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\title{Data-Model Hybrid Driven Dynamic Optimal Voltage Control for AC/DC
Hybrid Distribution Network}



\author[1]{Xiaolong Xiao}%
\author[2]{Xiaoxing Lu}%
\author[2]{Chenyu Zhang}%
\author[2]{Ning Guo}%
\author[2]{Fan Wu}%
\author[2]{Jiahao Guo}%
\affil[1]{Southeast University}%
\affil[2]{State Grid Jiangsu Electric Power Co Ltd Research Institute}%


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  \date{April 25, 2026}


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\begin{abstract}
With the development of power electronics technology, AC/DC hybrid
distribution networks have gradually become an important form of
distribution networks in the future and have attracted widespread
attention. The high proportion access of distributed new energy
represented by distributed photovoltaic (PV) brings great challenges to
the safe and stable operation of AC/DC hybrid distribution networks,
meanwhile the randomness and fluctuation of PVs' power output put
forward higher requirements for the real-time and dynamic response of
the AC/DC hybrid distribution network optimal voltage control. Firstly,
the Q-V voltage control model for PV in AC network and P-V voltage
control model for PV in DC network are established. Then, the dynamic
optimal voltage control model of AC/DC hybrid distribution network is
constructed. After that, the data-driven and model-driven control
strategies are combined, the voltage control controller is trained
through the Multi-agent Gradient Descent Strategy (MADDPG) to solve the
optimal adjustment action value of the PV droop parameter in the
real-time state, so as to realize the online dynamic voltage control of
AC/DC hybrid distribution network.%
\end{abstract}%



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\textbf{Hosted file}

\verb`DataModel Hybrid Driven Dynamic Optimal Voltage Control for ACDC Hybrid Distribution Network.docx`  available at \url{https://authorea.com/users/799317/articles/1259349-data-model-hybrid-driven-dynamic-optimal-voltage-control-for-ac-dc-hybrid-distribution-network}

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