Optimal V2G Scheduling of Electric Vehicles and Unit Commitment using Chemical Reaction Optimization

Abstract

An electric vehicle (EV) may be used as energy storage which allows the bi-directional electricity flow between the vehicle's battery and the electric power grid. In order to flatten the load profile of the electricity system, EV scheduling has become a hot research topic in recent years. In this paper, we propose a new formulation of the joint scheduling of EV and Unit Commitment (UC), called EVUC. Our formulation considers the characteristics of EVs while optimizing the system total running cost. We employ Chemical Reaction Optimization (CRO), a general-purpose optimization algorithm to solve this problem and the simulation results on a widely used set of instances indicate that CRO can effectively optimize this problem.

References in corpus (4)

• Evolutionary Artificial Neural Network Based on Chemical Reaction Optimization
• A multi-layer market for vehicle-to-grid energy trading in the smart grid
• Sensor Deployment for Air Pollution Monitoring Using Public Transportation System
• Real-Coded Chemical Reaction Optimization with Different Perturbation Functions

Cited by in corpus (4)

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• A Social Spider Algorithm for Solving the Non-convex Economic Load Dispatch Problem
• Chemical Reaction Optimization for the Set Covering Problem
• An Inter-molecular Adaptive Collision Scheme for Chemical Reaction Optimization