Distribution network reconfiguration based on vector shift operation

To make an appropriate compromise between the solving speed and solution quality for a distribution network with distributed generations (DGs), an efficient reconfiguration algorithm based on vector shift operation (VSO) considering DGs is proposed. The nodal equivalent power model considering the i...

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Bibliographic Details
Published inIET generation, transmission & distribution Vol. 12; no. 13; pp. 3339 - 3345
Main Authors Ji, Xingquan, Liu, Qi, Yu, Yongjin, Fan, Shuxian, Wu, Na
Format Journal Article
LanguageEnglish
Published The Institution of Engineering and Technology 31.07.2018
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Summary:To make an appropriate compromise between the solving speed and solution quality for a distribution network with distributed generations (DGs), an efficient reconfiguration algorithm based on vector shift operation (VSO) considering DGs is proposed. The nodal equivalent power model considering the influence of DGs is established. Power moment is selected as an index to decide whether load flow calculation or VSO should be conducted. In the former case, all bus voltages are updated and then be regarded as the initial condition for VSO. In the latter case, the power and resistance vectors are first formulated based on the structure and parameters of the distribution system, and the variation of power loss after branch exchange is then calculated based on these vectors instead of the time-consuming load flow calculation. The power and resistance vectors are updated by simple element shift operation after each step of branch exchanging. The final optimal solution is obtained when the open-branch set remains unchanged after branch exchanging. The proposed VSO-based reconfiguration algorithm is applied to a practical distribution system in Taiwan. The influences of the DGs and network reconfiguration on power loss and nodal voltages are illustrated. Test results show that the proposed reconfiguration algorithm is feasible and efficient.
ISSN:1751-8687
1751-8695
1751-8695
DOI:10.1049/iet-gtd.2018.0099