Open Access
EPJ Web Conf.
Volume 217, 2019
International Workshop on Flexibility and Resiliency Problems of Electric Power Systems (FREPS 2019)
Article Number 01013
Number of page(s) 6
Published online 15 October 2019
  1. A. Primadianto and C. Lu, “A review on distribution system state estimation,” IEEE Transactions on Power Systems, Vol. 32, No. 5, pp. 3875-3883, 2017. [CrossRef] [Google Scholar]
  2. J. Wu, Y. He, and N. Jenkins, “A robust state estimator for medium voltage distribution networks,” IEEE Transactions on Power Systems, Vol. 28, No. 2, pp. 1008-1016, 2013. [CrossRef] [Google Scholar]
  3. R. Singh, B. C. Pal, and R. B. Vinter, “Measurement placement in distribution system state estimation,” IEEE Transactions on Power Systems, Vol. 24, No. 2, pp. 668-675, 2009. [CrossRef] [Google Scholar]
  4. H. Chen and A. Moser, Eds., Improved flexibility of active distribution grid by remote control of renewable energy sources: 2017 6th International Conference on Clean Electrical Power (ICCEP), 2017. [Google Scholar]
  5. D. Mayorga Gonzalez, J. Hachenberger, J. Hinker, F. Rewald, U. Häger, C. Rehtanz, and J. Myrzik, “Determination of the time-dependent flexibility of active distribution networks to control their tsodso interconnection power flow,” in 2018 Power Systems Computation Conference (PSCC), 2018, pp. 1-8. [Google Scholar]
  6. D. A. Contreras and K. Rudion, Eds., Improved Assessment of the Flexibility Range of Distribution Grids Using Linear Optimization: 2018 Power Systems Computation Conference (PSCC), 2018. [Google Scholar]
  7. B. Bauernschmitt, R. Palaniappan, D. Hilbrich, and C. Rehtanz, “Modular configurable and testable automation architecture for future active electrical energy grids: 2018 53rd international universities power engineering conference (upec).” [Google Scholar]
  8. C. Wagner, Integration und Bewertung der Spitzenkappung als Planungsgrundsatz zur wirtschaftlichen Netzentwicklung in Mittelspannungsnetzen, 1st ed., ser. Dortmunder Beiträge zu Energiesystemen, Energieeffizienz und Energiewirtschaft. Herzogenrath: Shaker, 2019, Vol. 6. [Google Scholar]
  9. O. Pohl, F. Rewald, S. Dalhues, P. Jörke, C. Rehtanz, C. Wietfeld, A. Kubis, R. K. Tamgue, and D. Kirsten, “Advancements in distributed power flow control,” in 2018 53rd International Universities Power Engineering Conference (UPEC), 2018. [Google Scholar]
  10. A. Abur and A. G. Exposito, Power System State Estimation: Theory and Implementation, ser. Power Engineering (Willis). Hoboken: Marcel Dekker Inc, 2004. [CrossRef] [Google Scholar]
  11. E. Handschin, Elektrische Energieübertra-gungssysteme, 2nd ed., ser. ELTEX. Heidelberg: Hüthig, 1987. [Google Scholar]
  12. G. Bei, “Observability analysis for state estimation using hachtel’s augmented matrix method,” Electric Power Systems Research, Vol. 77, No. 7, pp. 865-875, 2007. [CrossRef] [Google Scholar]
  13. F. Capitanescu, Ed., TSO–DSO interaction: Active distribution network power chart for TSO ancillary services provision, Vol. 163, 2018. [Google Scholar]

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