http://iet.metastore.ingenta.com
1887

Multi-objective unit commitment problem with reliability function using fuzzified binary real coded artificial bee colony algorithm

Multi-objective unit commitment problem with reliability function using fuzzified binary real coded artificial bee colony algorithm

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Generation, Transmission & Distribution — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This study proposes a novel methodology that employs fuzzified binary real coded artificial bee colony (ABC) algorithm for solving multi-objective unit commitment problem. On solving unit commitment problem, the proposed binary coded ABC algorithm finds the ON/OFF status of the generating units whereas the economic dispatch is solved using the real coded ABC. Here, three conflicting functions such as fuel cost, emission and reliability level of the system are considered. These functions are formulated as a single objective optimisation problem using the fuzzy set theory. Also, the fuzzy membership design variables are tuned using real coded ABC thereby requirement of expertise for setting these variables are eliminated. The proposed method is validated on six unit system, IEEE 30 bus system, ten unit system, 40 unit system and IEEE RTS 24 bus system. The effectiveness of the proposed technique is demonstrated by comparing its performance with other methods reported in the literature.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
      • Karaboga D.: ‘An idea based on honey bee swarm for numerical optimization’. Technical Report TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005.
    14. 14)
    15. 15)
      • Li, Z., Chen, X., Yu, K., Sun, Y., Liu, H.: `A hybrid particle swarm optimization approach for distribution network reconfiguration problem', Power and Energy Society General Meeting – Conversion and Delivery of Electrical Energy in the 21st Century, IEEE, 2008, p. 1–7.
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
    23. 23)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2012.0193
Loading

Related content

content/journals/10.1049/iet-gtd.2012.0193
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address