997476 -0. 06551 1000862913.
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995983 -0. 10443 1000862914.
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995983 -0. 10443 1000862915.
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995983 -0. 10443 1000866049.
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996231 -0. 09769 1000866051.
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997938 -0. 0536 1000866499.
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997938 -0. 0536 1000866500.
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997938 -0. 0536 1000867012.
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996231 -0. 09769 1000867013.
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996231 -0. 09769 1000885964.
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988448 -0. 31211 1000885990.
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988112 -0. 32094 1000886014.
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995218 -0. 12443 1000886040.
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995477 -0. 11765 1000886072.
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989752 -0. 27785 1000886096.
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990224 -0. 26547 Table 2: Line flows as part of the results from power flow analysis Section ID Active power at sending bus Active power at receiving bus 1002146611 -0. 7188-j0. 0810.
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7189+j0. 0812 1002154139.
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0221+j0. 0025 -0. 0221-j0. 0025 1002154235.
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0442+j0. 0049 -0. 0442-j0. 0049 1002154236.
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0221+j0. 0025 -0. 0221-j0. 0025 Table 3: Reliability results for zones Zone ID ZAIFI ZAIDI 1002146611.
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367938 1002149322.
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489606 1002154139.
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487796 1002160724.
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824074 1002160821.
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818442 1002160871.
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787994 1002161165.
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842642 1002171489.
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210984 1002171497.
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175646 1002171979.
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012584 1002171985.
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341862 Table 4: Reliability results for feeders Feeder ID AFAI FAIFI FAIDI 1000856506.
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[46]
9127 1000875914.
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[8]
25777 1000863632.
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[1]
18015 1000878002.
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[10]
8312 1000866559.
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[9]
44014 1000866053.
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483406 1000869845.
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[3]
29544 1000869860.
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045617 1000858725.
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[2]
75849 1000861986.
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[25]
9292 1000878003.
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[1]
37473 1000874953.
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[13]
7827 1000870507.
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[1]
60062 1000871184.
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[14]
6841 1000863391.
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[16]
2779 1000873056.
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[4]
83596 1000873076.
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[1]
44199 1000886302.
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040293 1000886677.
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033759 Table 5: Reliability results for the system ASAI SAIFI SAIDI.
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143857 According to Table 5, the worst' five feeders in terms of reliability are feeders 100856506, 1000861986, 1000863391, 1000871184, and 1000874953, as shown in bold in the table. This result suggests that sectionalizing switches/breakers and normally open switches be increased, thus to reduce the range affected by faults and annual outage duration. Alternatively, these overhead lines can be replaced by cables, so that equipment failure rates are significantly reduced. Conclusions This paper introduced a comprehensive distribution network planning platform involving three innovations: 1) it effectively improves data quality by diagnosing and corrective raw CIM-based data; 2) it calculates feeder-based indexes and zone-based indexes; 3) it uses an efficient zone-based reliability analysis algorithm. Its effectiveness and robustness were demonstrated via field deployment in Tianjin. Acknowledgements The authors would like to thank State Grid Corporation of China for its support of this work. This work, as part of the project "Research and development of key technologies for improving the capability of distribution grids to tackle faults, (Project No.: 2012-094, initiated in 2012), is funded by State Grid Corporation of China. Reference.
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