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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Published in:IEEE transactions on power systems Vol. 34; no. 4; pp. 2663 - 2674
Main Authors: Yan, Mingyu, Ai, Xiaomeng, Shahidehpour, Mohammad, Li, Zhiyi, Wen, Jinyu, Bahramira, Shay, Paaso, Aleksi
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
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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Abstract 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.
AbstractList 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.
Author Wen, Jinyu
Yan, Mingyu
Li, Zhiyi
Bahramira, Shay
Ai, Xiaomeng
Paaso, Aleksi
Shahidehpour, Mohammad
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Snippet This paper proposes a resilience enhancement strategy for power transmission system against ice storms by the optimal coordination of power system schedule...
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SubjectTerms 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
Title 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
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