Enhancing the Transmission Grid Resilience in Ice Storms by Optimal Coordination of Power System Schedule With Pre-Positioning and Routing of Mobile DC De-Icing Devices

This paper proposes a resilience enhancement strategy for power transmission system against ice storms by the optimal coordination of power system schedule with the pre-positioning and routing of mobile dc de-icing devices (MDIDs). A two-stage robust optimization model is established to accommodate...

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Vydáno v:IEEE transactions on power systems Ročník 34; číslo 4; s. 2663 - 2674
Hlavní autoři: Yan, Mingyu, Ai, Xiaomeng, Shahidehpour, Mohammad, Li, Zhiyi, Wen, Jinyu, Bahramira, Shay, Paaso, Aleksi
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.07.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Coordination
Data buses
Decisions
Electric power grids
Electricity distribution
Electronic devices
Ice cover
Ice formation
Ice thickness
mixed-integer second-order cone programming
mobile DC de-icing device routing
nested column-and-constraint algorithm
Optimization
Performance enhancement
power system scheduling
Power transmission lines
Real time operation
Resilience
Roads & highways
Robustness (mathematics)
Schedules
Storms
Thickness
Transmission grid resilience
Transmission lines
Unit commitment
ISSN:0885-8950, 1558-0679
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Shrnutí:This paper proposes a resilience enhancement strategy for power transmission system against ice storms by the optimal coordination of power system schedule with the pre-positioning and routing of mobile dc de-icing devices (MDIDs). A two-stage robust optimization model is established to accommodate the variable ice thickness on transmission lines. The first stage coordinates the pre-positioned MDIDs and unit commitment in day-ahead. These decisions, which are based on a robust approach, can accommodate the variable ice thickness in which the coordinated real-time schedule would always be feasible with respect to day-ahead decisions. At the second stage, the real-time operation, which integrates the power system dispatch, de-icing schedule, and MDID routing, is scheduled according to the real-time ice thickness. Auxiliary variables are adopted to convert the proposed nonconvex nonlinear model to a mixed-integer second-order cone programming (MISOCP) problem. The nested column-and-constraint generation algorithm is utilized to solve the two-stage robust MISOCP problem. Several computational enhancement strategies including Lagrangian relaxation are proposed to improve the performance of the proposed resilience enhancement strategy. Numerical results for an integrated 6-bus 6-node electricity-road network and a real-world example employed in China show the effectiveness of the proposed model and solution technique for enhancing the transmission grid resilience.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2019.2899496