A Second Order Cone Programming Model for Planning PEV Fast-Charging Stations
arXiv:1702.01897 · doi:10.1109/TPWRS.2017.2754940
Abstract
This paper studies siting and sizing of plug-in electric vehicle (PEV) fast-charging stations on coupled transportation and power networks. We develop a closed-form service rate model of highway PEV charging stations' service abilities, which considers heterogeneous PEV driving ranges and charging demands.We utilize a modified capacitated flow refueling location model (CFRLM) to explicitly capture time-varying PEV charging demands on the transportation network under driving range constraints. We explore extra constraints of the CFRLM to enhance model accuracy and computational efficiency.We then propose a stochastic mixed-integer second order cone programming (SOCP) model for PEV fast-charging station planning. The model considers the transportation network constraints of CFRLM and the power network constraints with AC power flow. Numerical experiments are conducted to illustrate the effectiveness of the proposed method.
References in corpus (4)
- Convex Relaxation of Optimal Power Flow, Part II: Exactness
- Integrated Energy Exchange Scheduling for Multi-microgrid System with Electric Vehicles
- Placement of EV Charging Stations --- Balancing Benefits among Multiple Entities
- Risk-limiting Economic Dispatch for Electricity Markets with Flexible Ramping Products
Cited by in corpus (3)
- Investigating State-of-the-Art Planning Strategies for Electric Vehicle Charging Infrastructures in Coupled Transport and Power Networks: A Comprehensive Review
- Joint Fleet Sizing and Charging System Planning for Autonomous Electric Vehicles
- Joint Optimization for Coordinated Charging Control of Commercial Electric Vehicles Under Distributed Hydrogen Energy Supply