Optimal placement of distributed generation using colliding bodies optimization

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    The present paper foremost objective is to resolve best practicable location of solar photovoltaic distribution generation (DG) of several cases using different distribution load power factors and to analyze power loss reduction. This objective achieved by a recent developed method, the so called colliding bodies’ optimization algorithm, to perceive optimum location. Performances of colliding bodies’ optimization algorithm have been evaluated and compared with other search algorithms. The execution to test viability and efficiency, the proposed collid-ing bodies’ optimization is simulated on standard IEEE 38 bus radial distribution networks. The acquired outcome from colliding bodies Optimization algorithm exhibits the possible location of distributed generation through different pre assumed load power factors compared to the other stochastic search bat and genetic algorithm.



  • Keywords

    Colliding Bodies Optimization (CBO); Distribution Generation; Power Factor; Radial Distribution Network.

  • References

      [1] Roberto Turconi, Alessio Boldrin, Thomas Astrup “Life cycle assessment of electricity generation technologies: Overview, comparitibility and limitations” Renewable and Sustainable energy reviews 28(2013) 555-565. https://doi.org/10.1016/j.rser.2013.08.013.

      [2] Pathomthat Chiradeja, Member, IEEE, and R. RamaKumar, Life Fellow, IEEE “An Approach to Quantify the Technical Benefits of Distributed Generation” IEEE Transactions on Energy Conversion, Vol.19.No.4, December 2004. https://doi.org/10.1109/TEC.2004.827704.

      [3] Ahmed R.Abul’Wafa “Novel Loss Voltage sensitivity factor for capacitor placement in Radial distribution system using approach”, J Electron system 2017, 6:1.

      [4] P. Vijay Babu & S.P.Singh “ Optimal placement of DG in Distribution network for power loss minimization using NLP & PLS technique” 5th International Conference on Advances in Energy Research, ICAER 2015, 15-17 December 2015, Mumbai,India.

      [5] A.Kaveh and V.R.Madhavi “Colliding bodies optimization: a novel meta heuristic method” Center for Excellence for Fundamental Studies in Structural Engineering, Revised for CAS, January 2014.

      [6] kaveh A, Talatahari S “A novel heuristic optimization method: charged system search, Acta Mech 213:267-289. https://doi.org/10.1007/s00707-009-0270-4.

      [7] A.Kaveh, and P.Asadi “Optimum design of grillage system using CBO and ECBO algorithms” International journal of optimization in civil engineering int.J.Optim.Civil eng.,2016;6(1):77-100.

      [8] Sivakumar Mishra, member IEEE, Debapriya Das, member IEEE, Subrata Paul, “ A simple algorithm for distribution system load flow with Distributed Generation. IEEE International Conference on Recent Advances and Innovations in engineering (ICRAIE-2014), May 09-11, 2014, Jaipur, India.

      [9] Chandrasekar Yamini, Sydulu Maheswarapu, sailaja kumara Matam, “Enhancement of voltage profile and loss minimization in Distribution systems using optimal placement and sizing of power system modeled DGs”, J.Electrical Systems 7-4(2011):448-457.




Article ID: 15589
DOI: 10.14419/ijet.v7i2.32.15589

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.