Resilient Operation of Power Distribution Systems Using MPC-Based Critical Service Restoration: Preprint

Abinet Tesfaye Eseye, Bernard Knueven, Xiangyu Zhang, Matthew Reynolds, Wesley Jones

Research output: Contribution to conferencePaper


Power distribution systems are more prone to disruptions and cause most power system outages. We propose a service restoration technique to recover the system service (electricity delivery) following an extreme event-triggered substation outage. The proposed technique considers the problem of controlling distributed energy resources (DERs) of a distribution system with the objective of achieving maximum load pick up while satisfying network flow and voltage constraints. The problem is formulated as a model predictive control (MPC), where a linearized optimal power flow (OPF) model is employed to describe the network. The formulation is augmented with a ramping (up) reserve product for the DERs to ensure an upward monotonic load restoration as time evolves. We perform simulations considering the IEEE 13-bus test feeder integrated with wind, solar, microturbine, and energy storage devices. We demonstrate the efficacy of the devised technique in restoring the system loads monotonically, without shedding previously restored loads. We also show the benefit of co-optimization of power and reserve products for DERs on service restoration. In addition, the capability of the technique in regulating nodal voltages and reducing renewable power curtailment is demonstrated.
Original languageAmerican English
Number of pages9
StatePublished - 2021
Event2021 IEEE Green Technologies Conference -
Duration: 7 Apr 20219 Apr 2021


Conference2021 IEEE Green Technologies Conference

Bibliographical note

See NREL/CP-2C00-80859 for paper as published in proceedings

NREL Publication Number

  • NREL/CP-2C00-78359


  • DER
  • distribution system
  • extreme event
  • MPC
  • OPF
  • optimization
  • reserve
  • resiliency
  • restoration


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