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A stochastic optimization approach to aggregated electric vehicles charging in smart grids | IEEE Conference Publication | IEEE Xplore

A stochastic optimization approach to aggregated electric vehicles charging in smart grids


Abstract:

Electric vehicles (EVs) are considered to be an important component of distributed energy storage and supply devices in smart grids. EVs can serve as a distributed mobile...Show More

Abstract:

Electric vehicles (EVs) are considered to be an important component of distributed energy storage and supply devices in smart grids. EVs can serve as a distributed mobile energy resource in the electricity market. They can be used to store and transport energy from one geographical area to another as supportive energy supply. EVs should be included in future electricity demand management and consumption optimization system. This paper presents a dynamic optimization framework to formulate the optimal charging problem. The framework considers an aggregated charging station where a large number of EVs can be charged simultaneously during permitted time. The optimization will provide every individual EV an optimal charging strategy to proactively control their charging rates in order to minimise the charging costs. The optimization is based on stochastic optimal control methods. Numerical results are presented to demonstrate the proposed framework.
Date of Conference: 20-23 May 2014
Date Added to IEEE Xplore: 11 August 2014
Electronic ISBN:978-1-4799-1300-8

ISSN Information:

Conference Location: Kuala Lumpur, Malaysia

I. Introduction

The future electric power generation and supply system, which is recognised as the smart grids, is expected to bring significant benefits to energy generation and dispatch. The direction of power flow will no longer be just downhill from the bulk power plants to consumers. Power flow can be generated from any energy generation sources and end up anywhere on the grid. As micro level local energy generation such as rooftop solar cells, electricity can be generated and stored by consumers and can be released to the grid whenever it is necessary [1]. Electric vehicles (EVs) have been generally expected to be a main component of distributed energy storage and supply device in the smart grids. EVs can serve as a distributed mobile energy resource in the electricity market. Enabled by the advanced information and communications technologies (ICTs), EVs can be optimally scheduled and dispatched to various locations at different times to supply energy to meet the dynamic demand and fast response to emergency situations [2]. EVs can also be used to store and transport energy from one geographical area to another as supportive supply, which will increase the overall reliability and the flexibility of the grid [3]. As EVs will eventually be employed at the household level as alternatives of traditional petrol cars, EVs sohuld be included in home electricity demand management and consumption optimization, as discussed in [4] and [5].

References

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