DocumentCode
560857
Title
A solution to dynamic economic dispatch with prohibited zones using a Hopfield neural network
Author
Benhamida, Farid ; Bendaoued, Abdelber ; Medles, Karim ; Ayad, Abdelghani ; Tilmatine, Amar
Author_Institution
Dept. of Electr. Eng., UDL Univ., Sidi Belabbes, Algeria
fYear
2011
fDate
1-4 Dec. 2011
Abstract
A solution to the dynamic economic dispatch (DED) for 24-hour dispatch intervals (one day) with practical constraints using a Hopfield neural network (HNN) is proposed in this paper. The DED in this paper must satisfy the following constrained the system load demand, the spinning reserve capacity, the ramping rate limits and finally the prohibited operating zone. The feasibility of the proposed approach is demonstrated using two power systems, and it is compared with the other methods in terms of solution quality and computation efficiency.
Keywords
Hopfield neural nets; power engineering computing; power generation dispatch; power generation economics; Hopfield neural network; dynamic economic dispatch; power systems; prohibited zones; ramping rate; spinning reserve capacity; system load demand; Economics; Generators; Genetic algorithms; Neurons; Power system dynamics; Propagation losses; Spinning;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Electronics Engineering (ELECO), 2011 7th International Conference on
Conference_Location
Bursa
Print_ISBN
978-1-4673-0160-2
Type
conf
Filename
6140224
Link To Document