Skip to main content

Advertisement

Log in

Optimal Placement and Sizing of Distributed Generation Using Wale Optimization Algorithm Considering Voltage Stability and Voltage Profile Improvement, Power Loss and Investment Cost Reducing

  • Research Paper
  • Published:
Iranian Journal of Science and Technology, Transactions of Electrical Engineering Aims and scope Submit manuscript

Abstract

This paper suggests a method for optimal locating and sizing problem of distributed generations (DGs) as a nonlinear and multi-objective optimization problem. The offered method creates a trade-off among static voltage stability index, power losses, voltage deviations and investment cost as important indexes in DG location and size selection. The research is carried out using a steady-state voltage stability index for evaluation of system security. The suggested optimization problem has been carried out as a hierarchical optimization problem. In the first step, Wale Optimization Algorithm method has been applied to attain the coordinated plan of quantity and assignment of DG. Also, a MATLAB program has been developed to assess the voltage stability index, respectively, each coordinated pattern during WOA search. Suggested MATLAB program is based on a nonlinear optimization problem which it efforts to evaluate voltage stability. The proposed method has been implemented on IEEE 30 bus test system, and the results show the proper performance and acceptable operation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Abdul Rahman TK, Jasmon GB (1995) A new technique for voltage stability analysis in a power system and improved load flow algorithm for distribution network. Energy Manag Power Deliv Proc EMPD 2(2):714–719

    Google Scholar 

  • Abu-Mouti FS, El-Hawary ME (2010) Optimal distributed generation allocation and sizing in distribution systems via artificial bee colony algorithm. IEEE Trans Power Deliv 26(4):2090–2101

    Article  Google Scholar 

  • Ackermann T, Soder L (2002) An overview of wind energy-status 2002. Renew Sustain Energy Rev 6:67–128

    Article  Google Scholar 

  • Ackermann T, Andersson G, Soder L (2001) Distributed generation: a definition. Electr Power Syst Res 57(3):195–204

    Article  Google Scholar 

  • Bhattacharya A, Chattopadhyay KP (2010) Solution of optimal reactive power flow using biogeography-based optimization. Int J Electr Electron Eng 4(8):568–576

    Google Scholar 

  • Bhattacharya A, Chattopadhyay KP (2011) Application of biogeography-based optimization to solve different optimal power flow problems. IET Proc Gener Transm Distrib 5(1):70–80

    Article  Google Scholar 

  • Celli G, Ghiani E, Mocci S, Pilo F (2005) A multi-objective evolutionary algorithm for the sizing and siting of distributed generation. IEEE Trans Power Syst 20(2):750–757

    Article  Google Scholar 

  • Chiradejaand P, Ramakumar R (2004) An approach to quantify the technical benefits of distributed generation. IEEE Trans Energy Convers 19(4):764–773

    Article  Google Scholar 

  • Das B, Mukherjee V, Das D (2016) DG placement in radial distribution network by symbiotic organisms search algorithm for real power loss minimization. Appl Soft Comput 49:920–936

    Article  Google Scholar 

  • Dinakara Prasad Reddy P, Veera Reddy VC, Gowri Manohar T (2017) Whale optimization algorithm for optimal sizing of renewable resources for loss reduction in distribution systems. Renewables 4(3):1–13

    Google Scholar 

  • El-Fergany A (2015) Study impact of various load models on DG placement and sizing using backtracking search algorithm. Appl Soft Comput 30:803–811

    Article  Google Scholar 

  • El-Sadek MZ (2002) Power system voltage stability and power quality. Mukhtar Press, Assuit

    Google Scholar 

  • Harrison GP, Piccolo A, Siano P, Wallace AR (2007) Distributed generation capacity evaluation using combined genetic algorithm and OPF. Int J Emerg Electr Power Syst 8(2):1–13

    Google Scholar 

  • Hung DQ, Mithulananthan N (2013) Multiple distributed generator placement in primary distribution networks for loss reduction. IEEE Trans Ind Electron 60(4):1700–1708

    Article  Google Scholar 

  • Injeti SK, Prema Kumar N (2013) A novel approach to identify optimal access point and capacity of multiple DGs in a small, medium and large scale radial distribution systems. Electr Power Energy Syst 45(1):142–151

    Article  Google Scholar 

  • Kaur Sandeep, Kumbhar Ganesh, Sharma Jaydev (2014) A MINLP technique for optimal placement of multiple DG units in distribution systems. Electr Power Energy Syst 63:609–617

    Article  Google Scholar 

  • Keane A, O’Malley M (2005) Optimal allocation of embedded generation on distribution networks. IEEE Trans Power Syst 20(3):1640–1646

    Article  Google Scholar 

  • Kefayat M, Lashkar Ara A, NabaviNiaki SA (2015) A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources. Energy Convers Manag 92:149–161

    Article  Google Scholar 

  • Khattam WE, Salama MMA (2004) Distributed generation technologies, definitions and benefits. Electr Power Syst Res 71:119–128

    Article  Google Scholar 

  • Kowsalya M (2014) Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization. Swarm Evol Comput 15:58–65

    Article  Google Scholar 

  • Mirjalili SA, Lewis A (2016) The Whale optimization algorithm. Adv Eng Softw 95:51–67

    Article  Google Scholar 

  • Moradi MH, Abedini M (2012) A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. Electr Power Energy Syst 34(1):66–74

    Article  Google Scholar 

  • Ng HN, Salama MMA, Chikhani AY (2000) Classification of capacitor allocation techniques. IEEE Trans Power Deliv 15(1):387–392

    Article  Google Scholar 

  • Papathanassion SA (2007) A technical evaluation framework for the connection of DG to the distribution network. Electr Power Syst Res 77:24–34

    Article  Google Scholar 

  • Pisica I, Bulac C, Toma L, Eremia M (2009) Optimal SVC placement in electric power systems using a genetic algorithm based method. In: PowerTech, 2009 IEEE Bucharest, 28 June–2 July, 2009, pp 1–6

  • Power system test case archive (1999). http://www.ee.washington.edu/research/pstca/

  • Rajasomashekar S, Aravindhababu P (2012) Biogeography-based optimization technique for best compromise solution of economic emission dispatch. Swarm Evol Comput. https://doi.org/10.1016/j.swevo.2012.06.001

    Article  Google Scholar 

  • Rama Prabha D, Jayabarathi T (2015) Optimal placement and sizing of multiple distributed generating units in distribution networks by invasive weed optimization algorithm. Ain Shams Eng J. https://doi.org/10.1016/j.asej.2015.05.014

    Article  Google Scholar 

  • Rarick R, Simon D, Villaseca F, Vyakaranam B (2009) Biogeography-based optimization and the solution of the power flow problem. In: IEEE international conference on systems, man, and cybernetics, San Antonio, SMC, pp 1003–1008

  • Simon D (2008) Biogeography-based optimization. IEEE Trans Evol Comput 12(6):702–713

    Article  Google Scholar 

  • Taylor CW (1994) Power system voltage stability. McGraw-Hill, New York

    Google Scholar 

  • Wang C, Hashem Nehrir M (2004) Analytical approaches for optimal placement of distributed generation sources in power systems. IEEE Trans Power Syst 19(4):2068–2076

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Meisam Yahyazadeh.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yahyazadeh, M., Rezaeeye, H. Optimal Placement and Sizing of Distributed Generation Using Wale Optimization Algorithm Considering Voltage Stability and Voltage Profile Improvement, Power Loss and Investment Cost Reducing. Iran J Sci Technol Trans Electr Eng 44, 227–236 (2020). https://doi.org/10.1007/s40998-019-00224-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40998-019-00224-4

Keywords

Navigation