77
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Allocation and sizing of dispatchable distributed generators considering value addition in resiliency and sustainability of power delivery infrastructure

ORCID Icon &
Pages 223-241 | Received 05 May 2023, Accepted 16 Nov 2023, Published online: 25 Nov 2023

References

  • Adefarati, T., & Bansal, R. C. (2016, August). Integration of renewable distributed generators into the distribution system: A review. IET Renewable Power Generation, 10(7), 873–884. https://doi.org/10.1049/iet-rpg.2015.0378
  • Ali, A., Keerio, M. U., & Laghari, J. A. (2021, March). Optimal site and size of distributed generation allocation in radial distribution network using multiobjective optimization. Journal of Modern Power Systems and Clean Energy, 9(2), 404–415. https://doi.org/10.35833/MPCE.2019.000055
  • Arghandeh, R., Von Meier, A., Mehrmanesh, L., & Mili, L. (2016). On the definition of cyber-physical resilience in power systems. Renewable and Sustainable Energy Reviews, 58, 1060–1069. https://doi.org/10.1016/j.rser.2015.12.193
  • Bhusal, N., Abdelmalak, M., Kamruzzaman, M., & Benidris, M. (2020). Power system resilience: Current practices, challenges, and future directions. Institute of Electrical and Electronics Engineers Access, 8, 18064–18086. https://doi.org/10.1109/ACCESS.2020.2968586
  • Che, L., Khodayar, M., & Shahidehpour, M. (2014). Only connect: Microgrids for distribution system restoration. IEEE Power and Energy Magazine, 12(1), 70–81. https://doi.org/10.1109/MPE.2013.2286317
  • Coelho, L. S., Guerra, F. A., & Liete, J. (2012). Multiobjective exponential particle swarm optimization approach applied to hysteresis parameters estimation. IEEE Transactions on Magnetics, 48(2), 283–286. https://doi.org/10.1109/TMAG.2011.2172581
  • Coello, C. A., Pulido, G. T., & Lechuga, M. S. (2004). Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 8(3), 256–279. https://doi.org/10.1109/TEVC.2004.826067
  • Elattar, E. E., & Elsayed, S. K. (2020). Optimal location and sizing of distributed generators based on renewable energy sources using modified moth flame optimization technique. Institute of Electrical and Electronics Engineers Access, 8, 109625–109638. https://doi.org/10.1109/ACCESS.2020.3001758
  • Ghasemi, S., & Moshtagh, J. (2013). Radial distribution systems reconfiguration considering power losses cost and damage cost due to power supply interruption of consumers. International Journal on Electrical Engineering and Informatics, 5(3), 297–315. https://doi.org/10.15676/ijeei.2013.5.3.5
  • Gkaidatzis, P. (2019). Efficient res penetration under optimal distributed generation placement approach. Energies, 12(7), 1–32. https://doi.org/10.3390/en12071250
  • Hazra, J., & Sinha, A. K. (2010). A multiobjective optimal power flow using particle swarm optimization. European Transactions on Electrical Power, 21(1), 1028–1045. https://doi.org/10.1002/etep.494
  • Hou, H., Geng, H., Huang, Y., Wu, H., Wu, X., & Yu, S. (2019). Damage probability assessment of transmission line-tower system under typhoon disaster, based on model-driven and data-driven views. Energies, 12(8), 1–17. https://doi.org/10.3390/en12081447
  • Hung, D. Q., & Mithulananthan, N. (2013, April). Multiple distributed generator placement in primary distribution networks for loss reduction. IEEE Transactions on Industrial Electronics, 60(4), 1700–1708. https://doi.org/10.1109/TIE.2011.2112316
  • Injeti, S. K., & Thunuguntla, V. K. (2020). Optimal integration of DGs into radial distribution network in the presence of plug-in electric vehicles to minimize daily active power losses and to improve the voltage profile of the system using bio-inspired optimization algorithms. Protection and Control of Modern Power Systems, 5(3), 1–15. https://doi.org/10.1186/s41601-019-0149-x
  • Kayal, P. (2023). Resiliency improvement in power distribution infrastructure employing distributed generation and switches - a review summary. Energy, Ecology and Environment, 8(3), 1–16. https://doi.org/10.1007/s40974-023-00272-x
  • Kayal, P., & Chanda, C. K. (2013). Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvement. International Journal of Electrical Power & Energy Systems, 53, 795–809. https://doi.org/10.1016/j.ijepes.2013.05.047
  • Kayal, P., & Chanda, C. K. (2015). Optimal mix of solar and wind distributed generations considering performance improvement of electrical distribution network. Renewable Energy, 72, 173–186. https://doi.org/10.1016/j.renene.2014.10.003
  • Kayal, P., Khan, C. M., and Chanda, C. K. (2014). Selection of distributed generation for distribution network: A study in multi-criteria framework. In Proceedings of the 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC), Calcutta, India (pp. 269–274).
  • Kennedy, J. and Eberhart, R. C. (1995). Particle swarm optimization. in Proceedings of International Conference on Neural Network, Perth, WA, Australia (pp. 1942–1948).
  • Kizito, R., Li, X., Sun, K., & Li, S. (2020). Optimal distributed generator placement in utility-based microgrids during a large-scale grid disturbance. Institute of Electrical and Electronics Engineers Access, 8, 21333–21344. https://doi.org/10.1109/ACCESS.2020.2968871
  • Krishnasamy, S. G., & Ramani, N. (1989). Design wind loads for overhead power lines accounting for wind direction. Journal of Wind Engineering and Industrial Aerodynamics, 32(1–2), 63–72. https://doi.org/10.1016/0167-6105(89)90017-2
  • Liu, G., Jiang, T., Ollis, T. B., Li, X., Li, F., & Tomsovic, K. (2020). Resilient distribution system leveraging distributed generation and microgrids: A review. IET Energy Systems Integration, 2(4), 289–304. https://doi.org/10.1049/iet-esi.2019.0134
  • Mendiluce, M. (2014). Risky business: Building a resilient power sector. IEEE Power and Energy Magazine, 12(5), 34–41. https://doi.org/10.1109/MPE.2014.2331892
  • Moradi, M. H., Tousi, S. M. R., & Abedini, M. (2014, March). Multiobjective PFDE algorithm for solving the optimal siting and sizing problem of multiple DG sources. International Journal of Electrical Power & Energy Systems, 56, 117–126. https://doi.org/10.1016/j.ijepes.2013.11.014
  • Oboudi, M. H., Mohammadi, M., & Rastegar, M. (2019). Resilience oriented intentional islanding of reconfigurable distribution power systems. Journal of Modern Power System and Clean Energy, 7(4), 741–752. https://doi.org/10.1007/s40565-019-0567-9
  • Odoi-Yorke, F., & Woenagnon, A. (2021). Techno-economic assessment of solar PV/fuel cell hybrid power system for telecom base stations in Ghana. Cogent Engineering, 8(1911285), 1–25. https://doi.org/10.1080/23311916.2021.1911285
  • Pandey, S., Chanda, S., Srivastava, A. K., & Hovsapian, R. O. (2020). Resiliency-driven proactive distribution system reconfiguration with synchrophasor data. IEEE Transactions on Power Systems, 35(4), 2748–2758. https://doi.org/10.1109/TPWRS.2020.2968611
  • Pepermans, G., Driesen, J., Haeseldonckx, D., Belmans, R., & D’haeseleer, W. (2005, April). Distributed generation: definition, benefits and issues. Energy Policy, 33(6), 787–798. https://doi.org/10.1016/j.enpol.2003.10.004
  • Poudel, S., & Dubey, A. (2019, January). Critical load restoration using distributed energy resources for resilient power distribution system. IEEE Transactions on Power Systems, 34(1), 52–63. https://doi.org/10.1109/TPWRS.2018.2860256
  • Purlu, M., & Turkay, B. E. (2022). Optimal allocation of renewable distributed generations using heuristic methods to minimize annual energy losses and voltage deviation index. Institute of Electrical and Electronics Engineers Access, 10, 21455–21474. https://doi.org/10.1109/ACCESS.2022.3153042
  • Raquel, C. R. and Naval, P. C. (2005). An effective use of crowding distance in multi objective particle swarm optimization. In Proceedings of Genetic and Evolutionary Computation Conference, Washington DC, USA (pp. 257–264).
  • Reddy, G. H., Chakrapani, P., Goswami, A. K., & Choudhury, N. B. D. (2017). Optimal distributed generation placement in distribution system to improve reliability and critical loads pick up after natural disasters. Engineering Science and Technology, an International Journal, 20(3), 825–832. https://doi.org/10.1016/j.jestch.2017.05.001
  • Sheng, W., Liu, K. Y., Liu, Y., Meng, X., & Li, Y. (2015, April). Optimal placement and sizing of distributed generation via an improved nondominated sorting genetic algorithm II. IEEE Transactions on Power Delivery, 30(2), 569–578. https://doi.org/10.1109/TPWRD.2014.2325938
  • Shi, Q., Li, F., Olama, M., Dong, J., Xue, Y., Starke, M., Winstead, C., & Kuruganti, T. (2021, January). Network reconfiguration and distributed energy resource scheduling for improved distribution system resilience. International Journal of Electrical Power & Energy Systems, 124(106355), 1–10. https://doi.org/10.1016/J.IJEPES.2020.106355
  • Singh, R. K., & Goswami, S. K. (2011). Multiobjective optimization of distributed generation planning using impact indices and trade-off technique. Electric Power Components and Systems, 39(11), 1175–1190. https://doi.org/10.1080/15325008.2011.559189
  • Sultana, S., & Roy, P. K. (2014, December). Multiobjective quasi-oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems. International Journal of Electrical Power & Energy Systems, 63, 534–545. https://doi.org/10.1016/j.ijepes.2014.06.031
  • Sun, Q., Huang, B., Li, D., Ma, D., & Zhang, Y. (2016, June). Optimal placement of energy storage devices in microgrids via structure preserving energy function. IEEE Transactions on Industrial Informatics, 12(3), 1166–1179. https://doi.org/10.1109/TII.2016.2557816
  • Sun, W., Kadel, N., Alvarez‐Fernandez, I., Nejad, R. R., & Golshani, A. (2019). Optimal distribution system restoration using PHEVs. IET Smart Grid, 2(1), 42–49. https://doi.org/10.1049/iet-stg.2018.0054
  • Tak, L., Yadav, A. K., Singh, N. K., and Mahajan, V. (2020).Reliability assessment of Smart grid with renewable Energy sources, storage devices, and cyber intrusion. In International Conference on Smart Technologies for Energy, Environment, and Sustainable Development Singapore: Springer Nature Singapore. (pp. 525–542).
  • U.S. Department of Commerce (US DoC). (2013). Economic impact of hurricane sandy, potential economic activity lost and gained in New Jersey and New York (pp. 1–27). https://www.commerce.gov/sites/default/files/migrated/reports/sandyfinal101713.pdf
  • US Department of Energy. (2016, July). Combined heat and power technology fact sheet series DOE/EE-1329.
  • Wang, Y., Chen, C., Wang, J., & Baldick, R. (2015). Research on resilience of power systems under natural disasters—A review. IEEE Transactions on Power Systems, 31(2), 1604–1613. https://doi.org/10.1109/TPWRS.2015.2429656
  • Xu, Y., Liu, C.-C., Wang, Z., Mo, K., Schneider, K. P., Tuffner, F. K., & Ton, D. T. (2019, January). Dgs for service restoration to critical loads in a secondary network. IEEE Transactions on Smart Grid, 10(1), 435–447. https://doi.org/10.1109/TSG.2017.2743158
  • Xu, J., Zhang, T., Du, Y., Zhang, W., Yang, T., & Qiu, J. (2020). Islanding and dynamic reconfiguration for resilience enhancement of active distribution systems. Electric Power Systems Research, 189(1), 1–12. https://doi.org/10.1016/j.epsr.2020.106749
  • Yadav, A. K. and Mahajan, V. (2019). Reliability improvement of power system network with optimal transmission switching. In 2019 IEEE 1st international conference on energy, systems and information processing (ICESIP), Chennai, India (pp. 1–6).
  • Yadav, A. K., & Mahajan, V. (2022). Cyber-attack and reliability monitoring of the synchrophasor smart grid network. Jurnal Kejuruteraan, 34(6), 1149–1168. https://doi.org/10.17576/jkukm-2022-34(6)-15

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.