• DocumentCode
    1008285
  • Title

    Optimal Scheduling of LTC and Shunt Capacitors in Large Distorted Distribution Systems Using Evolutionary-Based Algorithms

  • Author

    Ulinuha, Agus ; Masoum, Mohammad A S ; Islam, Syed M.

  • Author_Institution
    Univ. Muhammadiyah Surakarta, Surakarta
  • Volume
    23
  • Issue
    1
  • fYear
    2008
  • Firstpage
    434
  • Lastpage
    441
  • Abstract
    The optimal scheduling of load tap changers (LTCs) and switched shunt capacitors for simultaneously minimizing energy loss and improving voltage profile while taking harmonics into account is performed using evolutionary-based algorithms (EAs). The proposed algorithm is capable of optimizing large distribution systems with different types of nonlinear loads. The decouple approach is employed for harmonic power-flow calculations, while two EAs are developed to determine the load interval division and near-optimal schedule. The inclusion of harmonics provides the optimization benefits while maintaining the acceptable distortion levels. The scheduling is carried out for the IEEE 123-bus with 14 shunt capacitors and 12 nonlinear loads. The main contributions are inclusion of harmonics in the optimal scheduling problem and its application to large distribution systems with multiple nonlinear loads.
  • Keywords
    distribution networks; evolutionary computation; load flow; power capacitors; power system harmonics; energy loss; evolutionary-based algorithms; harmonic power-flow calculations; large distorted distribution systems; load interval division; load tap changers; nonlinear loads; optimal scheduling; switched shunt capacitors; voltage profile; Capacitors; Energy loss; Energy management; Harmonic distortion; Load management; Optimal scheduling; Power system harmonics; Power system planning; Scheduling algorithm; Voltage; Evolutionary algorithms (EAs); harmonics; large system; load tap changer (LTC) and shunt capacitors; optimal scheduling;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2007.911166
  • Filename
    4402582