Consideration of small signal stability in multi-objective DS reconfiguration in the presence of distributed generation

Consideration of small signal stability in multi-objective DS reconfiguration in the presence of distributed generation

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

Buy article PDF
(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
Your details
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 methodology for distribution system (DS) reconfiguration in the presence of distributed generations with objectives of minimising real power loss, switching operations as well as maximising the voltage stability margin while maintaining the constraints of bus voltage, branch current carrying capacity and radiality of DS. Furthermore, small signal stability of the system has also been considered in the formulated reconfiguration problem. To obtain the pareto-optimal solutions of this constrained multi-objective optimisation problem, knee point-driven evolutionary algorithm, is applied. In contrast to the non-dominated sorting genetic algorithm-II (NSGA-II)-based approach, preference is given to the knee points among non-dominated solutions in selection and tournament mating. Therefore, it maintains better balance between the convergence of the method and the diversity in the population. The method has been tested on IEEE 33-bus, 69-bus and 119-bus radial DSs to demonstrate its feasibility and effectiveness. The obtained results have also been compared with those obtained by the multi-objective NSGA-II-based method.


    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)
      • 13. Sauer, P.W., Pai, M.A.: ‘Power system dynamics and stability’ (Prentice-Hall Engineering, Upper Saddle River, NJ, USA, 1998).
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
      • 18. MATLAB, Mathworks Inc., MA, USA, Version r2012a.
    19. 19)
    20. 20)
    21. 21)
    22. 22)

Related content

This is a required field
Please enter a valid email address