Skip to main content
Log in

Distribution line downsizing based on a set of non-dominated solutions for a network reconfiguration problem of an electric distribution system with many objectives

  • Research Article
  • Published:
Optimization and Engineering Aims and scope Submit manuscript

Abstract

To provide electric power supply to consumers even in abnormal situations, the equipment used in electric distribution systems, including distribution lines, have sufficient capacity margins. Maintenance and/or replacement of these lines involving network reconfigurations are routinely performed. Since the monetary costs of equipment investments are significant, downsizing the equipment is important from the standpoint of cost savings. In this paper, we propose a method to downsize distribution lines while maintaining the feasibility of the network reconfigurations. The proposed method consists of three steps. First, (1) sets of non-dominated solutions approximating the Pareto fronts of the network reconfiguration problems are found by a many-objective evolutionary algorithm. Second, (2) the distribution system operator specifies the preferred solutions among the sets found in (1). Finally, (3) a set of downsized lines is chosen from among the set of lines under the condition that the specified reconfiguration procedures remain feasible even after downsizing the lines. A computational experiment using a large-scale distribution system model demonstrates that the proposed method successfully identifies within a practical computational time those distribution lines that provide possibilities for downsizing and their downsized capacities.

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

  • Alotaibi MA, Sala MMA (2018) An incentive-based multistage expansion planning model for smart distribution systems. IEEE Trans Power Syst 33(5):5469–5485

    Article  Google Scholar 

  • Amanulla B, Chakrabarti S, Singh SN (2012) Reconfiguration of power distribution systems considering reliability and power loss. IEEE Trans Power Deliv 27(2):918–926

    Article  Google Scholar 

  • Arasteh H, Sepasian MS, Vahidinasab V (2016a) An aggregated model for coordinated planning and reconfiguration of electric distribution networks. Energy 94:786–798

    Article  Google Scholar 

  • Arasteh H, Sepasian MS, Vahidinasab V, Siano P (2016b) SoS-based multiobjective distribution system expansion planning. Electr Power Syst Res 141:392–406

    Article  Google Scholar 

  • Arif A, Ma S, Wang Z, Wang J, Ryan SM, Chen C (2018) Optimizing service restoration in distribution systems with uncertain repair time and demand. IEEE Trans Power Syst 33(6):6828–6838

    Article  Google Scholar 

  • Asrari A, Lotfifard S, Payam MS (2016) Pareto dominance-based multiobjective optimization method for distribution network reconfiguration. IEEE Trans Smart Grid 7(3):1401–1410

    Article  Google Scholar 

  • Bader J, Zitzler E (2011) HypE: an algorithm for fast hypervolume-based many-objective optimization. Evol Comput 19(1):45–76

    Article  Google Scholar 

  • Bai F, Yan R, Saha TK, Eghbal D (2018) A new remote tap position estimation approach for open-delta step-voltage regulator in a photovoltaic integrated distribution network. IEEE Trans Power Syst 33(4):4433–4443

    Article  Google Scholar 

  • Chamana M, Chowdhury BH, Jahanbakhs F (2018) Distributed control of voltage regulating devices in the presence of high PV penetration to mitigate ramp-rate issues. IEEE Trans Smart Grid 9(2):1086–1095

    Article  Google Scholar 

  • Das I, Dennis JE (1998) Normal-boundary intersection: a new method for generating the Pareto surface in nonlinearmulticriteria optimization problems. SIAM J. Optim. 8(3):631–657

    Article  MathSciNet  Google Scholar 

  • Deb K, Jain H (2014) An evolutionary many objective optimization algorithm using reference-point based non-dominated sorting approach, part I: solving problems with box constraints. IEEE Trans Evol Comput 18(4):577–601

    Article  Google Scholar 

  • Eldurssi AM, O’Connell RM (2015) A fast non-dominated sorting guided genetic algorithm for multi-objective power distribution system reconfiguration problem. IEEE Trans Power Syst 30(2):593–601

    Article  Google Scholar 

  • Golshannavaz S, Afsharnia S, Aminifar F (2014) Smart distribution grid: optimal day-ahead scheduling with reconfigurable topology. IEEE Trans Smart Grid 5(5):2402–2411

    Article  Google Scholar 

  • Haghighat H, Zeng B (2016) Distribution system reconfiguration under uncertain load and renewable generation. IEEE Trans Power Syst 31(4):2666–2666

    Article  Google Scholar 

  • Heidari S, Fotuhi-Firuzabad M, Kazemi S (2015) Power distribution network expansion planning considering distribution automation. IEEE Trans Power Syst 30(3):1261–1269

    Article  Google Scholar 

  • Ishibuchi H, Masuda H, Tanigaki Y, Nojima Y (2014) Difficulties in specifying reference points to calculate the inverted generational distance for many-objective optimization problems. In: IEEE symposium on computational intelligence in multi-criteria decision-making (MCDM)

  • Ishibuchi H, Masuda H, Tanigaki Y, Nojima Y (2015) Modified distance calculation in generational distance and inverted generational distance. In: International conference on evolutionary multi-criterion optimization. Springer, Berlin, pp 110–125

  • Kavousi-Fard A, Niknam T, Khosravi A (2014) Multi-objective probabilistic distribution feeder reconfiguration considering wind power plants. Int J Electr Power Energy Syst 55:680–691

    Article  Google Scholar 

  • Koutsoukis NC, Georgilakis PS, Hatziargyriou ND (2018) Multistage coordinated planning of active distribution networks. IEEE Trans Power Syst 33(1):32–44

    Article  Google Scholar 

  • Lee C, Liu C, Mehrotra S, Bie Z (2015) Robust distribution network reconfiguration. IEEE Trans Smart Grid 6(2):836–842

    Article  Google Scholar 

  • Liu Y, Li J, Lei W (2019) Coordinated optimal network reconfiguration and voltage regulator/DER control for unbalanced distribution systems. IEEE Trans Smart Grid 10(3):2912–2922

    Article  Google Scholar 

  • Malekpour AR, Niknam T, Pahwa A, Fard AK (2013) Multi-objective stochastic distribution feeder reconfiguration in systems with wind power generators and fuel cells using the point estimate method. IEEE Trans Power Syst 28(2):1483–1492

    Article  Google Scholar 

  • Mazhari SM, Monsef H, Romero R (2016) A multi-objective distribution system expansion planning incoorporating customer choices on reliability. IEEE Trans Power Syst 31(2):1330–1340

    Article  Google Scholar 

  • Mirhoseini SH, Hosseini SM, Ghanbari M, Ahmadi M (2014) A new improved adaptive imperialist competitive algorithm to solve the reconfiguration problem of distribution systems for loss reduction and voltage profile improvement, Int. Journal of Elec. Power Energy Syst 55:128–143

    Article  Google Scholar 

  • Moradijoz M, Moghaddam MP, Haghifam M-R (2018) A flexible distribution system expansion planning model: a dynamic bi-level approach. IEEE Trans Smart Grid 9(6):5867–5877

    Article  Google Scholar 

  • Mostafa HA, El-Shatshat R, Salama MMA (2013) Multi-objective optimization for the operation of an electric distribution system with a large number of single phase solar generators. IEEE Trans Smart Grid 4(2):1038–1047

    Article  Google Scholar 

  • Muñoz-Delgado G, Contreras J, Arroyo JM (2016) Multistage generation and network expansion planning in distribution systems considering uncertainty and reliability. IEEE Trans Power Syst 31(5):3715–3728

    Article  Google Scholar 

  • Nick M, Cherkaoui R, Paolone M (2018) Optimal planning of distributed energy storage systems in active distribution networks embedding grid reconfiguration. IEEE Trans Power Syst 33(2):1577–1590

    Article  Google Scholar 

  • Paterakis NG, Mazza A, Santos SF, Erdinç O, Chicco G, Bakirtzis AG, Catalão JPS (2016) Multi-objective reconfiguration of radial distribution systems using reliability indices. IEEE Trans Power Syst 31(2):1048–1062

    Article  Google Scholar 

  • Peng Q, Tang Y, Low SH (2015) Feeder reconfiguration in distribution networks based on convex relaxation of OPF. IEEE Trans Power Syst 30(4):1793–1804

    Article  Google Scholar 

  • Sekizaki S, Nishizaki I, Hayashida T (2019) A many-Objective evolutionary algorithm incorporating decision maker’s preference and its application to management of the electricity distribution network. J Multi-Criteria Decis Anal 26(3–4):165–186

    Article  Google Scholar 

  • Shen X, Shahidehpour M, Zhu S, Han Y, Zheng J (2018) Multi-stage planning of active distribution networks considering the co-optimization of operation strategies. IEEE Trans Smart Grid 9(2):1425–1433

    Article  Google Scholar 

  • Tabares A, Franco JF, Laborato M, Rider MJ (2016) Multistage long-term expansion planning of electrical distribution systems considering multiple alternatives. IEEE Trans Power Syst 31(3):1900–1914

    Article  Google Scholar 

  • Wang Y, Liu C, Shahidehpour M, Guo C (2016) Critical components for maintenance outage scheduling considering weather conditions and common mode outages in reconfigurable distribution systems. IEEE Trans Smart Grid 7(6):2807–2816

    Article  Google Scholar 

  • Wang L, Yan R, Saha TK (2018) Voltage management for large scale PV integration into weak distribution systems. IEEE Trans Smart Grid 9(5):4128–4139

    Article  Google Scholar 

  • Zare A, Chung CY, Zhan J, Faried SO (2018) A distributionally robust chance-constrained MILP model for multistage distribution system planning with uncertain renewables and loads. IEEE Trans Power Syst 33(5):5248–5262

    Article  Google Scholar 

  • Zidan A, Shaaban MF, El-Saadany EF (2013) Long-term multi-objective distribution network planning by DG allocation and feeders’ reconfiguration. Electr Power Syst Res 105:95–104

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the Chubu Electric Power Grid Company and the Chubu Electric Power Company. We sincerely appreciate the many valuable comments and suggestions from anonymous reviewers that helped to improve this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shinya Sekizaki.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sekizaki, S., Yamasaki, T., Nishizaki, I. et al. Distribution line downsizing based on a set of non-dominated solutions for a network reconfiguration problem of an electric distribution system with many objectives. Optim Eng 22, 1117–1139 (2021). https://doi.org/10.1007/s11081-020-09560-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11081-020-09560-5

Keywords

Navigation