TY - JOUR
T1 - Versatile Modeling Platform for Cooperative Energy Management Systems in Smart Cities
AU - Hayashi, Yasuhiro
AU - Fujimoto, Yu
AU - Ishii, Hideo
AU - Takenobu, Yuji
AU - Kikusato, Hiroshi
AU - Yoshizawa, Shinya
AU - Amano, Yoshiharu
AU - Tanabe, Shin Ichi
AU - Yamaguchi, Yohei
AU - Shimoda, Yoshiyuki
AU - Yoshinaga, Jun
AU - Watanabe, Masato
AU - Sasaki, Shunsuke
AU - Koike, Takeshi
AU - Jacobsen, Hans Arno
AU - Tomsovic, Kevin
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/4
Y1 - 2018/4
N2 - 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 CO2 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.
AB - 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 CO2 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.
KW - CO2 emission
KW - PV/EV hosting capacity
KW - energy management system
KW - energy self-sufficiency
KW - modeling platform
KW - power quality
KW - smart city
KW - smart grid
UR - http://www.scopus.com/inward/record.url?scp=85045012207&partnerID=8YFLogxK
U2 - 10.1109/JPROC.2018.2809468
DO - 10.1109/JPROC.2018.2809468
M3 - Article
AN - SCOPUS:85045012207
SN - 0018-9219
VL - 106
SP - 594
EP - 612
JO - Proceedings of the IEEE
JF - Proceedings of the IEEE
IS - 4
ER -
