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Center for Nonlinear Studies |
Renewable energy sources and plug-In hybrid electric vehicles (PHEVs) are environmentally friendly technologies that are currently being advocated for the nation's power grid. It has been shown that some of the roadblocks for adoption of these technologies can be overcome by providing control and interaction to renewables and PHEVs. A comprehensive model for optimally locating PHEV battery exchange stations has been proposed in recent research, but some critical research questions still remain open. This research focuses on modeling and solving a multi-stage planning problem for locating the charging stations and deciding when to open them. Indeed, the number of exchange stations needs to grow over time to accommodate the growing demand. In addition, new exchange stations are viewed as further encouragement for driving a PHEV, thus driving the demand even higher. Two different modeling approaches for this multi-stage problem are presented, and computational comparison results are given.
Host: Misha Chertkov, chertkov@lanl.gov, 665-8119