### Uittreksel

Originele taal-2 | Engels |
---|---|

Pagina's (van-tot) | 1050-1061 |

Tijdschrift | IEEE Transactions on Control of Network Systems |

Volume | 6 |

Nummer van het tijdschrift | 3 |

DOI's | |

Status | Gepubliceerd - sep 2019 |

### Citeer dit

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**A stochastic resource-sharing network for electric vehicle charging.** / Aveklouris, Angelos (Corresponding author); Vlasiou, Maria; Zwart, Bert.

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

TY - JOUR

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

AU - Aveklouris, Angelos

AU - Vlasiou, Maria

AU - Zwart, Bert

PY - 2019/9

Y1 - 2019/9

N2 - 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.

AB - 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.

KW - AC power flow model

KW - distribution network

KW - electric vehicle charging

KW - fluid approximation

KW - linearized Distflow

KW - queueing theory

KW - stochastic processes

U2 - 10.1109/TCNS.2019.2915651

DO - 10.1109/TCNS.2019.2915651

M3 - Article

VL - 6

SP - 1050

EP - 1061

JO - IEEE Transactions on Control of Network Systems

JF - IEEE Transactions on Control of Network Systems

SN - 2325-5870

IS - 3

ER -