Abstract
During the last decade, Plug-in Hybrid Electric Vehicles (PHEVs) have become a part of modern transportation fleet, offering green alternatives to fossil fuel based transit system. Taking PHEVs great potentials into consideration, this transition can revolutionize transportation systems and push technological advancements further. However, in spite of plentiful economical and environmental advantages, new concerns are being brought up as PHEVs’ utilization rate increases. PHEV’s driving force is supplied by electricity. Hence, the built-in battery requires charging. Such newly introduced power demand, has raised alarming realizations for utility providers. Impacts of PHEVs on distribution networks, although have been proven to be noticeable, have not been thoroughly investigated for future years. In smart grid, the charging of PHEVs can be controlled to reduce the peak load, known as Demand-Side Management (DSM). In this work, we explore various DSM approaches accompanied by their effects on power consumption patterns. Moreover, Geometric Water-filling (GWF) method has been utilized to increase the accuracy of our proposed scheduling schemes. The main contribution of this work emerges by fusing consumer and utility provider concerns, resulting in our dual-target objective function. Such method allows us to alter the focal point between consumer and utility company satisfaction. Index Terms: Plug-in Hybrid Electric Vehicles, Demand-Side Management, Water-Filling
Highlights
In this chapter, we plan to introduce the new advancements in vehicular technology and the fusion of electrical energy in this area
That the load allocation algorithms have been presented, such algorithms are tested for real power consumption data which can be obtained through smart grid infrastructure
Multi-PHEV Load Allocation (MLA) algorithm requires Plug-in hybrid electric vehicles (PHEVs) parameters such as energy requirements and valid time window and household information namely hard load data. Each of these households’ information are presented in terms of their PHEV model, State of charge (SOC) upon arrival, the hard load dataset used with regards to Fig. 5.3, maximum cumulative power consumption Hmax and valid time window dictated by arrival and departure times
Summary
We plan to introduce the new advancements in vehicular technology and the fusion of electrical energy in this area. Combustion engine vehicles (CEVs) are responsible for a large portion of greenhouse gas emissions, 12.3% in the year 2009 [3]. Electrification of the vehicle fleet could offer a great potential to reduce both greenhouse gas emissions and the daily transportation cost. Plug-in hybrid electric vehicles (PHEVs) are a reliable alternative for the conventional combustion engine vehicles. PHEV’s electrical engine driving force is supplied by a battery. This battery is mainly charged when plugged into a charger. The main advantage of using a PHEV is the fact that short-distance trips can be done solely by using the battery power and not using the fossil fuel, which would, on one hand, deduct everyday gas emissions, while lowering travel cost for the consumer on the other hand
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