Welcome to 
Open Invited Track 178
for TC6.3A of IFAC WC2026
in Busan, South Korea

1. Title of the open invited track session

Advanced Methods for Active Distribution Networks under Smart Grids

2. Organizers

Dr. Hiroyuki Mori, Polaris Grid, Inc./Meiji University, Japan

Prof. Masahide Hojo, Tokushima University, Japan

Prof. Nobuyuki Yamaguchi, Tokyo University of Science, Japan

Prof. Mutsumi Aoki, Nagaya Institute of Technology, Japan

Prof. Yutaka Sasaki, Hiroshima University, Japan

Prof. Shinya Sekizaki, Hiroshima University, Japan

3. Abstract

This open invited track emphasizes cutting-edge methods for effectively managing active distribution networks within Smart Grids. As distribution networks increasingly embrace innovative technologies—such as Demand Response (DR), Energy Storage Systems (ESSs), Vehicle-to-Grid (V2G) interactions, and renewable energy sources like photovoltaic (PV) systems and wind farms—they are evolving into complex systems that require sophisticated solutions. The rising importance of Distributed Energy Resources (DERs) like DR, renewables, and ESSs as essential control mechanisms in Active Distribution Networks (ADNs) is transforming the landscape. Unlike traditional passive distribution networks, ADNs enable dynamic, bidirectional power flow, creating opportunities for enhanced efficiency and resilience. However, the integration of these DERs also presents challenges, introducing nonlinearities and uncertainties that demand the development of advanced management strategies. To unlock the full potential of ADNs and ensure their seamless operation, innovative approaches are essential. This track invites participants to contribute to shaping the future of smart, efficient energy distribution.​​

4. Code for Submitting Contributions

88hwj

5. Contact Information

Dr. Hiroyuki Mori, Polaris Grid, Inc./Meiji University, Japan

Phone: +81-90-9304-5909

Email address: hmori2911@gmail.com, hmori@meiji.ac.jp​

6. Detailed Description

This open invited track collects contributions in areas of Active Distribution Networks, including but not limited to:

-Optimization of DER integration

-Loss minimization, including network reconfiguration

-Voltage and reactive power control

-Decentralized/parallel approaches

-Distribution network state estimation

-Load estimation

-Protection and fault detection

-Distribution network service restoration

-Stochastic optimization

-Robust Optimization

-Flexibility enhancement

-Resilience

-Application of micro-PMU to Active Distribution Networks

-Application of D-FACTS to Active Distribution Networks

-Grid-forming microgrid operation

-VPPs in Microgrids

-Distribution network planning in consideration of uncertainties

-DSO-level contract markets

-Simulators for Active Distribution Networks

-Applications of AI/Machine Learning to Active Distribution Networks

-Optimization of Active Distribution Networks with Evolutionary Computation