4.6 Article

Optimal Blocking Device Placement for Geomagnetic Disturbance Mitigation

Journal

IEEE TRANSACTIONS ON POWER DELIVERY
Volume 34, Issue 6, Pages 2219-2231

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRD.2019.2930998

Keywords

Geomagnetically induced current (GIC); power system analysis; blocking device (BD); optimal placement; simulated annealing (SA); time-varying geoelectric field

Funding

  1. National Science Foundation [1520864, 1807097]
  2. Directorate For Engineering
  3. Div Of Electrical, Commun & Cyber Sys [1807097] Funding Source: National Science Foundation
  4. Directorate For Geosciences
  5. Division Of Earth Sciences [1520864] Funding Source: National Science Foundation

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Geomagnetically induced currents (GICs) introduced by geomagnetic disturbances (GMDs) can damage transformers, increase reactive power losses, and cause reliability issues in power systems. Finding an optimal strategy to place blocking devices (BDs) at transformer neutrals is essential to mitigating the negative impact of GICs. In this paper, we study and solve the problem of optimal BD placement (OBP), aiming at minimizing the damages of GMDs, subject to various practical constraints. In particular, our approach accounts for the potential impact of BD placement to neighboring interconnected systems; we also consider the time-varying nature of the geoelectric field in BD placement. To the best of our knowledge, neither has been considered in the existing works. Under these constraints, the combined complexity of solving the OBP problem on a large-scale system poses a big challenge. To address this, we developed a simulated annealing-based algorithm that can achieve near-optimal solutions for the OBP problem at a reduced computational complexity, while taking the above constraints into account. More importantly, this paper provides a general mathematical framework that can be used to solve various OBP problems, with different objective functions and constraints. We demonstrated the effectiveness and the efficiency of our method by using power systems of various sizes.

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