Optimal Charging Strategy Algorithm for PEVs: a Monte Carlo validation
| Autor: | Federico Silvestro, Samuele Grillo, F. Baccino, Stefano Massucco |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Engineering
Mathematical optimization Optimization algorithm business.industry recharge optimization Monte Carlo method plug-in electric vehicle SAIDI SAIFI Grid Distribution system Robustness (computer science) plug-in electric vehicle optimal dispatching recharge optimization optimal power flow SAIDI SAIFI optimal power flow optimal dispatching business Algorithm Low voltage |
| Popis: | This paper proposes the validation of an optimal charging strategy for plug-in electric vehicles (PEVs). The algorithm is composed of two phases and is intended to be used by Distribution System Operator (DSO) to properly manage the network. The effectiveness of the optimization algorithm, described in a previous work, is tested through Monte Carlo simulations. The proposed algorithm has evaluated and compared with a dumb charging strategy. The low voltage CIGRE benchmark grid for 5 years was simulated considering 300 PEVs. In addition, a different set of Monte Carlo simulations was run with random—though reasonable—load profiles in order to test the robustness of the algorithm. The traditional and newly proposed power-system-related indices were calculated for all of the simulation sets. |
| Databáze: | OpenAIRE |
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