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Distributed Energy Storage Optimization Location Method Based on Improved Voltage Distribution
Author(s) -
Huihui Zhu,
Fangyuan Tian,
Yan Li,
Kai Deng,
Yulong Feng,
Xiaobo Tang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/446/4/042072
Subject(s) - distributed generation , computer science , energy storage , correctness , voltage , distributed data store , node (physics) , offset (computer science) , grid , power (physics) , distributed computing , real time computing , engineering , electrical engineering , algorithm , renewable energy , mathematics , physics , geometry , structural engineering , quantum mechanics , programming language
Aiming at the problem of voltage overrun caused by large-scale distributed generation (DG) access to distribution network, a distributed energy storage optimization location method based on improved power quality is proposed. Firstly, the voltage governance mechanism of distributed energy storage access to distribution network with large-scale distributed generation is analyzed. Secondly, a distributed energy storage optimization site selection model is proposed, which can be solved in two stages: In the first stage, the power flow calculation is performed based on the typical time section, and the set of energy storage grid-connected nodes is determined by using the weighted voltage sensitivity. In the second stage, the distribution network voltage offset and active power loss optimization are taken as the objective functions. Each node in the set is selected as a parallel node for power flow calculation to determine the final grid-connected node by using the enumeration method. Finally, the improved IEEE33 node distribution network system is taken as an example to verify the correctness of the proposed model. The results of the example show that the distributed energy storage access can effectively support the voltage, and the proposed location model has good practicability.

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