An Innovative Two-Level Model for Electric Vehicle Parking Lots in Distribution Systems With Renewable Energy

Shafie‐khah, Miadreza; Siano, Pierluigi; Fitiwi, Desta Z.; Mahmoudi, Nadali; Catalão, João P.S.

doi:10.1109/tsg.2017.2715259

Cited by 111 publications

(59 citation statements)

References 58 publications

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“…The power factor of customer's loads and wind and PV units is 0.95 lagging and one, respectively. The specification of EVs is explained in Table 3 [38]. The price elasticity of the demand is considered, as listed in Table 4 [26].…”

Section: Numerical Resultsmentioning

confidence: 99%

“…These constraints are expressed in (6)-(10), respectively. It is noted that for the power flow, in this paper, a linear power flow is used based on (11)-(21) [38].…”

Section: Bi-level Modelmentioning

confidence: 99%

“…However, most of the studies have reasonably suggested that a truncated Gaussian distribution PDF can be used [38].…”

mentioning

confidence: 99%

“…The flowchart of the stochastic programming-based operational scheduling of SDISCO is shown in Figure 2. [38].…”

mentioning

confidence: 99%

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Risk-Based Bi-Level Model for Simultaneous Profit Maximization of a Smart Distribution Company and Electric Vehicle Parking Lot Owner

et al. 2017

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Abstract:In this paper, the effect of renewable energy resources (RERs), demand response (DR) programs and electric vehicles (EVs) is evaluated on the optimal operation of a smart distribution company (SDISCO) in the form of a new bi-level model. According to the existence of private electric vehicle parking lots (PLs) in the network, the aim of both levels is to maximize the profits of SDISCO and the PL owners. Furthermore, due to the uncertainty of RERs and EVs, the conditional value-at-risk (CVaR) method is applied in order to limit the risk of expected profit. The model is transformed into a linear single-level model by the Karush-Kuhn-Tucker (KKT) conditions and tested on the IEEE 33-bus distribution system over a 24-h period. The results show that by using a proper charging/discharging schedule, as well as a time of use program, SDISCO gains more profit. Furthermore, by increasing the risk aversion parameter, this profit is reduced.

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Section: Numerical Resultsmentioning

confidence: 99%

“…These constraints are expressed in (6)-(10), respectively. It is noted that for the power flow, in this paper, a linear power flow is used based on (11)-(21) [38].…”

Section: Bi-level Modelmentioning

confidence: 99%

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Risk-Based Bi-Level Model for Simultaneous Profit Maximization of a Smart Distribution Company and Electric Vehicle Parking Lot Owner

et al. 2017

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“…72 Electric vehicles are major players in smart grid. Such PLOs aim at managing their EVs within their parking lots to participate in the distribution markets and to maximize their profits.…”

Section: Electric Vehiclesmentioning

confidence: 99%

A review on the features and technologies for energy efficiency of smart grid

Anjana¹,

Shaji

2017

Int J Energy Res

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Summary In today's world striving for efficiency in every sector, especially power generation and distribution, smart grids emerge as the solution for efficiently meeting the increasing demand. They adjust themselves to optimally deliver energy at the lowest cost and highest quality possible. The grid successfully makes use of renewable energy resources, electric vehicles, and smart pricing techniques in its attempt to achieve energy efficiency. It also promotes a greener environment by striving to reduce greenhouse gas emissions. Information communication technology (ICT) helps the grid in collecting consumption data from the consumers and in sharing tariff information. ICT also helps to gather information about the status of the grid with regard to aspects like power quality, faults etc. The purpose of this paper is to review recent literature with a view to comprehensively present the technologies employed in the smart grid for achieving energy efficiency and the challenges involved therein.

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Multitime scale coordinated scheduling for electric vehicles considering photovoltaic/wind/battery generation in microgrid

Liu

Song

Mao

et al. 2019

Int Trans Electr Energ Syst

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Summary The problem of multitime scale coordinated scheduling for electric vehicles (EVs) with vehicle‐to‐grid (V2G) technology is formulated for a microgrid with photovoltaic/wind/battery generation. The life of the energy storage system in the microgrid, and the benefits for EV users are considered as the optimization goals. Reasonable measures of the charging and discharging behaviors of EVs are considered to construct the objective functions. A stratified sequencing method is designed to transform the multiobjective optimization problem into a single‐objective nonlinear optimization problem that can be solved through adaptive particle swarm optimization (APSO). Then an optimal multitime scale coordinated scheduling scheme can be obtained. The effectiveness and feasibility of the methods are verified by simulation results.

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An Innovative Two-Level Model for Electric Vehicle Parking Lots in Distribution Systems With Renewable Energy

Cited by 111 publications

References 58 publications

Risk-Based Bi-Level Model for Simultaneous Profit Maximization of a Smart Distribution Company and Electric Vehicle Parking Lot Owner

Risk-Based Bi-Level Model for Simultaneous Profit Maximization of a Smart Distribution Company and Electric Vehicle Parking Lot Owner

A review on the features and technologies for energy efficiency of smart grid

Multitime scale coordinated scheduling for electric vehicles considering photovoltaic/wind/battery generation in microgrid

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