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
Release time:2019-07-01
Hits:
- Indexed by:
- Journal paper
- Document Code:
- 18757832
- First Author:
- Mingyu Yan
- Correspondence Author:
- Mohammad Shahidehpour
- Co-author:
- Xiaomeng Ai,Zhiyi Li,Jinyu Wen,Shay Bahramira,Aleksi Paaso
- Journal:
- IEEE Transactions on Power Systems
- Included Journals:
- SCI
- Place of Publication:
- United States
- Discipline:
- Engineering
- First-Level Discipline:
- Electrical Engineering
- Document Type:
- J
- Volume:
- 34
- Issue:
- 4
- Page Number:
- 2663-2674
- ISSN No.:
- 0885-8950
- Key Words:
- Transmission grid resilience, mobile DC de-icing device routing, power system scheduling, mixed-integer secondorder cone programming, nested column-and-constraint algorithm.
- DOI number:
- 10.1109/TPWRS.2019.2899496
- Date of Publication:
- 2019-07-01
- Impact Factor:
- 7.326
- 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.
- Links to published journals:
- https://ieeexplore.ieee.org/abstract/document/8642947