2,128
Views
5
CrossRef citations to date
0
Altmetric
Research Article

Energy resilience through self-organization during widespread power outages

ORCID Icon, , , &
Pages 300-314 | Received 16 Jul 2019, Accepted 04 Sep 2019, Published online: 04 Oct 2019

References

  • Adu-Kankam, K. O., & Camarinha-Matos, L. M. (2018). Towards collaborative virtual power plants. Sustainable Energy, Grids and Networks, 16, 28–39.
  • Alemohammad, S. H., Mashhour, E., & Saniei, M. (2015). A market-based method for reconfiguration of distribution network. Electric Power Systems Research, 125, 15–22.
  • Andrieux, A., Czajkowski, K., Dan, A., Keahey, K., Ludwig, H., Nakata, T., … Xu, M. (2005). Web services agreement specification (WS-Agreement) version 2005/09 (Tech. Rep.). Grid Resource Allocation Agreement Protocol (GRAAP) WG.
  • Arghandeh, R., Brown, M., Del Rosso, A., Ghatikar, G., Stewart, E., Vojdani, A., & Von Meier, A. (2014). The local team: Leveraging distributed resources to improve resilience. IEEE Power and Energy Magazine, 12(5), 76–83.
  • 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.
  • Asmus, P. (2010). Microgrids, virtual power plants and our distributed energy future. The Electricity Journal, 23(10), 72–82.
  • Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O’Rourke, T. D., Reinhorn, A. M., … Von Winterfeldt, D. (2003). A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra, 19(4), 733–752.
  • Čaušević, S., Warnier, M., & Brazier, F. M. (2019 July 02). Self-determined distribution of local energy resources for ensuring power supply during outages. Energy Informatics, 2(1), 6. doi: https://doi.org/10.1186/s42162-019-0071-5.
  • Chanda, S., Srivastava, A. K., & Member, S. (2016). Defining and enabling resilienncy of electric distribution systems with multiple microgrids. IEEE Transactions on Smart Grid, 7(6), 2859–2868.
  • Clark, K. P. (2014). Negotiation and monitoring in open environments (Unpublished doctoral dissertation). Delft University of Technology.
  • Ettehadi, M., Member, S., Ghasemi, H., Member, S., & Member, S. (2013). Voltage stability-based DG placement in distribution networks. IEEE Transactions on Power Delivery, 28(1), 171–178.
  • Gabbar, H. A., & Zidan, A. (2016). Optimal scheduling of interconnected micro energy grids with multiple fuel options. Sustainable Energy, Grids and Networks, 7, 80–89.
  • Gasser, P., Lustenberger, P., Cinelli, M., Kim, W., Burgherr, P., Hirschberg, S., … Burgherr, P. (2019). A review on resilience assessment of energy systems. Sustainable and Resilient Infrastructure, 00(00), 1–27. doi:https://doi.org/10.1080/23789689.2019.1610600.
  • Gillespie-marthaler, L., Nelson, K. S., Baroud, H., David, S., Abkowitz, M., Nelson, K. S., … David, S. (2018). An integrative approach to conceptualizing sustainable resilience. Sustainable and Resilient Infrastructure, 00(00), 1–16. doi:https://doi.org/10.1080/23789689.2018.1497880.
  • Jordehi, A. R. (2018). How to deal with uncertainties in electric power systems? A review. Renewable and Sustainable Energy Reviews, 96(June 2017), 145–155.
  • Joshi, K., & Pindoriya, N. (2018). Advances in distribution system analysis with distributed resources: Survey with a case study. Sustainable Energy, Grids and Networks, 15, 86–100.
  • Koninklijk Nederlands Meteorologisch Institut. (n.d.). Retrieved from http://projects.knmi.nl/klimatologie/uurgegevens/selectie.cgi
  • Lemmens, J., van der Burgt, J., Bosma, T., van Den Wijngaart, van Bemmel, B., & Koelemeijer, R. (2014). Het potentieel van zonnestroom in de gebouwde omgeving van Nederland (Tech. Rep.). Planbureau voor de Leefomgeving.
  • Li, Z., Member, S., Jazebi, S., Member, S., & Le, F. D. (2017a). Determination of the optimal switching frequency for distribution system reconfiguration. IEEE Transactions on Power Delivery, 32(4), 2060–2069.
  • Li, Z., Shahidehpour, M., Aminifar, F., Alabdulwahab, A., & Al-Turki, Y. (2017b). Networked Micro- grids for enhancing the power system resilience. Proceedings of the IEEE, 105(7), 1289–1310.
  • Lipari, G., Del, G., Corchero, C., Ponci, F., & Monti, A. (2018). A real-time commercial aggregator for distributed energy resources flexibility management. Sustainable Energy, Grids and Networks, 15, 63–75.
  • Matasci, S. (2017). What is the average solar panel size and weight? Retrieved from http://news.energysage.com/average-solar-panel-size-weight/
  • NEDU - Verbruiksprofielen. (n.d.). Retrieved from http://nedu.nl/portfolio/verbruiksprofielen/
  • Nordman, M. M., & Lehtonen, M. (2005). An agent concept for managing electrical distribution networks. IEEE transactions on power delivery, 20(2), 696–703.
  • Office, E., & August, P. (2013). Economic benefits of increasing electric grid resilience to weather outages (Tech. Rep. No. August).
  • Panteli, M., & Mancarella, P. (2015a). The grid: Stronger, bigger, smarter? IEEE Power and Energy Magazine(April).
  • Panteli, M., & Mancarella, P. (2015b). Influence of extreme weather and climate change on the resilience of power systems: Impacts and possible mitigation strategies. Electric Power Systems Research, 127, 259–270.
  • Panteli, M., & Mancarella, P. (2015c). Operational resilience assessment of power systems under extreme weather and loading conditions. IEEE Power and Energy Society General Meeting, 2015- September, Denver, CO.
  • Panteli, M., Mancarella, P., Trakas, D. N., Kyriakides, E., & Hatziargyriou, N. D. (2017a). Metrics and quantification of operational and infrastructure resilience in power systems. IEEE Transactions on Power Systems, 32(6), 4732–4742.
  • Panteli, M., Trakas, D. N., Mancarella, P., & Hatziargyriou, N. D. (2017b). Power systems resilience assessment: Hardening and smart operational enhancement strategies. Proceedings of the IEEE, 105(7), 1202–1213.
  • Park, D. C., El-Sharkawi, M. A., Marks, R. J., Atlas, L. E., & Damborg, M. J. (1991, May). Electric load forecasting using an artificial neural network. IEEE Transactions on Power Systems, 6(2), 442–449.
  • Patel, M. R. (1999). Wind and solar power systems. Boca Raton, Florida: CRC Press.
  • Rao, R. S., Ravindra, K., Satish, K., & Narasimham, S. V. L. (2013). Power loss minimization in distribution system using network recon fi guration in the presence of distributed generation. IEEE Transactions on Power Systems, 28(1), 317–325.
  • Saxena, K., & Abhyankar, A. R. (2017). Agent-based decentralised load flow computation for smart management of distribution system. IET Generation, Transmission & Distribution, 11, 605–614.
  • Saxena, K., & Abhyankar, A. R. (2018). Distributed architecture for self-organising smart distribution systems. IET Smart Grid, 1, 113–122.
  • Suganthi, L., & Samuel, A. A. (2012). Energy models for demand forecasting—A review. Renewable and Sustainable Energy Reviews, 16(2), 1223–1240. http://www.sciencedirect.com/science/article/pii/S1364032111004242.
  • Tierney, K., & Bruneau, M. (2007). Conceptualizing and measuring resilience: A key to disaster loss reduction. TR News, 14–18.
  • Zhang, C., Wu, J., Long, C., & Cheng, M. (2017). Review of existing peer-to-peer energy trading projects. In The 8th international conference on applied energy (Vol. 105, pp. 2563–2568). The Author(s). doi: https://doi.org/10.1016/j.egypro.2017.03.737