EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 152 (2020) E3S Web Conf., 152 (2020) 03001 References
Open Access
Issue
E3S Web Conf.
Volume 152, 2020
2019 International Conference on Power, Energy and Electrical Engineering (PEEE 2019)
Article Number 03001
Number of page(s) 5
Section Power Electronics and Transmission Technology
DOI https://doi.org/10.1051/e3sconf/202015203001
Published online 14 February 2020
  1. M. M. Aman, G. B. Jasmon, A. H. A. Bakar, and H. Mokhlis, “A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm,” Energy, vol. 66, pp. 202–215, (2014) [CrossRef] [Google Scholar]
  2. T. Ackermann, G. Andersson, and L. Söder, “Distributed generation: A definition,” Electr. Power Syst. Res., vol. 57, no. 3, pp. 195–204, (2001) [CrossRef] [Google Scholar]
  3. L. Y. Wong, S. R. A. Rahim, M. H. Sulaiman, and O. Aliman, “Distributed generation installation using particle swarm optimization,” no. June, pp. 159–163, (2010) [Google Scholar]
  4. S. Ghosh, S. P. Ghoshal, and S. Ghosh, “Optimal sizing and placement of distributed generation in a network system,” Int. J. Electr. Power Energy Syst., vol. 32, no. 8, pp. 849–856, (2010) [CrossRef] [Google Scholar]
  5. L. I. Dulău, M. Abrudean, and D. Bică, “Distributed Generation Technologies and Optimization,” Procedia Technol., vol. 12, pp. 687–692, (2014) [CrossRef] [Google Scholar]
  6. Q. Kang, T. Lan, Y. Yan, L. Wang, and Q. Wu, “Group search optimizer based optimal location and capacity of distributed generations,” Neurocomputing, vol. 78, no. 1, pp. 55–63, (2012) [Google Scholar]
  7. Rezaee Jordehi, “Allocation of distributed generation units in electric power systems: A review,” Renew. Sustain. Energy Rev., vol. 56, pp. 893–905, (2016) [CrossRef] [Google Scholar]
  8. J. H. Zhao, J. Foster, Z. Y. Dong, S. Member, and K. P. Wong, “Distributed Generation Impacts,” IEEE Trans. Power Syst., vol. 26, no. 3, pp. 1–10, (2010) [Google Scholar]
  9. D. Q. Hung, N. Mithulananthan, and R. C. Bansal, “Analytical strategies for renewable distributed generation integration considering energy loss minimization,” Appl. Energy, vol. 105, pp. 75–85, (2013) [Google Scholar]
  10. A. Parizad, A. Khazali, and M. Kalantar, “Optimal placement of distributed generation with sensitivity factors considering voltage stability and losses indices,” Proc. 2010 18th Iran. Conf. Electr. Eng. ICEE 2010, pp. 848–855, (2010) [Google Scholar]
  11. N. Khalesi, N. Rezaei, and M. R. Haghifam, “DG allocation with application of dynamic programming for loss reduction and reliability improvement,” Int. J. Electr. Power Energy Syst., vol. 33, no. 2, pp. 288–295, (2011) [CrossRef] [Google Scholar]
  12. J. J. Jamian, M. W. Mustafa, H. Mokhlis, and M. N. Abdullah, “Comparative study on Distributed Generator sizing using three types of Particle Swarm Optimization,” Proc. 3rd Int. Conf. Intell. Syst. Model. Simulation, ISMS 2012, pp. 131–136, (2012) [Google Scholar]
  13. D. Q. Hung, N. Mithulananthan, and R. C. Bansal, “Analytical expressions for DG allocation in primary distribution networks,” IEEE Trans. Energy Convers., vol. 25, no. 3, pp. 814–820, (2010) [CrossRef] [Google Scholar]
  14. D. Zhang, Z. Fu, and L. Zhang, “An improved TS algorithm for loss-minimum reconfiguration in large-scale distribution systems,” Electr. Power Syst. Res., vol. 77, no. 5–6, pp. 685–694, (2007) [CrossRef] [Google Scholar]
  15. T. T. Nguyen, A. V. Truong, and T. A. Phung, “A novel method based on adaptive cuckoo search for optimal network reconfiguration and distributed generation allocation in distribution network,” Int. J. Electr. Power Energy Syst., vol. 78, pp. 801–815, (2016) [CrossRef] [Google Scholar]
  16. T. G??zel and M. H. Hocaoglu, “An analytical method for the sizing and siting of distributed generators in radial systems,” Electr. Power Syst. Res., vol. 79, no. 6, pp. 912–918, (2009) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.