Optimal Coordination of Plug-In Electric Vehicles in Power Grids With Cost-Benefit Analysis—Part I: Enabling Techniques
Autor: | Yonghua Song, Zhuowei Luo, Zechun Hu, Haiyan Lu, Zhiwei Xu |
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Rok vydání: | 2013 |
Předmět: |
Engineering
Mathematical optimization Linear programming business.industry Computation Reliability (computer networking) Business system planning Energy Engineering and Power Technology Power (physics) Electric power system Latin hypercube sampling Electrical and Electronic Engineering business Integer programming Simulation |
Zdroj: | IEEE Transactions on Power Systems. 28:3546-3555 |
ISSN: | 1558-0679 0885-8950 |
DOI: | 10.1109/tpwrs.2013.2262318 |
Popis: | Plug-in electric vehicles (PEVs) appear to offer a promising option for mitigating greenhouse emission. However, uncoordinated PEV charging can weaken the reliability of power systems. The proper accommodation of PEVs in a power grid imposes many challenges on system planning and operations. This work aims to investigate optimal PEV coordination strategies with cost-benefit analysis. In Part I, we first present a new method to calculate the charging load of PEVs with a modified Latin hypercube sampling (LHS) method for handling the stochastic property of PEVs. We then propose a new two-stage optimization model to discover the optimal charging states of PEVs in a given day. Using this model, the peak load with charging load of PEVs is minimized in the first stage and the load fluctuation is minimized in the second-stage with peak load being fixed as the value obtained in the first stage. An algorithm based on linear mixed-integer programming is provided as a suitable solution method with fast computation. Finally, we present a new method to calculate the benefit and cost for a PEV charging and discharging coordination strategy from a social welfare approach. These methods are useful for developing PEV coordination strategies in power system planning and supporting PEV-related policy making. |
Databáze: | OpenAIRE |
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