Self-scheduling of electric vehicles in an intelligent parking lot using stochastic optimization

Honarmand, Masoud; Zakariazadeh, Alireza; Jadid, Shahram

doi:10.1016/j.jfranklin.2014.01.019

Cited by 85 publications

(31 citation statements)

References 44 publications

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“…These integer variables can be adopted to model the charging and discharging number of PEVs [70], the on/off status of a generator [100], the charging/ discharging status of PEV battery charging [136] and the charging time intervals [85]. Mixed Integer Programming therefore has been widely used in terms of these integer involved problems.…”

Section: Mixed Integer Programmingmentioning

confidence: 99%

“…The original problem is decomposed into a master MIP problem and a few LP sub-problems for computational implementation. From an isolated aggregator side, Honarmand et al [136] designed a selfscheduling MILP model for an intelligent PEV parking lot equipped with photovoltaic system and distributed generators forming a micro-grid. Spinning reserve is considered and provided by PEV and micro-turbines.…”

Section: Mixed Integer Programmingmentioning

confidence: 99%

“…Hajimiragha et al [79] 2010 Operational cost minimisation MILP CPLEX Hajimiragha et al [89] 2011 Operational cost minimisation Robust MILP CPLEX Beer et al [108] 2012 Operational cost minimisation MILP GAMS,CPLEX Yao et al [99] 2013 Deviation Minimisation MILP AMPL,CPLEX Amirioun et al [137] 2014 Welfare maximisation MILP GAMS,CPLEX Ortega-Vazquez et al [138] 2013 Unit commitment MILP Xpress-MP Khodayar et al [73] 2012 Unit commitment MILP CPLEX Liu et al [72] 2012 Unit commitment MILP AMPL,CPLEX Honarmand et al [136] 2014 Unit commitment MILP GAMS,CPLEX Sioshansi et al [113] 2011 Generation cost minimisation MILP AMPL,CPLEX Rezaei et al [139] 2014 Generation cost minimisation MILP Not stated Arslan and Karasan [93] 2013 Unit commitment MILP CPLEX Soares et al [94] 2012 Operational cost minimisation MILP Not stated Nurre et al [86] 2013 Welfare maximisation MILP CPLEX Weis et al [141] 2015 Unit commitment, emissions MILP NYISO Sun et al [142] 2015 Unit commitment MILP PLEXOS, Xpress Kiviluoma and Meiborn [140] 2011 Welfare maximisation MIP,LP Not stated Luo et al [144] 2013 Welfare maximisation MINLP Matlab,CPLEX Farahani et al [143] 2012 Operational cost minimisation MINLP GAMS,DICOPT Morais et al [80] 2014 Operational cost minimisation MINLP CPLEX Morais et al [146] 2015 Operational cost minimisation MINLP GAMS, DICOPT Zakariazadeh et al [107] 2014 Operational cost minimisation MINLP CPLEX,CONOPT Soares et al [81] 2013 Operational cost minimisation MINLP GAMS Ding et al [147] 2015 Investment cost minimisation MINLP Not stated Bai and Qiao [148] 2015 Generation cost minimisation RO,MINLP CPLEX Akhavan-Rezai et al [149] 2015 Priority maximisation MINLP Matlab, GAMS instruction was formulated by binary variables. Ding et al [147] proposed a MINLP model to minimise the facility investment cost for electric bus fast charging station.…”

Section: Authors and Refmentioning

confidence: 99%

See 2 more Smart Citations

Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review

Yang

Foley

2015

Renewable and Sustainable Energy Reviews

182

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Section: Mixed Integer Programmingmentioning

confidence: 99%

Section: Mixed Integer Programmingmentioning

confidence: 99%

Section: Authors and Refmentioning

confidence: 99%

See 1 more Smart Citation

Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review

Yang

Foley

2015

Renewable and Sustainable Energy Reviews

182

View full text Add to dashboard Cite

“…It is assumed that LCOE for the ESU includes the replacement cost as well. A variety of electricity prices, based on a highly dynamic tariff structure, are adopted from [101].…”

Section: Simulation Setupmentioning

confidence: 99%

A critical review of electric vehicle charging using solar photovoltaic

Bhatti

Salam

Aziz

et al. 2015

Int. J. Energy Res.

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SUMMARYThe application of renewable sources such as solar photovoltaic (PV) to charge electric vehicle (EV) is an interesting option that offers numerous technical and economic opportunities. By combining the emission-free EV with the low carbon PV power generation, the problems related to the greenhouse gases due to the internal combustion engines can be reduced. Over the years, numerous papers, including several review work, have been published on EV charging using the grid electricity. However, there seems to be an absence of a review paper on EV charging using the PV as one of the energy sources. With growing interest in this topic, this review summarizes and updates some of the important aspects of the PV-EV charging. For the benefit of a wider audience, it provides the background on the EV fundamentals, batteries and a brief overview on the PV systems. Two types of PV-EV charging, namely the PV-grid and the PV-standalone, are comprehensively covered. Moreover, a case study is carried out in comparison to the grid-only charging to critically analyse the technical and the economical feasibilities of both types using Matlab simulation. At the end, recommendations and future directions are presented. It is envisaged that the material gathered in this paper will be a valuable source of information for the researchers working on this topic.

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“…Constraints The main objective function is charging cost minimization with respect to various constraints [12].That constrains are explained as follows: a) Power Balance Constraint:…”

Section: Amentioning

confidence: 99%

Optimal Energy Management Algorithm for Plug in Hybrid Electric Vehicles

Lakshmi¹,

Kaleeswari²,

Rangasamy³

2015

IJAREEIE

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Plug in Hybrid Electric Vehicles (PHEVs) charging and discharging, renewable energy resource generation and utilization is most important in future power system control. Proper integration of these energy sources gives solution to the challenges. In this paper Mixed Integer Linear Programming (MILP) was proposed for plug in Hybrid Electric Vehicles charging and discharging in a charging station. Charging station consists of Photo Voltaic (PV) system with practical constraints, power balance constraints, battery charging and discharging constraints are considered. The results proposed that the proposed algorithm minimize the charging cost of PHEVs and optimal power flow for the grid connected PHEVs systems. Likewise, PHEVs owners could yield more profit by discharging their vehicles to the grid in addition to having preferred charge in the departure time.

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Self-scheduling of electric vehicles in an intelligent parking lot using stochastic optimization

Cited by 85 publications

References 44 publications

Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review

Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review

A critical review of electric vehicle charging using solar photovoltaic

Optimal Energy Management Algorithm for Plug in Hybrid Electric Vehicles

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