Reliability-based Approaches to Quantify Maximum Permissible Penetration Level of Electric Vehicles in Power Systems
type: CreativeWork
description: The growing concern for environmental and pollution-related problems has led to increase the penetration of sustainable resources in both power and transportation systems. Although transitioning from fossil fuel-based vehicles to electric vehicles (EVs) in transportation systems helps in alleviating many environmental and pollution-related concerns associated with conventional cars, the inclusion of EVs represents a new type of electric load that requires allocating appropriate resources to maintain/improve power system reliability. Therefore, it is important to analyze the reliability of power systems with EVs for operation and planning perspectives. In order to maintain the reliability of a power system, load demand should be satisfied. If all or part of the load cannot be satisfied, load curtailments are needed to maintain system stability. The number of EVs is expected to exponentially increase in the coming years. This high-expected growth in the number of EVs will increase the probability of load curtailments of power systems. However, load curtailments can be avoided by incorporating demand response (DR) programs and optimum energy management systems. Existing methods to investigate the effect of DR programs on power system reliability do not include penalty terms, which is an important factor for effective participation of customers in DR programs. Thus, in addition to the existing economic models, a load curtailment model to emulate customers' active participation in DR programs needs to be developed to improve the reliability of power systems. In addition, it is obvious that the continuous increase of EVs produce several challenges related to the variability of charging time, duration, and location for planning of future power system. Determining the amount of controlled charging of EV loads that can be incorporated in existing power systems is a promising factor in addressing these challenges. One of the promising solutions to deal with the challenges of …
abstract: The growing concern for environmental and pollution-related problems has led to increase the penetration of sustainable resources in both power and transportation systems. Although transitioning from fossil fuel-based vehicles to electric vehicles (EVs) in transportation systems helps in alleviating many environmental and pollution-related concerns associated with conventional cars, the inclusion of EVs represents a new type of electric load that requires allocating appropriate resources to maintain/improve power system reliability. Therefore, it is important to analyze the reliability of power systems with EVs for operation and planning perspectives. In order to maintain the reliability of a power system, load demand should be satisfied. If all or part of the load cannot be satisfied, load curtailments are needed to maintain system stability. The number of EVs is expected to exponentially increase in the coming years. This high-expected growth in the number of EVs will increase the probability of load curtailments of power systems. However, load curtailments can be avoided by incorporating demand response (DR) programs and optimum energy management systems. Existing methods to investigate the effect of DR programs on power system reliability do not include penalty terms, which is an important factor for effective participation of customers in DR programs. Thus, in addition to the existing economic models, a load curtailment model to emulate customers' active participation in DR programs needs to be developed to improve the reliability of power systems. In addition, it is obvious that the continuous increase of EVs produce several challenges related to the variability of charging time, duration, and location for planning of future power system. Determining the amount of controlled charging of EV loads that can be incorporated in existing power systems is a promising factor in addressing these challenges. One of the promising solutions to deal with the challenges of …
author: Kamruzzaman, MD
keywords: Electric Vehicles, Hosting Capacity, Power System, Reliability
date published: 2020
date modified: 2026-07-27T21:47:58Z
provider: University of Nevada - Reno
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Nevada - Reno

PropertyValue
property ID: Handle
value: http://hdl.handle.net/11714/7713