracking procedure. Sci Iran 20(5):1550-1565
[5] Yang Z, Yang Z, Xia H et al(2018)Brake voltage following control of supercapacitor-based energy storage systems in metro considering train operation state. IEEE Trans Ind Electron65(8):6751-6761
[6] Zhu F,Yang Z,Xia H(2018)Hierarchical control and full-range dynamic performance optimization of the supercapacitor energy storage system in urban railway. IEEE Trans Ind Electron65(8):6646-6656
[7] Aguado JA,Racero AJS.,Torre SDL(2018)Optimal operation of electric railways with renewable energy and electric storage systems. IEEE Trans Smart Grid 9(2):993-1001
[8] Sabzi S, Asadi M, Moghbelli H(2017)Review, analysis and simulation of different structures for hybrid electrical energy storages. Energy Equip Syst 5(2):115-129
[9] Moghbelli H,Sabzi S(2015)Analysis and simulation of hybrid electric energy storage(HEES)systems for high power applications. In:Proceedings of ASEE annual conference and exposition, Seattle,USA, 26-28 June 2015,pp 1-13
[10] Khalilnejad A, Sundararajan A, Sarwat AI(2018)Optimal design of hybrid wind/photovoltaic electrolyzer for maximum hydrogen production using imperialist competitive algorithm.J Mod Power Syst Clean Energy 6(1):40-49
[11] Rufer A, Barrade P, Hotellier D(2004)Power-electronic interface for a supercapacitor-based energy-storage substation in DC-transportation networks. EPE J 14(4):43-49
[12] Lhomme W,Delarue P,Barrade P(2005)Design and control of a supercapacitor storage system for traction applications. In:Proceedings of 14th IAS annual meeting, Hong Kong, China,2-6 October 2005,pp 2013-2020
[13] Zhang J,Lai J-S,Kim R et al(2007)High-power density design of a soft-switching high-power bidirectional DC-DC Converter.IEEE Trans Power Electron 22(4):1145-1153
[14] Grbovic PJ,Delarue P,Moigne PL et al(2010)A bidirectional three-level DC-DC converter for the ultracapacitor applications.IEEE Trans Ind Electron 57(10):3415-3430
[15] Sabzi S,Asadi M, Moghbelli H(2016)Design and analysis of Lyapunov function based controller for DC-DC boost converter.Indian J Sci Technol 9(48):1-6
[16] Asadi M, Jalilian A(2012)Three-level NPC inverter control system of hybrid active power filter by modulation ratios of switching functions. In:Proceedings of 17th conference on electrical power distribution networks(EPDC), Tehran, Iran,2-3 May 2012,pp 1-8
[17] Erickson RW, Maksimovic D(1997)Fundamentals of power electronics. Springer,Heidelberg
[18] Fadil HE, Giri F, Guerrero JM et al(2014)Modeling and nonlinear control of a fuel cell/supercapacitor hybrid energy storage system for electric vehicles. IEEE Trans Veh Technol63(7):3011-3018
[19] Kellett CM(2014)A compendium of comparison function results. Math Control Signals Syst 26(3):339-374
[20] Cheng G, Luo X, Li L(2012)The bounds of the smallest and largest eigenvalues for rank-one modification of the Hermitian eigenvalue problem. Appl Math Lett 25(9):1191-1196