Optimal siting and sizing of electric vehicle public charging stations considering smart distribution network reliability

Mohsenzadeh, Amin; Pang, Chengzong; Pazouki, Samaneh; Haghifam, Mahmoud‐Reza

doi:10.1109/naps.2015.7335241

Cited by 17 publications

(12 citation statements)

References 19 publications

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“…In this regard, the feasibility studies of solar PVbased CS are a new research area for the upcoming years. [36] GA distribution network power loss and voltage drop [20] GA distribution network DRP energy not supplied (ENS) and CSs related costs [84] GA distribution network -CS cost [39] GA traffic flow cost of investment, transportation cost [43] modified GA traffic flow overall energy overhead and driving distance [74] GA EV flow budget [27] MIP and GA maximum coverage cost of investment, transportation cost [85] modified GA traffic flow cost of investment and transportation cost [41] Modified GA coverage and convenience to EV user's cost of investment and power loss [86] GA and power flow tracing method distribution network net benefit of discharging programs, day time charging, reliability improvement, investment cost [80] GA and Monte Carlo simulation distribution network DRP cost of investment, operation cost and mobility cost [24] MATLAB programming traffic flow - construction cost, cost of investment, running cost [9] adaptive PSO traffic flow reliability improvement, power loss reduction and peak power [21] PSO distribution network annual operating income of CSs, investment costs, transmission line investment cost, auxiliary road construction cost, net road costs [22] PSO and weighted Voronoi diagram road network size of CS [38] hybrid of GA and PSO road network cost of operation of cs, investment cost of distribution transformer and network losses [26] PSO -construction cost for charging/exchanging facilities and power network investment [37] PSO road network land cost, construction cost, operation cost [23] chaotic quantum PSO traffic flow power loss [11] time-series analysis and PSO road network power line loss, travelling cost, investment cost and operating cost [44] ACO traffic flow energy efficiency [45] ER-ACO -cost, power loss [46] hybrid ACO and bees algorithm traffic condition transmission loss […”

Section: (Iii) Feasibility Studies Of Solar Photovoltaic (Pv)-based Ementioning

confidence: 99%

Electric vehicles in a smart grid: a comprehensive survey on optimal location of charging station

Bilal

Rizwan

2020

IET Smart Grid

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The burning of fossil fuels and the emission of greenhouse gases motivates policymakers to think about the transition in their approach towards electric vehicles (EVs) from conventional ones. Transportation vehicles' electrification drives the attention of various researchers and scientists towards the emergence of charging stations (CSs). CS placement is a matter of great concern for large scale penetration of EVs. Old infrastructure causes several challenges in planning the ideal placement of the CS since EVs have not prevailed in recent years. Recently, a lot of studies have been performed on CS placement, which attracts the attention of researchers. Various approaches, objective functions, constraints and range of optimisation techniques are addressed by researchers for optimal placement of CS. This study provides the research outcomes in respect of the placement of CS over the past few years based on objective functions, solution methods, geographic conditions and demandside management.

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Section: (Iii) Feasibility Studies Of Solar Photovoltaic (Pv)-based Ementioning

confidence: 99%

Electric vehicles in a smart grid: a comprehensive survey on optimal location of charging station

Bilal

Rizwan

2020

IET Smart Grid

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“…Various methods have been developed to solve this problem, such as the mixed-integer non-linear programming [120], and genetic algorithms [121,122]. Several objective functions have been considered such as the charging reliability and quality maximization [123], coverage maximization [124], and a weighted summation of reliability, power loss, and voltage drop [125].…”

Section: Impact On Charging Stations -Position and Sizementioning

confidence: 99%

A review on charging behavior of electric vehicles: data, model, and control

Jia

2020

Control Theory Technol.

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The adoption and usage of electric vehicles (EVs) have emerged recently due to the increasing concerns on the greenhouse gas issues and energy revolution. As a part of the smart grid, EVs can provide valuable ancillary services beyond consumers of electricity. However, EVs are gradually considered as nonnegligible loads due to their increasing penetration, which may result in negative effects such as voltage deviations, lines saturation, and power losses. Relationship and interaction among EVs, charging stations, and micro grid have to be considered in the next generation of smart grid. Therefore, the topic of smart charging has been the focus of many works where a wide range of control methods have been developed. As one of the bases of simulation, the EV charging behavior and characteristics have also become the focus of many studies. In this work, we review the charging behavior of EVs from the aspects of data, model, and control. We provide the links for most of the data sets reviewed in this work, based on which interested researchers can easily access these data for further investigation.

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“…V2G is a scheme allowing EVs to earn revenue by returning power to the grid. Mohsenzadeh, Pang, Pazouki, and Haghifam () provided candidate place of EV charging stations in IEEE 33 bus test network considering net installation cost, penalty cost for unreliability as well as power loss as the objective function and voltage limit as a constraint. The authors computed the optimal locations of charging stations for two scenarios of with and without distance constraint.…”

Section: Modeling Of Charging Infrastructure Planning Problemmentioning

confidence: 99%

Review of recent trends in charging infrastructure planning for electric vehicles

Deb

Tammi

Kalita

et al. 2018

WIREs Energy & Environment

129

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1. This work presents the scenario of charging infrastructure development across selected countries. An overview and importance of home charging is also presented in the work. 2. This paper also provides a deep insight of the complex and dynamic nature of the optimal placement of charging station problem, thereby considering the demand, logistics, and supply aspects related to the problem. 3. An overview and comparative analysis of different modeling approaches of charging station placement problem adopted by researchers is provided. 4. The different objective functions and constraints of the charging station placement problem are also discussed along with a brief understanding of the optimization algorithms adopted for the solution of this placement problem.The paper starts with an attempt to provide scenario of the charging infrastructure planning across selected countries, importance of home charging, and then presents a general overview and brief classification of the problem. The modeling approaches and the objective functions presented in different charging system studies are discussed in the work. Finally, the work concludes by identifying the future direction of work possible in this paradigm.

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Optimal siting and sizing of electric vehicle public charging stations considering smart distribution network reliability

Cited by 17 publications

References 19 publications

Electric vehicles in a smart grid: a comprehensive survey on optimal location of charging station

Electric vehicles in a smart grid: a comprehensive survey on optimal location of charging station

A review on charging behavior of electric vehicles: data, model, and control

Review of recent trends in charging infrastructure planning for electric vehicles

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