• DocumentCode
    3744148
  • Title

    A distributed strategy for electricity distribution network control in the face of DER compromises

  • Author

    Devendra Shelar;Jairo Giraldo;Saurabh Amin

  • Author_Institution
    Department of Civil and Environmental Engineering (CEE), Massachusetts Institute of Technology, USA
  • fYear
    2015
  • Firstpage
    6934
  • Lastpage
    6941
  • Abstract
    We focus on the question of distributed control of electricity distribution networks in the face of security attacks to Distributed Energy Resources (DERs). Our attack model includes strategic manipulation of DER set-points by an external hacker to induce a sudden compromise of a subset of DERs connected to the network. We approach the distributed control design problem in two stages. In the first stage, we model the attacker-defender interaction as a Stackelberg game. The attacker (leader) disconnects a subset of DERs by sending them wrong set-point signals. The distribution utility (follower) response includes Volt-VAR control of non-compromised DERs and load control. The objective of the attacker (resp. defender) is to maximize (resp. minimize) the weighted sum of the total cost due to loss of frequency regulation and the cost due to loss of voltage regulation. In the second stage, we propose a distributed control (defender response) strategy for each local controller such that, if sudden supply-demand mismatch is detected (for example, due to DER compromises), the local controllers automatically respond based on their respective observations of local fluctuations in voltage and frequency. This strategy aims to achieve diversification of DER functions in the sense that each uncompromised DER node either contributes to voltage regulation (by contributing reactive power) or to frequency regulation (by contributing active power). We illustrate the effectiveness of this control strategy on a benchmark network.
  • Keywords
    "Density estimation robust algorithm","Generators","Voltage control","Frequency control","Decentralized control","Load modeling","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
  • Type

    conf

  • DOI
    10.1109/CDC.2015.7403312
  • Filename
    7403312