Application of battery storage to switching predictive control of power distribution systems including road heating

In regions with heavy snowfall, the living environment is becoming a serious problem due to heavy snow accumulation. A Road heating is an electrical device which promotes snow melting by burying a heating cable as a thermal source underground in such regions. When integrating the road heating into power distribution systems, we need to optimize the flow of electric power by appropriately integrating distributed power sources and conventional power distribution equipment. In this paper, we introduce a battery storage to the power distribution system including road heating, and extend the predictive switching control of the systems due to the authors' previous study to the case where battery storage is installed. As a main result, we propose a predictive switching control that utilizes photovoltaic (PV) power generation and surplus power stored in the battery storage effectively, and achieves the reduction of distribution loss, attenuation of voltage fluctuation, and efficient snow melting, simultaneously. We verify the effectiveness of the application of battery storage through numerical simulation using actual time series data of weather conditions and active power of the PV power generation and load.

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Publication Details

Journal
Nonlinear Theory and Its Applications IEICE
Published
2025-12-31
DOI
https://doi.org/10.1587/nolta.17.331
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
0.00

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article

Application of battery storage to switching predictive control of power distribution systems including road heating

Yuya Muto, Yoshihiko Susuki, Hikaru Akutsu, Rinnosuke Shima et al.
Nonlinear Theory and Its Applications IEICE
Smart Materials for Construction
article

Application of battery storage to switching predictive control of power distribution systems including road heating

Yuya Muto, Yoshihiko Susuki, Hikaru Akutsu, Rinnosuke Shima, Chiaki Kojima
article en

Abstract

In regions with heavy snowfall, the living environment is becoming a serious problem due to heavy snow accumulation. A Road heating is an electrical device which promotes snow melting by burying a heating cable as a thermal source underground in such regions. When integrating the road heating into power distribution systems, we need to optimize the flow of electric power by appropriately integrating distributed power sources and conventional power distribution equipment. In this paper, we introduce a battery storage to the power distribution system including road heating, and extend the predictive switching control of the systems due to the authors' previous study to the case where battery storage is installed. As a main result, we propose a predictive switching control that utilizes photovoltaic (PV) power generation and surplus power stored in the battery storage effectively, and achieves the reduction of distribution loss, attenuation of voltage fluctuation, and efficient snow melting, simultaneously. We verify the effectiveness of the application of battery storage through numerical simulation using actual time series data of weather conditions and active power of the PV power generation and load.

Nonlinear Theory and Its Applications IEICEVol. 17(1)
Kyoto University (JP), Toyama Prefectural University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 48%
Smart Materials for Construction
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