Research

Two-stage stochastic day-ahead optimal resource scheduling in a distribution network with intensive use of distributed energy resources

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Abstract

The integration of renewable sources and electric vehicles will introduce new uncertainties to the optimal resource scheduling, namely at the distribution level. These uncertainties are mainly originated by the power generated by renewables sources and by the electric vehicles charge requirements. This paper proposes a two-state stochastic programming approach to solve the day-ahead optimal resource scheduling problem. The case study considers a 33-bus distribution network with 66 distributed generation units and 1000 electric vehicles.

Energy Engineering and Power Technology Electric vehicles Optimal Resource Scheduling Renewable Sources Stochastic Programming Vehicle-to-grid Energy resources Scheduling Smart power grids Stochastic programming Stochastic systems Vehicles Distributed Energy Resources Distributed generation units Distribution levels Renewable sources Renewables Resource-scheduling Two-state Vehicle to grids Electric power transmission networks