scholarly journals Demand side management by PHEV charging scheduling in residential areas

2021 ◽  
Author(s):  
Babak Dayyani
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Peak Load ◽  
Demand Side Management ◽  
Distribution Networks ◽  
Utilization Rate ◽  
Demand Side ◽  
Transit System ◽  
Water Filling ◽  
Hybrid Electric

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

scholarly journals Demand side management by PHEV charging scheduling in residential areas

2021 ◽  
Author(s):  
Babak Dayyani
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Peak Load ◽  
Demand Side Management ◽  
Distribution Networks ◽  
Utilization Rate ◽  
Demand Side ◽  
Transit System ◽  
Water Filling ◽  
Hybrid Electric

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

scholarly journals Demand side management based charging strategy for fleet of plug-in hybrid electric vehicles

2020 ◽  
Vol 32 ◽  
pp. 01003
Author(s):  
Sachpreet Kaur ◽  
Ravtej Singh Sandhu ◽  
Tarlochan Kaur ◽  
Rintu Khanna
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Peak Load ◽  
Demand Side Management ◽  
Total Power ◽  
Demand Side ◽  
Electric Grid ◽  
Smart Charging ◽  
Hybrid Electric ◽  
Charging Strategy

In coming years, the widespread use of Plug-in Hybrid Electric Vehicles (PHEVs) will impose a significant burden on the existing electric grid. The situation may worsen due to uncontrolled charging strategies adopted for PHEVs. On the other hand, these PHEVs, if charged through proper control mechanisms may reduce additional dynamic load demands. Also, if utilized properly, they may provide significant support to electric grid from time to time. The entire process of regulating the power exchanged with PHEVs w.r.t the existing grid conditions is well known as Demand Side Management (DSM). To indulge PHEVs in DSM, an accurate estimate of characteristics of PHEVs, both on-road and off-road, is necessary. Thus, this study aims to mathematically model the behaviour of four imperative parameters of PHEVs. These are dynamic travel behaviour, battery state-of-charge (SOC) requirements, the energy demands of PHEVs and, total power exchanged by PHEVs with the electric grid. In addition to this, a smart charging strategy is proposed and tested to verify the ability of PHEVs for participating in DSM for peak load management. The impacts of uncontrolled charging and smart charging of PHEVs on grid power demands are also discussed.

scholarly journals Demand Side Management for Charging Plug-In Hybrid Electric Vehicles

2020 ◽  
pp. 152-157
Author(s):  
Praveena P ◽  
Chandrika V S ◽  
Baranilingesan I ◽  
Ravindran S ◽  
Pazhanimuthu C
Keyword(s):  
Electric Vehicles ◽  
Distribution System ◽  
Hybrid Electric Vehicles ◽  
Low Voltage ◽  
Peak Load ◽  
Demand Side Management ◽  
Demand Side ◽  
Wide Range ◽  
Hybrid Electric ◽  
Power Curves

In future the usage of Plug-in hybrid electric vehicles (PHEV) will be in wide range, which will impose huge burden to the distributive system. The peak load at the distribution system can be controlled by Demand Side Management (DSM) strategy. In the proposed study, the load curve of Low-voltage Transformers (LVTs) is made to be flatten, on satisfying the requirement of charging PHEV at given time to the required level. The proposed problem statement is formulated as convex optimization problem, and then the random arrival of PHEV is handled by introducing the moving horizon strategy. Based on this, the PHEV are being disconnected from the LVTs beyond their respective exit times. Such that the demand curve of the LVTs is flattened. This problem is solved using MATLAB and the power demand curves of the LVTs, power curves of the PHEVs and non- PHEV load are compared over a time of 24 hours to show that the power curve is flattened with the penetration of PHEV.

scholarly journals Optimizing the effect of charging electric vehicles on distribution transformer using demand side management

2022 ◽  
Vol 25 (1) ◽  
pp. 25
Author(s):  
Swapna Ganapaneni ◽  
Srinivasa Varma Pinni
Keyword(s):  
Electric Vehicles ◽  
Peak Load ◽  
Demand Side Management ◽  
Residential Area ◽  
Demand Side ◽  
Objective Functions ◽  
Distribution Transformer ◽  
Price Prediction ◽  
Modeling Software ◽  
Actual Price

This paper mainly aims to present the demand side management (DSM) of electric vehicles (EVs) by considering distribution transformer capacity at a residential area. The objective functions are formulated to obtain charging schedule for individual owner by i) minimizing the load variance and ii) price indicated charging mechanism. Both the objective functions profit the owner in the following ways: i) fulfilling their needs, ii) minimizing overall charging cost, iii) lessening the peak load, and iv) avoiding the overloading of distribution transformer. The proposed objective functions were worked on a residential area with 8 houses each house with an EV connected to a 20 kVA distribution transformer. The formulations were tested in LINGO platform optimization modeling software for linear, nonlinear, and integer programming. The results obtained were compared which gives good insight of EV load scheduling without actual price prediction.

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