A multi-objective reconfiguration method for distribution networks considering the wind-photovoltaic-load uncertainty and correlation

With the advancement of new-type power systems， the large-scale integration of distributed generation （DG） poses challenges to the optimal operation of distribution networks. In response， a multi-objective reconfiguration method for distribution networks is proposed， which takes account of the wind-...

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Bibliographic Details
Published inZhejiang Dianli Vol. 43; no. 8; pp. 20 - 27
Main Authors LI Yanjun, HE Yuwei, SHENG Fang, XU Jiaxuan, WANG Weixi, XU Enchao, XIANG Xiang
Format Journal Article
LanguageChinese
Published zhejiang electric power 01.08.2024
Subjects
copula theory
correlation
multi-objective reconfiguration
network vulnerability
uncertainty
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Summary:With the advancement of new-type power systems， the large-scale integration of distributed generation （DG） poses challenges to the optimal operation of distribution networks. In response， a multi-objective reconfiguration method for distribution networks is proposed， which takes account of the wind-photovoltaic-load uncertainty and correlation. The Copula theory is applied to construct a correlation model， and wind speed-irradiance-load correlation samples are obtained through Spearman’s rank correlation coefficient. By introducing complex network theory， the paper addresses the network vulnerability considering the intermittency of wind and photovoltaic output powers. To minimize network losses， network vulnerability， and switching times of switchgears at a certain confidence level， a multi-objective coordinated optimization reconfiguration model considering the uncertainty of wind， solar， and load output is established based on chance-constrained programming， and a parameter adaptive algorithm is applied to
ISSN:1007-1881
DOI:10.19585/j.zjdl.202408003