DOI QR코드

DOI QR Code

Optimal Allocation of Distributed Solar Photovoltaic Generation in Electrical Distribution System under Uncertainties

  • 투고 : 2016.08.02
  • 심사 : 2017.04.03
  • 발행 : 2017.07.01

초록

In this paper, a new approach is proposed to select the optimal sitting and sizing of distributed solar photovoltaic generation (SPVG) in a radial electrical distribution systems (EDS) considering load/generation uncertainties. Here, distributed generations (DGs) allocation problem is modeled as optimization problem with network loss based objective function under various equality and inequality constrains in an uncertain environment. A boundary power flow is utilized to address the uncertainties in load/generation forecasts. This approach facilitates the consideration of random uncertainties in forecast having no statistical history. Uncertain solar irradiance is modeled by beta distribution function (BDF). The resulted optimization problem is solved by a new Dynamic Harmony Search Algorithm (DHSA). Dynamic band width (DBW) based DHSA is proposed to enhance the search space and dynamically adjust the exploitation near the optimal solution. Proposed approach is demonstrated for two standard IEEE radial distribution systems under different scenarios.

키워드

참고문헌

  1. C. Wang, and M. H. Nehrir, "Analytical approaches for optimal placement of distributed generation sources in power systems," IEEE Transactions on Power Systems, vol. 19, no.4, pp. 2068-2076, 2004. https://doi.org/10.1109/TPWRS.2004.836189
  2. P. Kayal, and C. K. Chanda, "Optimal mix of solar and wind distributed generations considering performance improvement of electrical distribution network," Renewable Energy, vol. 75, pp.173-186, 2015. https://doi.org/10.1016/j.renene.2014.10.003
  3. R. K. Singh, and S. K. Goswami, "Optimal integration of distributed generations for profit maximization and voltage improvement including voltage rise issue," Intl. J. Power Energy Conversion, vol. 1, no. 2/3, pp. 261-278, 2009. https://doi.org/10.1504/IJPEC.2009.027947
  4. R.K. Singh, and S. K. Goswami, "Multi-objective optimization of distributed generation planning using impact indices and trade-off technique," Electric Power Components and Systems, vol. 39, no. 11, pp. 1175-1190, 2011. https://doi.org/10.1080/15325008.2011.559189
  5. M. F. Shaaban, Y. M. Atwa, and E. F. El-Saadany, "DG allocation for benefit maximization in distribution networks," IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 639-649, 2013. https://doi.org/10.1109/TPWRS.2012.2213309
  6. A. Keane, and M. O'Malley, "Optimal allocation of embedded generation on distribution networks," IEEE Transactions on Power Systems, vol. 20 no. 3, pp. 1640-1646, 2005.
  7. N. Acharya, P. Mahat, and N. Mithulananthan, "An analytical approach for DG allocation in primary distribution network," Electrical Power Systems Research, vol. 28, pp. 669-678, 2006. https://doi.org/10.1016/j.ijepes.2006.02.013
  8. D. Q. Hung, N. Mithulananthan, R. C. Bansal, and S. Member, "Analytical Expressions for DG Allocation in Primary Distribution Networks," IEEE Transactions Energy Conversion, vol. 25, no. 3, pp. 814-820, 2010. https://doi.org/10.1109/TEC.2010.2044414
  9. T. Gozel and M. H. Hocaoglu, "An analytical method for the sizing and siting of distributed generators in radial systems," Electrical Power Systems Research, vol. 79, no. 6, pp. 912-918, Jun. 2009. https://doi.org/10.1016/j.epsr.2008.12.007
  10. K. Nekooei, M. M. Farsangi, H. N. Pour, and K. Y. Lee, "An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems," IEEE Transactions on Smart Grid, vol. 4, no. 1, march 2013.
  11. M. Gandomkar, M. Vakilian, and M. Ehsan, "A genetic-based tabu search algorithm for optimal DG allocation in distribution networks," Electric Power Components and Systems, vol. 33, no. 12, pp. 1351-1362, 2005. https://doi.org/10.1080/15325000590964254
  12. M. H. Moradi, and M. Abedini, "A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems," International Journal of Electrical Power & Energy Systems, vol. 34, no .1, pp. 66-74, 2012. https://doi.org/10.1016/j.ijepes.2011.08.023
  13. A. M. El-Zonkoly, "Optimal placement of multidistributed generation units including different load models using particle swarm optimization," Swarm and Evolutionary Computation, vol. 1, pp. 50-59, 2011. https://doi.org/10.1016/j.swevo.2011.02.003
  14. S. Sultana, and P. K. Roy, "Multi-objective quasioppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems," International Journal of Electrical Power & Energy Systems, vol. 63, pp. 534-545, 2014. https://doi.org/10.1016/j.ijepes.2014.06.031
  15. V. A. Evangelopoulos, and P. S. Georgilakis, "Optimal distributed generation placement under uncertainties based on point estimate method embedded genetic algorithm," IET Generation, Transmission & Distribution, vol. 8, no. 3, pp. 389-400, 2014. https://doi.org/10.1049/iet-gtd.2013.0442
  16. K. Zou, , P. K. Agalgaonkar, K. M. Muttaqi and S. Perera, "Distribution system planning with incorporating DG reactive capability and system uncertainties," IEEE Transactions on Sustainable Energy, vo. 3, no.1, pp. 112-123, 2012. https://doi.org/10.1109/TSTE.2011.2166281
  17. S, Ganguly, and D. Samajpati, "Distributed generation allocation on radial distribution networks under uncertainties of load and generation using genetic algorithm," IEEE Transactions on Sustainable Energy, vol. 6, no. 3 pp. 688-697, 2015. https://doi.org/10.1109/TSTE.2015.2406915
  18. P. R. Bijwe, M. Hanmandlu, and V. N. Pande, "Fuzzy power flow solutions with reactive limits and multiple uncertainties," Electric Power Systems Research, vol. 76, no.1, pp.145-152, 2005. https://doi.org/10.1016/j.epsr.2005.05.002
  19. A. Dimitrovski and K. Tomsovic, "Boundary load flow solutions," IEEE Transactions on Power Systems, vol. 19, no. 1, pp. 348-355, 2004. https://doi.org/10.1109/TPWRS.2003.821469
  20. A. Verma, P. R. Bijwe, and B. K. Panigrahi, "Heuristic method for transmission network expansion planning with security constraints and uncertainty in load specifications," IEEE Transmission & Distribution Conference & Exposition: Asia and Pacific, 2009.
  21. Z. W. Geem, J. H. Kim, and G. V. Loganathan, "A new heuristic optimization algorithm: harmony search," Simulation, vol. 76, no. 2, pp.60-68, 2001. https://doi.org/10.1177/003754970107600201
  22. J. Kalivarapu, S. Jain and S. Bag, "An improved harmony search algorithm with dynamically varying bandwidth," Engineering Optimization, vol. 48, no. 7, pp. 1091-1108, 2016. https://doi.org/10.1080/0305215X.2015.1090570
  23. J. H. Teng, S. W. Luan, D. J. Lee, and Y. Q. Huang, "Optimal charging/discharging scheduling of battery storage systems for distribution systems intercomnected with sizeable PV generation systems" IEEE Transactions on Power Systems, val. 28, no. 2, pp. 1425-1433, 2013. https://doi.org/10.1109/TPWRS.2012.2230276
  24. G. K. Viswanadha Raju, and P. R. Bijwe, "Reactive power/voltage control in distribution systems under uncertain environment," IET Generation Transmission & Distribution, vol. 2, no.5, pp.752, 2008. https://doi.org/10.1049/iet-gtd:20080095
  25. M. Mahdavi, M. Fesanghary, and E. Damangir, "An improved harmony search algorithm for solving optimization problems," Applied Mathematics and Computation, vo. 188, no. 2, pp. 1567-1579, 2007. https://doi.org/10.1016/j.amc.2006.11.033
  26. R. S. Rao, S. V. L. Narasimham, and M. Ramalingaraju, "Optimal capacitor placement in a radial distribution system using plant growth simulation algorithm," International Journal of Electrical Power & Energy Systems, vol. 33, no. 5, pp. 1133-1139, 2011. https://doi.org/10.1016/j.ijepes.2010.11.021
  27. A. Tyagi, and A. Verma, "Comparative study of IHS and BF-DE algorithm for optimal DG placement," IEEE International Conference on Energy Efficient Technologies for Sustainability (ICEETS), Nagercoil, 2016, pp. 336-340.