Distribution Locational Marginal Pricing for Optimal Electric Vehicle Charging Management

Optimal Pricing for Efficient Electric Vehicle Charging Station Management

The rapid development of Electric Vehicles (EVs) seen in recent years has been drawing increasing attentions from the public, markets, decision-makers, and academia. Notwithstanding the progress, issues still remain. Because of the widely complained disadvantages of limited battery capacity and long charging time, charging convenience has become a top concern that greatly hinders the adoption o...

Locational Marginal Pricing based Smart Charging of Plug-In Hybrid Vehicle Fleets

The electrification of transportation is becoming an increasingly important topic due to geopolitical concerns regarding the supply of oil and strategies against climate change. Plug-in-hybrid electric vehicles (PHEVs), which rely mainly on electricity for propulsion and are equipped additionally with a combustion engine to bridge larger distances, would play a key role. However the introductio...

Optimal Decentralized Protocols for Electric Vehicle Charging

We propose decentralized algorithms for optimally scheduling electric vehicle (EV) charging. The algorithms exploit the elasticity and controllability of electric vehicle loads in order to fill the valleys in electric demand profiles. We first formulate a global optimization problem, whose objective is to impose a generalized notion of valley-filling, and study the properties of optimal chargin...

Optimal Electric Vehicle Charging Station Placement

Many countries like Singapore are planning to introduce Electric Vehicles (EVs) to replace traditional vehicles to reduce air pollution and improve energy efficiency. The rapid development of EVs calls for efficient deployment of charging stations both for the convenience of EVs and maintaining the efficiency of the road network. Unfortunately, existing work makes unrealistic assumption on EV d...

Impacts of Electric Vehicle Charging on Electric Power Distribution Systems