Energy Storage Application Strategy on DC Electric Railroad System using a Novel Railroad Analysis Algorithm

There is an increasing interest in research to help overcome the energy crisis that has been focused on energy storage applications in various parts of power systems. Energy storage systems are good at enhancing the reliability or improving the efficiency of a power system by creating a time gap between the generation and the consumption of power. As a contribution to the various applications of storage devices, this paper describes a novel algorithm that determines the power and storage capacity of selected energy storage devices in order to improve upon railroad system efficiency. The algorithm is also demonstrated by means of simulation studies for the Korean railroad lines now in service. A part of this novel algorithm includes the DC railroad powerflow algorithm that considers the mobility of railroad vehicles, which is necessary because the electric railroad system has a distinct distribution system where the location and power of vehicles are not fixed values. In order to derive a more accurate powerflow result, this algorithm has been designed to consider the rail voltage as well as the feeder voltage for calculating the vehicle voltage. By applying the resultant control scheme, the charging or discharging within a specific voltage boundary, energy savings and a substation voltage stabilization using storage devices are achieved at the same time.

[1]  Bih-Yuan Ku,et al.  Solution of DC power flow for nongrounded traction systems using chain-rule reduction of ladder circuit Jacobian matrices , 2002, ASME/IEEE Joint Railroad Conference.

[2]  Timothy C. Green,et al.  Intermittent renewable generation and the cost of maintaining power system reliability , 2008 .

[3]  D. Sutanto,et al.  Storage power flow controller using battery storage , 2003 .

[4]  R.W. De Doncker,et al.  Analysis and evaluation of charge balancing circuits on performance, reliability and lifetime of supercapacitor systems , 2003, 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003..

[5]  Ehab F. El-Saadany,et al.  Islanding detection of inverter-based distributed generation , 2006 .

[6]  M. R. Irving,et al.  Iterative techniques for the solution of complex DC-rail-traction systems including regenerative braking , 1996 .

[7]  Bent Sørensen,et al.  Renewable Energy Conversion, Transmission, and Storage , 2007 .

[8]  J. W. Sa,et al.  Current status of the KSTAR construction , 2007 .

[9]  R. Barrero,et al.  Energy savings in public transport , 2008, IEEE Vehicular Technology Magazine.

[10]  Janusz Bialek,et al.  A combinational mechanism for generation capacity and network reinforcement planning , 2007 .

[11]  José Manuel Andújar Márquez,et al.  A Methodology for Sizing Backup Fuel-Cell/Battery Hybrid Power Systems , 2010, IEEE Transactions on Industrial Electronics.

[12]  Yong-Su Na,et al.  A strategic plan of Korea for developing fusion energy beyond ITER , 2008 .

[13]  Xinping Cao,et al.  Electromagnetic Energy Harvesting Circuit With Feedforward and Feedback DC–DC PWM Boost Converter for Vibration Power Generator System , 2007, IEEE Transactions on Power Electronics.

[14]  Benoit Robyns,et al.  Control and Performance Evaluation of a Flywheel Energy-Storage System Associated to a Variable-Speed Wind Generator , 2006, IEEE Transactions on Industrial Electronics.

[15]  Timothy M. Weis,et al.  The utility of energy storage to improve the economics of wind–diesel power plants in Canada , 2008 .

[16]  Frano Barbir,et al.  REGENERATIVE FUEL CELLS FOR ENERGY STORAGE: EFFICIENCY AND WEIGHT TRADE-OFFS , 2005 .

[17]  Meng-Hui Wang,et al.  Transient stability control of multimachine power systems using flywheel energy injection , 2005 .

[18]  Regina Lamedica,et al.  Experimental assessment of energy saving due to trains regenerative braking in an electrified subway line , 1997, 1997 IEEE Industrial and Commercial Power Systems Technical Conference. Conference Record.

[19]  Brian K. Johnson,et al.  Using a superconducting magnetic energy storage coil to improve efficiency of a gas turbine powered high speed rail locomotive , 2001 .

[20]  A. R. Wallace,et al.  Optimal power flow evaluation of distribution network capacity for the connection of distributed generation , 2005 .

[21]  G. Joos,et al.  A Stochastic Optimization Approach to Rating of Energy Storage Systems in Wind-Diesel Isolated Grids , 2009, IEEE Transactions on Power Systems.

[22]  Yong Cheol Kang,et al.  Estimation of Delta Winding Current and Its Application to a Compensated-Current-Differential Relay for a Y-∆ Transformer , 2010 .

[23]  Rik W. De Doncker,et al.  Analysis and evaluation of charge balancing circuits on performance, reliability and lifetime of supercapacitor systems , 2003, 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003..

[24]  Hong-Kyu Kim,et al.  Analysis of Dielectric Breakdown of Hot SF 6 Gas in a Gas Circuit Breaker , 2010 .

[25]  H.L. Hess,et al.  Modeling and analysis of a flywheel energy storage system for Voltage sag correction , 2006, IEEE Transactions on Industry Applications.

[26]  G. Venkataramanan,et al.  Dynamic Voltage Restorer Utilizing a Matrix Converter and Flywheel Energy Storage , 2007, 2007 IEEE Industry Applications Annual Meeting.

[27]  Roy Billinton,et al.  Reliability evaluation of generating systems containing wind power and energy storage , 2009 .