Robust coordination of repair and dispatch resources for post-disaster service restoration of the distribution system

Author(s):  
Hao Wu ◽  
Yunyun Xie ◽  
Yan Xu ◽  
Qiuwei Wu ◽  
Chen Yu ◽  
...  
Author(s):  
Rathana Lorm ◽  
Samphors Eng ◽  
Sievlong Suk ◽  
Chhith Chhlonh ◽  
Long Bun ◽  
...  

2015 ◽  
Vol 737 ◽  
pp. 181-186
Author(s):  
Xiao Yun Huang ◽  
Fei Jin Peng ◽  
Hong Yuan Huang ◽  
Zhi Wen Xie

Abstract: On the condition of protecting the critical load, it is necessary to restore the service of outage area without fault as soon as possible after the occurrence of fault in smart distribution system. A fast service restoration method is proposed for medium-voltage distribution system with distributed generations, which combines intentional islanding of DGs for network reconfiguration. Under the condition of safety limits, the out of service areas are achieved maximization of restoration, making full use of DGs. The whole process of restoration is regarded as a multi-stages decision problem, and divided into four stages. Compared to the existing algorithms, this method can effectively avoid the time-consuming and search results problems, and the simulation results are better. The effectiveness and practicality of the propose approach is demonstrated by simulations on a PG&E 69-nodes system with DGs.


2014 ◽  
Vol 672-674 ◽  
pp. 1175-1178
Author(s):  
Guang Min Fan ◽  
Ling Xu Guo ◽  
Wei Liang ◽  
Hong Tao Qie

The increasingly serious energy crisis and environmental pollution problems promote the large-scale application of microgrids (MGs) and electric vehicles (EVs). As the main carrier of MGs and EVs, distribution network is gradually presenting multi-source and active characteristics. A fast service restoration method of multi-source active distribution network with MGs and EVs is proposed in this paper for service restoration of distribution network, which takes effectiveness, rapidity, economy and reliability into consideration. Then, different optimal power flow (OPF) models for the service restoration strategy are constructed separately to minimize the network loss after service restoration. In addition, a genetic algorithm was introduced to solve the OPF model. The analysis of the service restoration strategy is carried out on an IEEE distribution system with three-feeder and eighteen nodes containing MGs and EVs, and the feasibility and effectiveness are verified


Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1591 ◽  
Author(s):  
Bałut ◽  
Brodziak ◽  
Bylka ◽  
Zakrzewski

: On the maintenance task list of each water distribution system (WDS) operator, determination of the order of undertaken repairs seems quite a typical task. Characteristics of damages, their localization, and other factors that influence repair sequencing have a sound impact on the execution of such tasks. In the case of the most complex cases where numerous failures of different types occur at the very same time (i.e., due to earthquakes), there is a long list of selection criteria that have to be analyzed to deliver an objectively logical schedule for repair teams. In this article, authors attempt to find out if it is possible to define pipe rankings in having obtained the best factors for defined objective functions (criteria), making it feasible to deliver judicious repair sequencing. For the purposes of this paper, a survey has been carried out. Its conclusions made it possible to propose a method to create rankings of pipes and evaluate them using a selected multicriteria decision method: preference ranking organization method for enrichment evaluation (PROMETHEE). The work was carried out for five different disaster scenarios that had been supplied by ‘The Battle of Post-Disaster Response and Restoration’ organization committee. Obtained results might be further used to finetune this sequencing method of undertaken repairs, while conclusions could be useful to model similar events in WDS when required. This article is an extended paper based on the conference preprint presented at the 1st International Water Distribution Systems Analysis (WDSA)/International Computing & Control for the Water Industry (CCWI) Joint Conference in July 23–25, 2018 in Kingston, Ontario, Canada.


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