IEEJ Transactions on Power and Energy
Online ISSN : 1348-8147
Print ISSN : 0385-4213
ISSN-L : 0385-4213
Special Issue Paper
Modelling Analysis of Electric Vehicle Penetration Scenario using Dynamic Optimal Power Generation Mix Model with High Temporal Resolution
Ryoichi KomiyamaYasumasa Fujii
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2015 Volume 135 Issue 1 Pages 61-70

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Abstract

After the Fukushima nuclear accident, Japanese power generation planning needs to be rearranged reflecting on the technical movement in both power supply and demand sides; Fukushima nuclear accident has complicated the positioning of nuclear energy in Japan's long-term power generation mix due to its public acceptance and other associated issues such as nuclear waste management; the studies are more required about the maximum grid integration of variable renewables such as PV and wind power which are expected to potentially replace nuclear energy; in power demand side, an expected future introduction of electric vehicle (EV) and plug-in hybrid vehicle (PHEV) will have an impact on the grid management in electric power system. In this context, it is important to develop a computational tool to comprehensively analyze the optimal power generation mix and dispatch in a consistent way. This paper develops a dynamic high time-resolution optimal power generation mix model, as large-scale linear programming model with 18 million constraints and 8 million endogenous variables, and analyzes the optimal deployment of variable renewables (VR) and electric vehicles, considering the future possible nuclear scenario and CO2 regulation policy in Japan. As calculated optimal solutions, electric vehicle plays an important role to integrating variable renewable and treating the imbalance of VR surplus output.

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© 2015 by the Institute of Electrical Engineers of Japan
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