A Stochastic Resource-Planning Scheme for PHEV Charging Station Considering Energy Portfolio Optimization and Price-Responsive Demand

Abstract

Plug-in hybrid electric vehicle (PHEV) charging station is playing a critical role in the rapid development of PHEVs. The unique characteristics of charging demands provide flexibility for the resource planning of PHEV charging station, while its internal generation resources and procurement decisions from utility grid offer various options to meet the charging demand. To achieve the maximum benefits while managing the associated risk, the operator of PHEV charging station should optimally schedule those resources on both supply and demand sides. In this paper, a stochastic resource-planning scheme for PHEV charging stations is proposed, while two types of PHEV charging loads, including price-responsive commercial charging customers and the contracted controllable charging fleets, are taken into the account. Energy supply decisions on energy procurement in multiple markets and internal generation scheduling are co-optimized with demand-side decisions on charging service pricing and controllable demands allocation. The uncertainties from spot market price and availability of renewable generations are considered in the proposed model. A numerical case study is also provided to illustrate the effectiveness of the proposed scheme.