ABSTRACT
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
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 MaĆ¢roufi. "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
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