• DocumentCode
    735836
  • Title

    Preemptive network reinforcement at LV level considering uncertainty in prediction of PV penetration scenarios

  • Author

    Idlbi, Basm ; Scheidler, Alexander ; Stetz, Thomas ; Braun, Martin

  • Author_Institution
    Fraunhofer IWES, Department: Distribution System Operation, Germany
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Due to high renewable energy share in the distribution networks, reverse power flows can be observed, leading to challenges for the distribution network operators (DNOs). In case of high photovoltaic (PV) penetration in low voltage (LV) level, the LV networks are susceptible to voltage violations and overloading problems, especially at peak feed-in hours. This raises the necessity to undertake reinforcement measures by DNOs in order to maintain normal operation conditions. This paper analyzes the economic viability of the preemptive implementation of network reinforcement under consideration of the future PV penetration scenarios. To this end, the investment costs of reinforcement with four exemplary LV networks are calculated for 20 year scenarios of high PV penetration. The costs are calculated utilizing preemptive strategy and also a non-preemptive reference strategy. The cost saving potential with preemptive strategy considering theoretical perfect prediction of future scenarios as well as with inaccurate prediction is evaluated. The results show that the preemptive reinforcement has high potential for cost saving in the case of accurate prediction. Nevertheless, the cost saving drops when the accuracy decreases, hence it can be even higher than the reference strategy if the prediction certainty is too low.
  • Keywords
    Joints; Lead; Load modeling; Planning; Uncertainty; Overloading; Preemptive Network Planning; Reinforcement Measure; Voltage Violation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2015 IEEE Eindhoven
  • Conference_Location
    Eindhoven, Netherlands
  • Type

    conf

  • DOI
    10.1109/PTC.2015.7232793
  • Filename
    7232793