DC Microgrid Simulator Data Files (Japan 2023)
Description
This dataset contains the MATLAB data files required for the DC Microgrid Simulator developed by Hirohito Yamada (Sendai, Japan).
Version 3.0 introduces a new data-handling scheme in which the simulator directly uses original hourly weather and load datasets. Cubic-spline interpolation is performed dynamically during simulation, significantly reducing memory requirements compared with previous versions.
The dataset includes:
- Plane-of-array irradiance (POA) and temperature-correction data for photovoltaic generation
- Wind-speed data for wind-power simulation
- Residential load profiles for five houses
- EV charging load data
The datasets are provided in MATLAB .mat format and are intended for research on DC microgrids, renewable energy integration, battery management, autonomous distributed control, and disaster-resilient distributed energy systems.
Included files:
Solar datasets (2023)
- Solar_Sapporo2023_hourly.mat
- Solar_Sendai2023_hourly.mat
- Solar_Tokyo2023_hourly.mat
- Solar_Osaka2023_hourly.mat
- Solar_Fukuoka2023_hourly.mat
- Solar_Naha2023_hourly.mat
Wind datasets (2023)
- Wind_Speed_Sapporo2023_hourly.mat
- Wind_Speed_Sendai2023_hourly.mat
- Wind_Speed_Tokyo2023_hourly.mat
- Wind_Speed_Osaka2023_hourly.mat
- Wind_Speed_Fukuoka2023_hourly.mat
- Wind_Speed_Naha2023_hourly.mat
Residential load datasets
- House_load1.mat
- House_load2.mat
- House_load3.mat
- House_load4.mat
- House_load5.mat
EV charging dataset
- EV_Charge_hourly.mat
This dataset is used by the DC Microgrid Simulator available on GitHub:
https://github.com/hiro1959/dc-microgrid-simulator
The GitHub repository contains:
- Complete Simulink models
- Residential_grid_EL1R.slx
- Residential_grid_EL2R.slx
- Legacy models from previous releases
- MATLAB and Python scripts
- English and Japanese user manuals
- Instructions for running the simulations
This dataset accompanies the following peer-reviewed article:
Yamada, H.; Liu, K. Autonomous Distributed Control of Residential Microgrids: A Simulation-Based Comparative Study. Electronics 2026, 15(20), 4786.
Files
Files
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