DOI QR코드

DOI QR Code

A novel approach for optimal DG allocation in distribution network for minimizing voltage sag

  • Hashemian, Pejman (Department of Electrical Engineering, Amirkabir University of Technology) ;
  • Nematollahi, Amin Foroughi (Department of Electrical Engineering, Amirkabir University of Technology) ;
  • Vahidi, Behrooz (Department of Electrical Engineering, Amirkabir University of Technology)
  • Received : 2018.11.04
  • Accepted : 2019.04.30
  • Published : 2019.03.25

Abstract

The cost incurred by voltage sag effect in power networks has always been of important concern for discussions. Due to the environmental constraints, fossil fuel shortage crisis and low efficiency of conventional power plants, decentralized generation and renewable based DG have become trends in recent decades; because DGs can reduce the voltage sag effect in distribution networks noticeably; therefore, optimum allocation of DGs in order to maximize their effectiveness is highly important in order to maximize their effectiveness. In this paper, a new method is proposed for calculating the cost incurred by voltage sag effect in power networks. Thus, a new objective function is provided that comprehends technical standards as minimization of the cost incurred by voltage sag effect, active power losses and economic criterion as the installation and maintenance costs of DGs. Considering operational constraints of the system, the optimum allocation of DGs is a constrained optimization problem in which Lightning Attachment procedure optimization (LAPO) is used to resolve it and is the optimum number, size and location of DGs are determined in IEEE 33 bus test system and IEEE 34 bus test system. The results show that optimum allocation of DGs not only reduces the cost incurred by voltage sag effect, but also improves the other characteristics of the system.

Keywords

References

  1. Alsayegh, O., Alhajraf, S. and Albusairi, H. (2010), "Grid-connected renewable energy source systems: Challenges and proposed management schemes", Energy Conversion Manage., 51(8), 1690-1693. https://doi.org/10.1016/j.enconman.2009.11.042
  2. Aman, M.M., Jasmon, G.B., Bakar, A.H.A. and Mokhlis, H. (2014), "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, 66, 202-215. https://doi.org/10.1016/j.energy.2013.12.037
  3. Ameli, A., Bahrami, S., Khazaeli, F. and Haghifam, M.R. (2014), "A multiobjective particle swarm optimization for sizing and placement of DGs from DG owner's and distribution company's viewpoints", IEEE T. Power Delivery, 29(4), 1831-1840. https://doi.org/10.1109/TPWRD.2014.2300845
  4. Antikainen, J., Repo, S., Verho, P. and Jarventausta, P. (2009), "Possibilities to improve reliability of distribution network by intended island operation", Int. J. Innov. Energy Syst. Power, 4(1), 22-28.
  5. Aung, M.T. and Milanovic, J.V (2006), "Stochastic prediction of voltage sags by considering the probability of the failure of the protection system", IEEE T. Power Deliver., 21(1), 322-329. https://doi.org/10.1109/TPWRD.2005.852385
  6. Aung, M.T., Milanovic, J.V. and Gupta, C.P. (2004), "Propagation of asymmetrical sags and the influence of boundary crossing lines on voltage sag prediction", IEEE T. Power Deliver., 19(4), 1819-1827. https://doi.org/10.1109/TPWRD.2004.835427
  7. Becker, C., Braun, W., Carrick, K., Diliberti, T., Grigg, C., Groesch, J., Hazen, B., Imel, T., Koval, D. and Mueller, D. (1994), "Proposed chapter 9 for predicting voltage sags (dips) in revision to IEEE Std 493, the Gold Book", IEEE T. Ind. Appl., 30(3), 805-821. https://doi.org/10.1109/28.293731
  8. Biswas, S., Goswami, S.K. and Chatterjee, A. (2012), "Optimum distributed generation placement with voltage sag effect minimization", Energy Convers. Manage., 53(1), 163-174. https://doi.org/10.1016/j.enconman.2011.08.020
  9. Bollen, M.H.J. (1995), "Fast assessment methods for voltage sags in distribution systems", Proceedings of the 1995 IEEE Industry Applications Conference, Orlando, Florida, U.S.A., October.
  10. Bollen, M.H.J. and Bollen, M.H.J. (2000), Understanding Power Quality Problems: Voltage Sags and Interruptions, IEEE Press, New York, U.S.A.
  11. Bozalakov, D., Vandoorn, T.L., Meersman, B., Demoulias, C. and Vandevelde, L. (2015), "Voltage dip mitigation capabilities of three-phase damping control strategy", Elec. Power Syst. Res., 121, 192-199. https://doi.org/10.1016/j.epsr.2014.12.012
  12. Cheng, P.T., Huang, C.C., Pan, C.C. and Bhattacharya, S. (2003), "Design and implementation of a series voltage sag compensator under practical utility conditions", IEEE T. Ind. Appl., 39(3), 844-853. https://doi.org/10.1109/TIA.2003.811780
  13. Chis, M., Salama, M.M.A. and Jayaram, S. (1997), "Capacitor placement in distribution systems using heuristic search strategies", IEE Proc. Gener. Transmiss. Distribut., 144(3), 225-230. https://doi.org/10.1049/ip-gtd:19970945
  14. Das, C.K., Bass, O., Kothapalli, G., Mahmoud, T.S. and Habibi, D. (2018), "Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality", Renew. Sust. Energy Rev., 91, 1205-1230. https://doi.org/10.1016/j.rser.2018.03.068
  15. Di Fazio, A.R., Duraccio, V., Varilone, P. and Verde, P. (2014), "Voltage sags in the automotive industry: Analysis and solutions", Elec. Power Syst. Res., 110, 25-30. https://doi.org/10.1016/j.epsr.2014.01.004
  16. Ehyaei, M.A. and Farshin, B. (2017), "Optimization of photovoltaic thermal (PV/T) hybrid collectors by genetic algorithm in Iran's residential areas", Adv. Energy Res., 5(1), 31-55. https://doi.org/10.12989/eri.2017.5.1.031
  17. Ettehadi, M., Ghasemi, H. and Vaez-Zadeh, S. (2013), "Voltage stability-based DG placement in distribution networks", IEEE T. Power Deliver., 28(1), 171-178. https://doi.org/10.1109/TPWRD.2012.2214241
  18. Forooghi Nematollahi, A., Dadkhah, A., Asgari Gashteroodkhani, O. and Vahidi, B. (2016), "Optimal sizing and siting of DGs for loss reduction using an iterative-analytical method", J. Renew. Sust. Energy, 8(5), p. 55301. https://doi.org/10.1063/1.4966230
  19. Foroughi Nematollahi, A., Rahiminejad, A., Vahidi, B., Askarian, H. and Safaei, A. (2018), "A new evolutionary-analytical two-step optimization method for optimal wind turbine allocation considering maximum capacity", J. Renew. Sust. Energy, 10(4), 043312. https://doi.org/10.1063/1.5043403
  20. Foroughi, A. Abolfazl Rahiminejad, B.V. (2017), Lightning Attachment Procedure Optimization (LAPO) Source Codes Demo Version 1.0., https://www.researchgate.net/profile/Amin_Foroughi2/publication/319938926_Lightning_Attachment_Procedure_Optimization_LAPO_source_codes_demo_version_10/data/59c266df458515af30608f4f/Report-2.pdf.
  21. Freitas, W., Vieira, J.C.M., Morelato, A., Da Silva, L.C.P., Da Costa, V.F. and Lemos, F.A.B. (2006), "Comparative analysis between synchronous and induction machines for distributed generation applications", IEEE T. Power Syst., 21(1), 301-311. https://doi.org/10.1109/TPWRS.2005.860931
  22. Goswami, A.K., Gupta, C.P. and Singh, G.K. (2009), "An analytical approach for assessment of voltage sags", Int. J. Elec. Power Energy Syst., 31(7-8), 418-426. https://doi.org/10.1016/j.ijepes.2009.03.028
  23. Ha, M.P., Huy, P.D. and Ramachandaramurthy, V.K. (2017), "A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms", Renew. Sust. Energy Rev., 75, 293-312. https://doi.org/10.1016/j.rser.2016.10.071
  24. Hajizadeh, A. and Hajizadeh, E. (2008), "PSO-based planning of distribution systems with distributed generations", Int. J. Elec. Elec. Eng., 2(1), 33-38.
  25. Hamzeh, M., Vahidi, B. and Nematollahi, A.F. (2018), "Optimizing configuration of cyber network considering graph theory structure and teaching-learning-based optimization (GT-TLBO)", IEEE T. Ind. Inform.
  26. Heising, C. (1997), IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems, IEEE, 149-182.
  27. IEEE (1998), IEEE Recommended Practice for Evaluating Electric Power System Compatibility with Electronic Process Equipment.
  28. Ipinnimo, O., Chowdhury, S., Chowdhury, S.P. and Mitra, J. (2013), "A review of voltage dip mitigation techniques with distributed generation in electricity networks", Elec. Power Syst. Res., 103, 28-36. https://doi.org/10.1016/j.epsr.2013.05.004
  29. Kansal, S., Kumar, V. and Tyagi, B. (2013), "Optimal placement of different type of DG sources in distribution networks", Int. J. Elec. Power Energy Syst., 53, 752-760. https://doi.org/10.1016/j.ijepes.2013.05.040
  30. Karimyan, P., Gharehpetian, G.B., Abedi, M. and Gavili, A. (2014), "Long term scheduling for optimal allocation and sizing of DG unit considering load variations and DG type", Int. J. Elec. Power Energy Syst., 54, 277-287. https://doi.org/10.1016/j.ijepes.2013.07.016
  31. Kashem, M.A., Ganapathy, V., Jasmon, G.B. and Buhari, M.I. (2000), "A novel method for loss minimization in distribution networks", Proceedings of the International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, London, U.K., April.
  32. Li, Y., Feng, B., Li, G., Qi, J., Zhao, D. and Mu, Y. (2018), "Optimal distributed generation planning in active distribution networks considering integration of energy storage", Appl. Energy, 210, 1073-1081. https://doi.org/10.1016/j.apenergy.2017.08.008
  33. McGranaghan, M.F., Mueller, D.R. and Samotyj, M.J. (1993), "Voltage sags in industrial systems", IEEE T. Industr. Appl., 29(2), 397-403. https://doi.org/10.1109/28.216550
  34. Milanovic, J.V, Aung, M.T. and Gupta, C.P. (2005), "The influence of fault distribution on stochastic prediction of voltage sags", IEEE T. Power Deliver., 20(1), 278-285. https://doi.org/10.1109/TPWRD.2004.835052
  35. Mirzaei, M., Jasni, J., Hizam, H., Wahab, N.I.A. and Moazami, E. (2017), "A combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system", Pertanika J. Sci. Technol., 25(1).
  36. Moosavi, K., Vahidi, B., Askarian Abyaneh, H. and Foroughi Nematollahi, A. (2017), "Intelligent control of power sharing between parallel-connected boost converters in micro-girds", J. Renew. Sust. Energy, 9(6), 065504. https://doi.org/10.1063/1.5011156
  37. Mostafaeipour, A., Arabi, F., Qolipour, M., Shamshirband, S. and Alavi, O. (2017a), "Optimal location planning to install wind turbines for hydrogen production: A case study", Adv. Energy Res., 5(2), 147-177. https://doi.org/10.12989/ERI.2017.5.2.147
  38. Mostafaeipour, A., Sedaghat, A., Qolipour, M., Rezaei, M., Arabnia, H.R., Saidi-Mehrabad, M., Shamshirband, S. and Alavi, O. (2017b), "Localization of solar-hydrogen power plants in the province of Kerman, Iran", Adv. Energy Res., 5(2), 179-205. https://doi.org/10.12989/ERI.2017.5.2.179
  39. Nematollahi, A.F., Rahiminejad, A. and Vahidi, B. (2017), "A novel physical based meta-heuristic optimization method known as lightning attachment procedure optimization", Appl. Soft Comput., 59, 596-621. https://doi.org/10.1016/j.asoc.2017.06.033
  40. Nematollahi, A.F., Rahiminejad, A. and Vahidi, B. (2019), "A novel multi-objective optimization algorithm based on lightning attachment procedure optimization algorithm", Appl. Soft Comput., 75, 404-427. https://doi.org/10.1016/j.asoc.2018.11.032
  41. Oyj, F. and Oyj, F. (1999), N Kayttohairiotilasto Vuodelta 1998 (Interruption Statistics of Fingrid Oyj 1998), Helsinki, Finland, 6-290.
  42. Park, C.H. and Jang, G. (2007), "Stochastic estimation of voltage sags in a large meshed network", IEEE T. Power Deliver., 22(3), 1655-1664. https://doi.org/10.1109/TPWRD.2006.886795
  43. Park, C.H., Hong, J.H. and Jang, G. (2010), "Assessment of system voltage sag performance based on the concept of area of severity", IET Gener. Transmiss. Distribut., 4(6), 683-693. https://doi.org/10.1049/iet-gtd.2009.0492
  44. Pipattanasomporn, M., Willingham, M. and Rahman, S. (2005), "Implications of on-site distributed generation for commercial/industrial facilities", IEEE T. Power Syst., 20(1), 206-212. https://doi.org/10.1109/TPWRS.2004.841233
  45. Qader, M.R., Bollen, M.H.J. and Allan, R.N. (1999), "Stochastic prediction of voltage sags in a large transmission system", IEEE T. Ind. Appl., 35(1), 152-162. https://doi.org/10.1109/28.740859
  46. Rahiminejad, A., Aranizadeh, A. and Vahidi, B. (2014), "Simultaneous distributed generation and capacitor placement and sizing in radial distribution system considering reactive power market", J. Renew. Sust. Energy, 6(4), 043124. https://doi.org/10.1063/1.4893431
  47. Rahiminejad, A., Hosseinian, S.H., Vahidi, B. and Shahrooyan, S. (2016), "Simultaneous distributed generation placement, capacitor placement, and reconfiguration using a modified teaching-learning-based optimization algorithm", Elec. Power Components Syst., 44(14), 1631-1644. https://doi.org/10.1080/15325008.2016.1183729
  48. Renders, B., De Gusseme, K., Ryckaert, W.R., Stockman, K., Vandevelde, L. and Bollen, M.H.J. (2008), "Distributed generation for mitigating voltage dips in low-voltage distribution grids", IEEE T. Power Deliver., 23(3), 1581-1588. https://doi.org/10.1109/TPWRD.2007.916162
  49. Sirjani, R. and Jordehi, A.R. (2017), "Optimal placement and sizing of distribution static compensator (DSTATCOM) in electric distribution networks: A review", Renew. Sust. Energy Rev., 77, 688-694. https://doi.org/10.1016/j.rser.2017.04.035
  50. Vineetha, C.P. and Babu, C.A. (2016), "Optimal unidirectional grid tied hybrid power system for peak demand management", Adv. Energy Res., 4(1), 47-68. https://doi.org/10.12989/eri.2016.4.1.047
  51. Wang, J., Chen, S. and Lie, T.T. (2005), "System voltage sag performance estimation", IEEE T. Power Deliver., 20(2), 1738-1747. https://doi.org/10.1109/TPWRD.2004.834341