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.