Intelligent hurricane resilience enhancement of power distribution systems via deep reinforcement learning

2021 ◽  
Vol 285 ◽  
pp. 116355
Author(s):  
Nariman L. Dehghani ◽  
Ashkan B. Jeddi ◽  
Abdollah Shafieezadeh
2012 ◽  
Vol E95.B (6) ◽  
pp. 1990-1996
Author(s):  
Seiya ABE ◽  
Sihun YANG ◽  
Masahito SHOYAMA ◽  
Tamotsu NINOMIYA ◽  
Akira MATSUMOTO ◽  
...  

Mathematics ◽  
2018 ◽  
Vol 6 (9) ◽  
pp. 158
Author(s):  
Farzaneh Pourahmadi ◽  
Payman Dehghanian

Allocation of the power losses to distributed generators and consumers has been a challenging concern for decades in restructured power systems. This paper proposes a promising approach for loss allocation in power distribution systems based on a cooperative concept of game-theory, named Shapley Value allocation. The proposed solution is a generic approach, applicable to both radial and meshed distribution systems as well as those with high penetration of renewables and DG units. With several different methods for distribution system loss allocation, the suggested method has been shown to be a straight-forward and efficient criterion for performance comparisons. The suggested loss allocation approach is numerically investigated, the results of which are presented for two distribution systems and its performance is compared with those obtained by other methodologies.


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