Joint Optimal Planning of Distributed Generations and Sensitive Users Considering Voltage Sag

The inevitable voltage sag events cause losses to distributed generation (DG) and sensitive users. Reasonable planning for both of them helps to mitigate the impact of voltage sag. In this paper, a joint optimal planning method is proposed for DG and large sensitive user (LSU) considering the influe...

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Bibliographic Details
Published in:IEEE transactions on power delivery 2022-02, Vol.37 (1), p.93-104
Main Authors: Wang, Ying, Luo, Hao, Xiao, Xian-Yong
Format: Article
Language:English
Subjects:
Acceleration
Biological system modeling
Chains
Circuit faults
Distributed generation
Economics
optimal planning
Planning
Power grids
Power quality
sensitive user
voltage sag
Voltage sags
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Summary:The inevitable voltage sag events cause losses to distributed generation (DG) and sensitive users. Reasonable planning for both of them helps to mitigate the impact of voltage sag. In this paper, a joint optimal planning method is proposed for DG and large sensitive user (LSU) considering the influence of voltage sag. Firstly, the new models of accelerated trip and chain trip for DG under voltage sag are established, to characterize the influence of DG tripping on other DG and sag characteristics during the sag event accurately. Secondly, a new voltage sag frequency assessment method is proposed, which considers models of accelerated trip and chain trip for DG, the tripping characteristics of distance protection (DP), to quantify the voltage sag severity accurately of DGs and LSUs in the gird which is with DP. Lastly, a joint optimal planning model is established considering the losses of DG and LSU under voltage sag, to support the planning of DG and LSU in different scenarios. The method is applied to IEEE RTS-30 for verification, proving that the method can give a direction of the most beneficial solution for the planner, to reduce the losses of voltage sag to both the power system and users.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2021.3053996