Optimal probabilistic charging of electric vehicles in distribution systems

Arias, Andrés Felipe González; Echeverri, Mauricio Granada; Castro, Carlos A.

doi:10.1049/iet-est.2016.0072

Cited by 44 publications

(23 citation statements)

References 19 publications

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“…A lot of studies have discussed the potential challenges and opportunities of EVs' integration into the DNs [4]- [5]. In [6] a probabilistic method for the optimal charging of EVs in DN is introduced. The object is to minimize the system losses.…”

Section: F LImentioning

confidence: 99%

“…The first category objective is to provide economic benefit for EV aggregators and EVs [9]- [10], [13]. The second category aims at providing technical benefits for the DN [2]- [6]. However, since the DN and EV aggregators are connected through the electrical system, individual operation may affect their technical and economic benefits.…”

Section: F LImentioning

confidence: 99%

“…The maximum/minimum charge and discharge powers of EVs are shown in (5) and (6), respectively. Constraint (7) indicates that EVs cannot be charged and discharged, at the same time.…”

Section: ) Ev Aggregator Constraintsmentioning

confidence: 99%

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A Decentralized Model for Coordinated Operation of Distribution Network and EV Aggregators

Mohiti

Monsef

Mazidi

et al. 2018

2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Syst

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With the rapid growth of electrical vehicles (EVs) in distribution networks (DNs), EV aggregators have been introduced as mediators between these two entities. EV aggregators and DN should be operated coordinately to bring potential benefits to both sides. In this paper, a decentralized model for coordinated operation of EV aggregators and DN is proposed in which the total cost of the system is minimized. An alternating direction method of multipliers (ADMM) is introduced to recast the model to a decentralized one. In ADMM method EV aggregators and DN operation problems are solved separately. Therefore, the computational burden of the problem is reduced while respecting the independency of the EV aggregators. The effectiveness of the proposed model is validated by a modified 33-IEEE bus system.

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Section: F LImentioning

confidence: 99%

Section: F LImentioning

confidence: 99%

See 1 more Smart Citation

A Decentralized Model for Coordinated Operation of Distribution Network and EV Aggregators

Mohiti

Monsef

Mazidi

et al. 2018

2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Syst

View full text Add to dashboard Cite

show abstract

“…However, the EVs still have to overcome some problems associated with the battery's autonomy, since the technology still needs to grow, and with the infrastructure of the charging stations, which are not yet installed massively. Thus, integrated planning of routes and charging stations is a problem that has been gaining great importance in the transport industry in the last years: Ge et al (2011); Dharmakeerthi et al (2012); Liu et al (2013); Wang et al (2013); Paz et al (2018); Arias et al (2017).…”

Section: Introductionmentioning

confidence: 99%

The electric vehicle routing problem with backhauls

Echeverri¹,

Cubides²,

Bustamante³

2020

10.5267/j.ijiec

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In the classical vehicle routing problem with backhauls (VRPB) the customers are divided into two sets; the linehaul and backhaul customers, so that the distribution and collection services of goods are separated into different routes. This is justified by the need to avoid the reorganization of the loads inside the vehicles, to reduce the return of the vehicles with empty load and to give greater priority to the customers of the linehaul. Many logistics companies have special responsibility to make their operations greener, and electric vehicles (EVs) can be an efficient solution. Thus, when the fleet consists of electric vehicles (EVs), the driving range is limited due to their battery capacities and, therefore, it is necessary to visit recharging stations along their route. In this paper the electric vehicle routing problem with backhauls (EVRPB) is introduced and formulated as a mixed integer linear programming model. This formulation is based on the generalization of the open vehicle routing problem considering a set of new constraints focussed on maintaining the arborescence condition of the linehaul and backhaul paths. Different charging points for the EVs are considered in order to recharge the battery at the end of the linehaul route or during the course of the backhaul route. Finally, a heuristic initialization methodology is proposed, in which an auxiliary graph is used for the efficient coding of feasible solutions to the problem. The operation and effectiveness of the proposed formulation is tested on two VRPB instance datasets of literature which have been adapted to the EVRPB.

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“…As far as electric vehicles are concerned, the first step is to characterize their charging demand [15]. In some cases, the system is simulated as a whole, and the operational benefits are optimized based on electric charging owners' behavior [16]. Alternatively, they are connected in a way that relieves distribution system constraints [17].…”

mentioning

confidence: 99%

Calculating Operational Patterns for Electric Vehicle Charging on a Real Distribution Network Based on Renewables’ Production

Lazarou¹,

Vita²,

Ekonomou³

2018

Energies

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The connection of electric vehicles to distribution networks has been an emerging issue of paramount importance for power systems. On one hand, it provides new opportunities for climate change mitigation, if electric energy used for charging is produced from zero emission sources. On the other hand, it stresses networks that are now required to accommodate, in addition to the loads and production from distributed generation they are initially designed for, loads from electric vehicles charging. In order to achieve maximum use of the grid without substantially affecting its performance, these issues have to be addressed in a coordinated manner, which requires adequate knowledge of the system under consideration. It is advantageous that electric vehicle charging can be controlled to a certain degree. This research provides better understanding of real distribution networks' operation, proposing specific operational points through minimizing electric vehicle charging effects. The probabilistic Monte Carlo method on high performance computers is used for the calculations.Energies 2018, 11, 2400 2 of 15 However, stochastic methods, and especially Monte Carlo [11], is computationally demanding even for today's standards; hence, specific operational points are developed in this study for a specific network [12].Electric vehicles charging would also require a grid expansion design factor [13]. Current research on electric vehicles, as far as the distribution network is concerned, gives emphasis to probabilistic methods in order to predict charging patterns, and predict the expected charging behavior. This also affects the connection points for distributed generations, that could be optimally different if connected points are based on probabilistic methods, taking into consideration their intermittency [14]. As far as electric vehicles are concerned, the first step is to characterize their charging demand [15]. In some cases, the system is simulated as a whole, and the operational benefits are optimized based on electric charging owners' behavior [16]. Alternatively, they are connected in a way that relieves distribution system constraints [17]. Active distribution network management could be done by aggregating electric vehicle behavior in a probabilistic manner [12]. Probabilistic studies have also shown good correlation between electric vehicles and renewables [18]. In this research, electric vehicle and load aggregation is performed on the level of a secondary distribution system, at the point of medium voltage (MV)/low voltage (LV) connection, and it is fully controlled.Having mentioned the above, several studies have researched the emerging phenomenon of electric vehicles. All of them are consumer oriented, giving emphasis to electric vehicles per se, and showing minimal consideration for the electricity grid. On the other hand, the research presented in the current paper is electric grid oriented. It is focused in the procedure of creating optimal electric grid operation points for electric vehicle charging for a r...

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Optimal probabilistic charging of electric vehicles in distribution systems

Cited by 44 publications

References 19 publications

A Decentralized Model for Coordinated Operation of Distribution Network and EV Aggregators

A Decentralized Model for Coordinated Operation of Distribution Network and EV Aggregators

The electric vehicle routing problem with backhauls

Calculating Operational Patterns for Electric Vehicle Charging on a Real Distribution Network Based on Renewables’ Production

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