Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Optimisation framework for development of cost-effective monitoring in distribution networks

Optimisation framework for development of cost-effective monitoring in distribution networks

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 presents a novel optimisation methodology, optimal placement of monitors (OPMPower), for optimal device/monitor placement in distribution networks. OPMPower is developed based on gradient search and particle swarm optimisation. The proposed method integrates network topology into search process via spanning trees and uses the historical experience for search guidance. The method is particularly suited for optimal placement problems in power systems. The application is illustrated on the problem of optimal monitor placement for estimation of voltage unbalance in a section of existing UK distribution network and in a generic distribution network. It is demonstrated that the proposed methodology outperforms generic integer optimisation algorithms which are widely used for optimal placement problems in the literature, for example genetic algorithms.

References

    1. 1)
    2. 2)
      • 13. Monticelli, A., Wu, F.F.: ‘Network observability: theory’, IEEE Power Eng. Rev., 1985, PER-5, (5), pp. 3233.
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
      • 18. IEC 61000-4-30:2003: ‘Testing and measurement techniques – power quality measurement methods’, 2003.
    9. 9)
    10. 10)
    11. 11)
    12. 12)
      • 11. Zhu, J.: ‘Power systems applications of graph theory’ (Nova Science Pub. Inc., 2009).
    13. 13)
    14. 14)
    15. 15)
      • 19. Liao, H.L., Ji, Z., Wu, Q.H.: ‘A novel genetic particle-pair optimizer for vector quantization in image coding’. Proc. IEEE Congress On Evolutionary Computation, Hongkong, 2008, pp. 708713.
    16. 16)
      • 14. Mori, H.: ‘A GA-based method for optimizing topological observability index in electric power networks’. Proc. IEEE Conf. Evolutionary Computation, Orlando, FL, 1994, pp. 565568.
    17. 17)
    18. 18)
      • 15. Mori, H., Saito, M.: ‘A hybrid approach of parallel tabu search and ordinal optimization to meter placement for improving topological observability’. Proc. Int. Conf. on Power System Technology, Singapore, 2004, pp. 963968.
    19. 19)
      • 17. EN 50160:2004: ‘Voltage disturbances standard EN 50160 – voltage characteristics in public distribution systems’, 2004.
    20. 20)
    21. 21)
      • 16. Lglesias, J.G., Arlt, D., Bartak, G., et al: ‘Economic framework for power quality’ (JWG CIGRE-CIRED C4.107, 2011).
    22. 22)
    23. 23)
    24. 24)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2015.0757
Loading

Related content

content/journals/10.1049/iet-gtd.2015.0757
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address