Optimization of Smart Grid Operation Considering Diverse Electricity Consumption Patterns

ABSTRACT This study examines an optimal operation model for a smart grid composed of multiple microgrids to promote renewable energy use in Japan. In Japan, about 70% of electricity is still supplied by fossil fuel power, while renewables account for only 18% despite a 36%–38% target for 2030. Using demand and photovoltaic data from Setagaya Ward, we construct a system model with factory/office and residential microgrids and formulate a mathematical optimization model that considers power interchange, batteries, and heat storage. Numerical experiments based on several case studies show the effectiveness of smart grid operation designed according to the proposed model in promoting renewable energy utilization and reducing total generation cost. In particular, the results show that increasing photovoltaic capacity, increasing the number of microgrids, and considering heat demand are all effective measures. However, these benefits depend on the season. Future work should extend the system model to account for seasonal variability and associated investment costs.

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Publication Details

Journal
Electronics and Communications in Japan
Published
2026-10-26
DOI
https://doi.org/10.1002/ecj.70057
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

Optimization of Smart Grid Operation Considering Diverse Electricity Consumption Patterns

Takashi Hasuike, Takaki Kawamoto, Yuriko Toda
Electronics and Communications in Japan
Integrated Energy Systems Optimization
article

Optimization of Smart Grid Operation Considering Diverse Electricity Consumption Patterns

Takashi Hasuike, Takaki Kawamoto, Yuriko Toda
article en

Abstract

ABSTRACT This study examines an optimal operation model for a smart grid composed of multiple microgrids to promote renewable energy use in Japan. In Japan, about 70% of electricity is still supplied by fossil fuel power, while renewables account for only 18% despite a 36%–38% target for 2030. Using demand and photovoltaic data from Setagaya Ward, we construct a system model with factory/office and residential microgrids and formulate a mathematical optimization model that considers power interchange, batteries, and heat storage. Numerical experiments based on several case studies show the effectiveness of smart grid operation designed according to the proposed model in promoting renewable energy utilization and reducing total generation cost. In particular, the results show that increasing photovoltaic capacity, increasing the number of microgrids, and considering heat demand are all effective measures. However, these benefits depend on the season. Future work should extend the system model to account for seasonal variability and associated investment costs.

Electronics and Communications in Japan
Okayama University of Science (JP), Waseda University (JP)
Openalex Percentile: Top 24%
Integrated Energy Systems Optimization
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