Published May 2019 | Version v1
Journal article

Joint routing and scheduling for electric vehicles in smart grids with V2G

  • 1. Dpto. Ingeniería Eléctrica, Escuela de Ingenierías Industriales, C/ Doctor Ortiz Ramos s/n, Málaga, 29071 (Spain)

Description

Highlights: • Definition of an optimization algorithm for joint routing and scheduling of EVs. • The algorithm considers the grid impact with bidirectional energy transfer. • It models the battery degradation of all the charge/discharge processes. • Small deviations of the routes lead to important revenues for the EV users. -- Abstract: Modern distribution systems with high penetration of Electric Vehicles (EVs) are the focus of increasing attention. EVs charging strategies impact on power networks operation and they can even affect driving patterns when considering Vehicle-to-Grid (V2G) market-driven scenarios. This paper proposes a joint EV routing and charging/discharging scheduling strategy to operate an EV fleet. Particularly, we propose a mathematical framework based on a mixed-integer linear programming problem with the goal of maximizing the revenue of EV users. This approach is illustrated and tested using the IEEE 37-node test feeder. The results show that slight changes in driving patterns can provide benefits to EV users and improve the network operation. The correct design of the price dynamics is concluded to be key for promoting V2G participation.

Additional details

Identifiers

DOI
10.1016/j.energy.2019.02.184;
PII
S0360544219303901;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
175
Journal Page Range
p. 113-122
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55012103
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ALGORITHMS; DESIGN; ELECTRIC-POWERED VEHICLES; ENERGY TRANSFER; LINEAR PROGRAMMING; MARKET; OPTIMIZATION; PRICES; SMART GRIDS
Descriptors DEC
CALCULATION METHODS; ENERGY SYSTEMS; MATHEMATICAL LOGIC; POWER SYSTEMS; VEHICLES

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.