Abstract
With the progression in technology or using small size generators which is having greater efficiency, distributed generation is becoming more admired in recent scenario. The installation of distributed generation takes place near any load centers in the distribution network system. Thus, without having system transmission losses, the investment on transmission network can be reduced and, as a result, improved efficiency and steadfastness of the overall system. It is necessary to obtain the best deployment of distributed generators. In this paper, sensitivity analysis method for the placement of distributed generators is shown. This paper describes about the method and their objectives for the placement of the distributed generator optimally. The sensitivity-based method has proven efficacy in obtaining the best placement of DGs near any load centers. The result has reduced system losses and improved voltage profile in all the case studies and configuration of the network. The optimal settings of all distributed generation are obtained from the proposed optimization-based formulations which have significantly reduced power losses and improved voltage profile. The results of the case studies on 15-bus test systems reveal that in all the combinations of DGs considered, and the system loss has considerably reduced. The loss reduction found from load flow simulation matches with the relative sensitivity provided by the loss sensitivity factors.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Sridevi J, Usha Rani V, Rao BL (2020) Integration of renewable DGs to radial distribution system for loss reduction and voltage profile improvement. In: International Conference on Electrical, Control and Instrumentation Engineering
Gopiya Naik S, Khatod D, Sharma M (2013) Optimal allocation of combined DG and capacitor for real power loss minimization in distribution networks. Int J Electr Power Energy Syst 53:967–973
Usha Rani V, Sridevi J (2017) Loss minimization and voltage profile improvement with network reconfiguration and distributed generation. Int J Comput Eng Res Trends 4(10):449–455
Jain N, Singh SN, Srivastava SC (2010) Particle swarm optimization base method for optimal siting and sizing of multiple distributed generators. In: 16th national power systems conference, Hyderabad
Pesaran M, Huy PD, Ramachandara Murthy VK (2017) A review of the optimal allocation of distributed generation: objectives, constraints, methods, and algorithms. Renew Sustain Energy Rev 75:293–312
Georgilakis PS, Hatziargyriou ND (2013) Optimal distributed generation placement in power distribution networks: models, methods, and future research. IEEE Trans Power Syst 28(3):3420–3428
Hung Q, Mithulananthan N (2013) Multiple distributed generator placement in primary distribution networks for loss reduction. IEEE Trans Industr Electron 60(4):1700–1708
Arya A, Mathur SPS, Dubey M (2020) Optimal generator side bidding with carbon emission trading and risk management. CSIT, Springer Nature 8:235–240
Priyadarshi R, Thakur T, Arya A (2019) Performance evaluation in rural electrification sector of India. In: 8th international conference on power systems (ICPS), Jaipur, India, pp 1–6
Lee SH, Park J-W (2013) Optimal placement and sizing of multiple DGs in a practical distribution system by considering power loss. IEEE Trans Indus Appl 49(5)
Carpinelli G, Celli G, Pilo F, Russo A (2001) Distributed generation siting and sizing under uncertainty. IEEE Porto power tech proceedings (Cat. No.01EX502), Porto, Portugal, p 7, vol 4
Keane A, O’malley M (2005) Optimal allocation of embedded generation on distribution networks. IEEE Trans Power Syst 20(3):1640–1646
Acharya N, Mahat P, Mithulananthan N (2006) An analytical approach for DG allocation in primary distribution network. Int J Electr Power Energy Syst 28:669–678
MATLAB Primer R2018a, Math works. https://www.mathworks.com
Yammani C, Naresh S, Sydulu M, Matam SK (2011) Optimal placement and sizing of the DER in distribution systems using shuffled frog leap algorithm. In: IEEE recent advances in intelligent computational systems, 22–24 September 2011, Trivandrum, India
Hung DQ, Mithulananthan N, Bansal RC (2010) Analytical expression for DG allocation in primary distribution networks. IEEE Trans Energy Convers 25(3)
Acknowledgements
This research work was supported by the research project under the YFRF, Visvesvaraya PhD scheme of MeITy, Govt. of India, implemented by D.I.C. (Previously Media Lab Asia). We are furthermore immensely grateful to MANIT, Bhopal for extending us the requisite amenities during the span of this project.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Arya, A., Verma, S., Mehroliya, S., Tomar, S., Rajeshwari, C.S. (2022). Optimal Placement of Distributed Generators in Power System Using Sensitivity Analysis. In: Bansal, R.C., Agarwal, A., Jadoun, V.K. (eds) Advances in Energy Technology. Lecture Notes in Electrical Engineering, vol 766. Springer, Singapore. https://doi.org/10.1007/978-981-16-1476-7_67
Download citation
DOI: https://doi.org/10.1007/978-981-16-1476-7_67
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-1475-0
Online ISBN: 978-981-16-1476-7
eBook Packages: EngineeringEngineering (R0)