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Journal ArticleDOI

Smart load management of plug-in electric vehicles in distribution and residential networks with charging stations for peak shaving and loss minimisation considering voltage regulation

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TLDR
In this paper, a smart load management (SLM) approach for the coordination of multiple plug-in electric vehicle (PEV) chargers in distribution feeders is proposed.
Abstract
New smart load management (SLM) approach for the coordination of multiple plug-in electric vehicle (PEV) chargers in distribution feeders is proposed. PEVs are growing in popularity as a low emission and efficient mode of transport against petroleum-based vehicles. PEV chargers represent sizeable and unpredictable loads, which can detrimentally impact the performance of distribution grids. Utilities are concerned about the potential overloads, stresses, voltage deviations and power losses that may occur in distribution systems from domestic PEV charging activity as well as from newly emerging charging stations. Therefore this study proposes a new SLM control strategy for coordinating PEV charging based on peak demand shaving, improving voltage profile and minimising power losses. Furthermore, the developed SLM approach takes into consideration the PEV owner preferred charging time zones based on a priority selection scheme. The impact of PEV charging stations and typical daily residential loading patterns are also considered. Simulation results are presented to demonstrate the significant performance improvement offered by SLM for a 1200 node test system topology consisting of several low-voltage residential networks populated with PEVs.

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Citations
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Journal ArticleDOI

Real-Time Coordination of Plug-In Electric Vehicle Charging in Smart Grids to Minimize Power Losses and Improve Voltage Profile

TL;DR: This paper proposes a novel load management solution for coordinating the charging of multiple plug-in electric vehicles (PEVs) in a smart grid system based on real-time (e.g., every 5 min) minimization of total cost of generating the energy plus the associated grid energy losses.
Journal ArticleDOI

Optimal Planning of Electric-Vehicle Charging Stations in Distribution Systems

TL;DR: In this article, a mathematical model for the optimal sizing of EV charging stations is developed with the minimization of total cost associated with EVs charging stations to be planned as the objective function and solved by a modified primal-dual interior point algorithm (MPDIPA).
Journal ArticleDOI

Investigating the Impacts of Plug-in Hybrid Electric Vehicles on Power Distribution Systems

TL;DR: A comprehensive model is proposed to study the PHEV impacts on residential distribution systems and its fundamental characteristics, i.e., PHEV battery capacity, PHEV state of charge (SOC), and PHEV energy consumption in daily trips are accurately modeled.
Journal ArticleDOI

Optimal Bidding Strategy for Electric Vehicle Aggregators in Electricity Markets

TL;DR: The optimal bidding strategy of an electric vehicle (EV) aggregator participating in day-ahead energy and regulation markets using stochastic optimization is determined and a new battery model is proposed for better approximation of the battery charging characteristic.
Journal ArticleDOI

A review of the stage-of-the-art charging technologies, placement methodologies, and impacts of electric vehicles

TL;DR: In this article, the authors present an extensive review of the three key areas of EV research, namely, EV charging technologies, the various impacts of EVs, and optimal EV charging station (CS) placement and sizing.
References
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Journal ArticleDOI

The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid

TL;DR: In this article, the authors proposed a coordinated charging strategy to minimize the power losses and to maximize the main grid load factor of the plug-in hybrid electric vehicles (PHEVs).
Journal ArticleDOI

A Reliability Perspective of the Smart Grid

TL;DR: This paper critically reviews the reliability impacts of major smart grid resources such as renewables, demand response, and storage and observes that an ideal mix of these resources leads to a flatter net demand that eventually accentuates reliability challenges further.
Book

Electric power distribution system engineering

Turan Gonen
TL;DR: In this paper, the authors discuss the role of the computer in distribution planning and the central role of data acquisition in the distribution planning process, and discuss the relationship between the load and loss factors of a distribution system.
ReportDOI

Evaluation of Utility System Impacts and Benefits of Optimally Dispatched Plug-In Hybrid Electric Vehicles (Revised)

P. Denholm, +1 more
TL;DR: In this article, the authors evaluate the effects of optimal plug-in hybrid charging under the assumption that utilities will indirectly or directly control when charging takes place, providing consumers with the absolute lowest cost of driving energy.
Journal ArticleDOI

Statistical Representation of Distribution System Loads Using Gaussian Mixture Model

TL;DR: In this article, a probabilistic approach for statistical modeling of the loads in distribution networks is presented, where the probability density functions (pdfs) of loads at different buses show a number of variations and cannot be represented by any specific distribution.
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