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Achieving Further Optimization of Control Accuracy, Dispatchable Capacity, and Communication Costs Through Autonomous Distributed Control of Low
-Voltage Resources Using MEC + IoT-
Joint Research by Shibaura Institute of Technology and ENERES

2025.07.10

ENERES Co., Ltd.
Shibaura Institute of Technology

ENERES Co., Ltd. and Shibaura Institute of Technology are conducting research on distributed control methods that combine MEC-RM [1] technology with power control logic, continuing from last year, with the aim of improving control accuracy and dispatchable capacity of low-voltage resources in anticipation of the start of low-voltage resource trading in the supply-demand adjustment market. This year, we aim to improve the scalability of control resources and reduce communication costs by adding autonomous distributed control functions to IoT devices. The research period is scheduled to run until March 2026.

In the 2025 fiscal year research, we aim to achieve autonomous distributed control using “MEC + IoT,” which adds IoT to MEC servers. Specifically, in addition to conventional centralized control on MEC servers, we will also utilize the minimal computing power of IoT devices to enable mutual autonomous distributed control not only between MEC servers but also between IoT devices, thereby improving scalability such as the number of controllable resources in the system without increasing the computing power of MEC servers. Furthermore, advancing autonomous distributed processing on the IoT device side will also lead to reducing the number of control instructions from MEC servers, so we can also expect a reduction in communication costs. Additionally, we will work on examining how to maintain control accuracy when communication failures occur by utilizing this technology.


[1] Multi-Access Edge Computing Resource Management