Versatile modeling platform for cooperative energy management systems in smart cities

A team of researchers from Waseda University, Osaka University, Japanese power companies, the Technical University of Munich, and the University of Tennessee constructed a versatile modeling platform accommodating cooperative energy management systems, which produces realistic models of a smart city with a distribution network by using data obtained from the real world.

Sustainable smart cities for a low-carbon society in the future

With the growing attention toward sustainability and recognition of the impact of global warming problems, producing renewable energy sources, especially photovoltaic and wind power generations, is being encouraged in cities around the world. Further, upgrading power infrastructure to maintain power quality, the use of energy-storing batteries and electric vehicles, and new energy management systems (EMSs) for more efficient use of energy are also becoming a global trend. These technologies now under development are expected to play a crucial role in constructing sustainable smart cities for a low-carbon society in the future. On the other hand, how various EMSs, implemented dispersively for various purposes on different scales, interact with each other had been difficult to grasp precisely.

“This newly innovated platform involves models of various EMSs in cooperation, and it can govern the operation of a power system or control consumer-installed devices, and simulate the power flow, electrical losses, and voltage in the distribution network,” explains Yasuhiro Hayashi, an engineering professor at Waseda University and a member of this study. “Indices measuring the sustainability of the model city, such as CO2 emission, can also be estimated from scenarios such as photovoltaic system installation and electrical vehicle penetration, and the results can be visually displayed.”

Moreover, the platform can be used to evaluate the impact of specific policies, for example, incentivizing photovoltaic systems installation in targeted areas, introducing time-of-use pricing, and construction of electric charging stations, and can be extended into transportation concerns as well. The research team hopes that their platform will contribute to new developments in system optimization technologies and promotion of the technology.

The study, published online in the Proceedings of the IEEE on March 27, 2018, was supported by the Japan Science and Technology Agency (JST) Core Research for Evolutional Science and Technology (CREST) under Grant JPMJCR15K5 and in part by the Engineering Research Centers (ERC) program of the U.S. National Science Foundation (NSF) and the U.S. Department of Energy (DOE) under Award EEC-1041877.

Reference

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