Comparison of stability regions for a line distribution network with stochastic load demands. (English) Zbl 1515.60298
Summary: We compare stability regions for different power flow models in the process of charging electric vehicles (EVs) by considering their random arrivals, their stochastic demand for energy at charging stations, and the characteristics of the electricity distribution network. We assume the distribution network is a line with charging stations located on it. We consider the Distflow and the Linearized Distflow models, and we assume that EVs have an exponential charging requirement, that voltage drops on the distribution network stay under control, and that the number of charging stations \(N\) goes to infinity. We investigate the stability of utility-optimizing power allocations in large distribution networks for both power flow models by controlling the arrival rate of EVs to charging stations. For both power flow models, we show that, to obtain stability, the maximum feasible arrival rate, i.e., stability region of vehicles, is decaying as \(1/N^2\), and the difference between those arrival rates is up to constants, which we compare explicitly.
MSC:
| 60K30 | Applications of queueing theory (congestion, allocation, storage, traffic, etc.) |
| 90B15 | Stochastic network models in operations research |
Keywords:
electrical vehicle charging; power flow models; bandwidth-sharing networks; stability regionsReferences:
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