Abstract

Resilience is the ability of a system to withstand and recover from deliberate accidents; as to distribution systems, it means the ability to withstand and recover from natural disasters or other serious accidents and ensure electricity supply. Generally, promotion strategies of distribution network resilience mostly focus on electrical topology planning and reinforcement. The operation strategies in emergency repair stage are frequently ignored, especially the complex coupling relationship between distribution network, traffic network, and maintenance teams. A model of resilience improvement for a complicated distribution-traffic-human coupling system under hurricane disasters considering is presented. Firstly, based on the influence spreading mechanism of a hurricane acting on the distribution and traffic part of the system, a fault analysis model of rush repair is constructed. Secondly, according to the function of human resources in shortening the repair time and improving system resilience, an optimization model of emergency repair strategy is proposed. Taking into account the repair demand, traffic cost, and personnel operating and executing ability, the optimized strategy can minimize the social loss in the whole repair and recovery process after hurricane disaster. Furthermore, three indices, including system adaptability, repair rate, and economic loss rate, are proposed to quantify the resilience of distribution network. Finally, case studies on the IEEE33 bus system are implemented to verify the effectiveness of the proposed model.

Highlights

  • Extreme weather events, in particular hurricanes, have a great impact on electric infrastructures, resulting in extensive damages and significant economic and social losses

  • We perform numerical experiments on a IEEE33 bus distribution system. e test system is fitted into an area that covers the range of latitude (28.725°N-29.125°N) and longitude (95.2°W-95.5°W), for demonstration purposes only. ere are 37 lines, 5 contract switches, and 33 nodes in the primary network, as shown in Figure 5. e system voltage level is at 12.66 kV and the total load is 3775 kW + j2300kvar [38]

  • E load types of each node are shown in Table 2 for evaluating the economic loss. e human resources of emergency repair include repair teams and repair resource reserve, which impact the distribution network resilience

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Summary

Introduction

In particular hurricanes, have a great impact on electric infrastructures, resulting in extensive damages and significant economic and social losses. In [22], the authors proposed a model to evaluate the distribution network resilience, considering the impact of grid reconstruction and repair-recovery strategy. Studies focused on the resilience during the emergency repair process after extreme weather events (e.g., hurricane disasters) hit distribution network. Figuring out and applying the mechanism of human resources in the complicated distribution-traffic coupling system during the emergency repair process could enhance the system resilience. According to the postdisaster emergency repair process, determine the mechanism of human resources in improving the complicated distribution-traffic network resilience. An optimization model of emergency repair strategy is proposed, considering repair demands, traffic cost, and the operation ability of the repair team, to minimize the social loss caused by the whole emergency repair process.

Random Scene Model
Repair Strategy Optimization Model
Resilience Evaluation
Results and Discussion
Conclusions
Full Text
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