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Friday, March 15, 2024

RENEWABLE ENERGY SOURCES INTEGRATION AND CONTROL IN RAILWAY MICROGRID

ABSTRACT

 The traffic rail increase implies an increase in the electric energy consumption. Hybridizing the railway substations with hybrid energy sources based on renewable energy sources and storage units connected to a DC bus may be a solution to contribute to the partial independence of energy producers in the sector of traffic rail. A smart controlis highly recommended in order to avoid disturbing the traffic or the energy quality of railway lines. This paper proposes a reversible, self-adaptive, autonomous and intelligent distributed generator connected to the catenary thanks to the DC bus distributed control by the multi-agent system. The results analysis has shown that the proposed control architecture can be a solution to face the issues related to the traffic railway issues.

INDEX TERMS

1.      Railway microgrid

2.      Braking and tracking energy

3.      Renewable energy sources

4.      Penalty costs

5.      Multi agent system

6.      Jade

7.       MacsimJX

8.      Matlab Simulink

BLOCK DIAGRAM:


Fig. 1. HSS architecture

 EXPECTED SIMULATION RESULTS:


Fig. 2. The considered driving cycle


Fig. 3. Resultant current from tracking and braking process


Fig.4. Current generated by RES


Fig. 5. Battery DC-DC converter output current


Fig. 6. The line current


Fig. 7. Battery SOC evolution


Fig. 8. Subscribed power gain


Fig. 9. Subscribed power exceeding removal


Fig. 10. Penalty cost removal


Fig. 11. DC bus voltage evolution

CONCLUSION

 

This paper deals the DEM by MAS in the railway microgrid with HSS based on HPGS to meet the limitations of rail transportation systems in terms of energy saving. The HPGS consists of a multi-source system with decentralized energy sources with different capacities and a different generation, therefore, judicious use and integration of each element were respected. Reducing the subscribed power, eliminating the voltage drop in the line due to the acceleration and leading to the subscribed power exceeding and avoiding the voltage rise due to the deceleration by consuming the total of the regenerative energy not recovered by the other trains in the line, remain the main issues that should be taking into account while hybridizing the substation without modifying the existing architecture. Thereby, this paper meets the mentioned limitations and constraints by designing reversible, active, intelligent, self-adaptive, and autonomous DG connected to the catenary thanks to the distributed DC bus voltage control by MAS. It was shown the ability of the proposed control to reduce the subscribed power and to omit the subscribed power overrun by the RES generation and the storage system which is represented by the battery. The penalty costs related to the subscribed power exceeding and the RES intermittence and also to the acceleration and deceleration were suppressed, thanks to the simultaneous control of the battery with the generation of the RES. The results also showed the stability and continuity of the system thanks to the effectiveness of the proposed control.

REFERENCES

[1] R.R.Pecharroman and al, “Riding the Rails to DC Power Efficiency: Energy efficiency in dc-electrified metropolitan railways”, IEEE Electrification Magazine, vol. 2, No.3, pp. 32 – 38 , 2014

[2] Boudoudouh Soukaina, and Mohammed Maâroufi. "Smart control in a DC railway by Multi Agent System (MAS)." In Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC), International Conference on, pp. 1-6. IEEE, 2016.

[3] Hajizadeh, A., Golkar, M. A., "Intelligent power management strategy of hybrid distributed generation system", Elsevier, electrical Power and Energy systems, pp. 783-795, 2007

[4] H.Ibrahim and al “Integration of Wind Energy into Electricity Systems: Technical Challenges and Actual Solutions”, Energy proceedia, vol. 6, pp. 815_824, 2011

[5] B. Robyns and al, “Electricity production from renewables energies”, ISTE Wiley 2012.

 

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