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Collaborative Optimization of Post-Disaster Damage Repair and Power System Operation

The Shaanxi Key Laboratory of Smart Grid, The State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China
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Energies 2018, 11(10), 2611; https://doi.org/10.3390/en11102611
Received: 8 August 2018 / Revised: 26 August 2018 / Accepted: 28 August 2018 / Published: 30 September 2018
(This article belongs to the Section Electrical Power and Energy System)
After disasters, enhancing the resilience of power systems and restoring power systems rapidly can effectively reduce the economy damage and bad social impacts. Reasonable post-disaster restoration strategies are the most critical part of power system restoration work. This paper co-optimizes post-disaster damage repair and power system operation together to formulate the optimal repair route, the unit output and transmission switching plan. The power outage loss will be minimized, with possible small expense of damage repair and power system operation cost. The co-optimization model is formulated as a mixed integer second order cone program (MISOCP), while the AC-power-flow model, the complex power system restoration constraints and the changing processes of component available states are synthetically considered to make the model more realistic. Lagrange relaxation (LR) decomposes the model into the damage repair routing sub problem and the power system operation sub problem, which can be solved iteratively. An acceleration strategy is used to improve the solving efficiency. The proposed model and algorithm are validated by the IEEE 57-bus test system and the results indicate that the proposed model can realize the enhancement of resilience and the economic restoration of post-disaster power systems. View Full-Text
Keywords: power system restoration; resilience; damage repair; power system operation; co-optimization power system restoration; resilience; damage repair; power system operation; co-optimization
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Zhang, H.; Li, G.; Yuan, H. Collaborative Optimization of Post-Disaster Damage Repair and Power System Operation. Energies 2018, 11, 2611.

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