A Mixed Integer Quadratic Programming Model for Topology Identification in Distribution Network
This letter presents a mixed integer quadratic programming (MIQP) based topology identification model, which is suitable for radially operated distribution networks. This approach finds the topology configuration with weighted least square (WLS) of measurement residues. Validity of the proposed meth...
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| Veröffentlicht in: | IEEE transactions on power systems 2016-01, Vol.31 (1), p.823-824 |
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| container_title | IEEE transactions on power systems |
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| creator | Tian, Zhuang Wu, Wenchuan Zhang, Boming |
| description | This letter presents a mixed integer quadratic programming (MIQP) based topology identification model, which is suitable for radially operated distribution networks. This approach finds the topology configuration with weighted least square (WLS) of measurement residues. Validity of the proposed method is demonstrated using an IEEE 33-bus test network. |
| doi_str_mv | 10.1109/TPWRS.2015.2394454 |
| format | Article |
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| source | IEEE Electronic Library (IEL) |
| subjects | Accuracy Distribution networks Least squares method Mixed integer mixed integer quadratic programming Network topology Networks Power measurement Quadratic programming Reactive power Real-time systems Residues Topology topology identification Voltage measurement |
| title | A Mixed Integer Quadratic Programming Model for Topology Identification in Distribution Network |
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