PSO-based method to find electric vehicle's optimal charging schedule under dynamic electricity price
- Resource Type
- Conference
- Authors
- An, Jing; Huang, BingYao; Kang, Qi; Zhou, MengChu
- Source
- 2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC) Networking, Sensing and Control (ICNSC), 2013 10th IEEE International Conference on. :913-918 Apr, 2013
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Electricity
Vehicles
Batteries
Schedules
Optimization
Heuristic algorithms
Dynamic programming
Electric vehicle
Dynamic electricity price
PSO
Optimal charging
- Language
Owning to greenhouse effect and exhaustible gasoline, there is a need for the automobile industry to develop electric vehicles (EVs). EV owners' major concern is about how to minimize operating cost under dynamic market electricity price. Optimization of a charging scenario draws great attention from the researchers worldwide. This paper presents a particle swarm optimization (PSO) based optimization approach that can help EV owners achieve the most economical charging behavior.