A stochastic resource-sharing network for electric vehicle charging

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We consider a distribution grid used to charge electric vehicles (EVs) such that voltage drops stay bounded. We model this as a class of resource-sharing networks, known as bandwidth-sharing networks in the communication network literature. We focus on resource-sharing networks that are driven by a class of greedy control rules that can be implemented in a decentralized fashion. For a large number of such control rules, we can characterize the performance of the system by a fluid approximation. This leads to a set of dynamic equations that take into account the stochastic behavior of EVs. We show that the invariant point of these equations is unique and can be computed by solving a specific AC optimal-power-flow problem (ACOPF), which admits an exact convex relaxation. We illustrate our findings with a case study using the SCE 47-bus network and several special cases that allow for explicit computations.
Originele taal-2Engels
Pagina's (van-tot)1050-1061
TijdschriftIEEE Transactions on Control of Network Systems
Volume6
Nummer van het tijdschrift3
DOI's
StatusGepubliceerd - sep 2019

Citeer dit

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title = "A stochastic resource-sharing network for electric vehicle charging",
abstract = "We consider a distribution grid used to charge electric vehicles (EVs) such that voltage drops stay bounded. We model this as a class of resource-sharing networks, known as bandwidth-sharing networks in the communication network literature. We focus on resource-sharing networks that are driven by a class of greedy control rules that can be implemented in a decentralized fashion. For a large number of such control rules, we can characterize the performance of the system by a fluid approximation. This leads to a set of dynamic equations that take into account the stochastic behavior of EVs. We show that the invariant point of these equations is unique and can be computed by solving a specific AC optimal-power-flow problem (ACOPF), which admits an exact convex relaxation. We illustrate our findings with a case study using the SCE 47-bus network and several special cases that allow for explicit computations.",
keywords = "AC power flow model, distribution network, electric vehicle charging, fluid approximation, linearized Distflow, queueing theory, stochastic processes",
author = "Angelos Aveklouris and Maria Vlasiou and Bert Zwart",
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A stochastic resource-sharing network for electric vehicle charging. / Aveklouris, Angelos (Corresponding author); Vlasiou, Maria; Zwart, Bert.

In: IEEE Transactions on Control of Network Systems, Vol. 6, Nr. 3, 09.2019, blz. 1050-1061.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

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T1 - A stochastic resource-sharing network for electric vehicle charging

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AU - Vlasiou, Maria

AU - Zwart, Bert

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