Versatile Modeling Platform for Cooperative Energy Management Systems in Smart Cities

With growing attention to sustainability and recognition of the impact of global warming problems, energy supply and consumption have become critically important. This paper presents the construction of a modeling platform accommodating cooperative energy management systems (EMSs), which virtually p...

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Bibliographic Details
Published in:Proceedings of the IEEE 2018-04, Vol.106 (4), p.594-612
Main Authors: Hayashi, Yasuhiro, Shimoda, Yoshiyuki, Yoshinaga, Jun, Watanabe, Masato, Sasaki, Shunsuke, Koike, Takeshi, Jacobsen, Hans-Arno, Tomsovic, Kevin, Fujimoto, Yu, Ishii, Hideo, Takenobu, Yuji, Kikusato, Hiroshi, Yoshizawa, Shinya, Amano, Yoshiharu, Tanabe, Shin-Ichi, Yamaguchi, Yohei
Format: Article
Language:English
Subjects:
Carbon dioxide
CO2 emission
Computer simulation
Data models
Distribution management
Energy management
energy management system
Energy management systems
energy self-sufficiency
Global warming
Load flow
Load modeling
modeling platform
Modelling
Power consumption
Power flow
power quality
Power system reliability
PV/EV hosting capacity
Smart cities
smart city
smart grid
Smart grids
Sustainability
Sustainable development
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Summary:With growing attention to sustainability and recognition of the impact of global warming problems, energy supply and consumption have become critically important. This paper presents the construction of a modeling platform accommodating cooperative energy management systems (EMSs), which virtually produces the model of a smart city with a distribution network (DN) by using a wide range of data obtained from the real world. The platform involves models of various EMSs, governing the operation of a power system or controlling consumer-installed devices, and simulating the power flow, electrical losses, and voltage in the DN. In addition, indices measuring the sustainability of the model city, such as CO 2 emission, are estimated from scenarios, for example, photovoltaic system installation, electric vehicle penetration, etc. The results can be visually displayed and the platform is highly versatile and applicable to various types of issues associated with smart cities. Two case studies are presented in detail.
ISSN:0018-9219
1558-2256
DOI:10.1109/JPROC.2018.2809468