Efficient integration of plug-in electric vehicles via reconfigurable microgrids

Kavousi‐Fard, Abdollah; Khodaei, Amin

doi:10.1016/j.energy.2016.06.018

Cited by 117 publications

(76 citation statements)

References 34 publications

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“…microgrids or islands (defined as a small grid network that can operate independently of a larger national grid), and cost reduction via renewable energy storage and arbitrage [37]. For example, several sources found that introducing V2G to a microgrid would decrease the cost of operation, reduce reliance on the outside grid and increase utilization of wind and solar [38,39]. A study of the Canary Islands found that assuming a certain threshold of V2G usage in tandem with pumped hydro storage reduced energy dependence while also increasing renewable share of load and reducing carbon emissions [40].…”

Section: Renewable Energy Storage and Integrationmentioning

confidence: 99%

The neglected social dimensions to a vehicle-to-grid (V2G) transition: a critical and systematic review

Sovacool

Noel

Axsen

et al. 2018

Environ. Res. Lett.

168

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Vehicle-to-grid (V2G) refers to efforts to bi-directionally link the electric power system and the transportation system in ways that can improve the sustainability and security of both. A transition to V2G could enable vehicles to simultaneously improve the efficiency (and profitability) of electricity grids, reduce greenhouse gas emissions for transport, accommodate low-carbon sources of energy, and reap cost savings for owners, drivers, and other users. To understand the recent state of this field of research, here we conduct a systematic review of 197 peer-reviewed articles published on V2G from 2015 to early 2017. We find that the majority of V2G studies in that time period focus on technical aspects of V2G, notably renewable energy storage, batteries, or load balancing to minimize electricity costs, in some cases including environmental goals as constraints. A much lower proportion of studies focus on the importance of assessing environmental and climate attributes of a V2G transition, or on the role of consumer acceptance and knowledge of V2G systems. Further, there is need for exploratory work on natural resource use and externalities, discourses and narratives as well as social justice, gender, and urban resilience considerations. These research gaps need to be addressed if V2G is to achieve the societal transition its advocates seek.

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Section: Renewable Energy Storage and Integrationmentioning

confidence: 99%

The neglected social dimensions to a vehicle-to-grid (V2G) transition: a critical and systematic review

Sovacool

Noel

Axsen

et al. 2018

Environ. Res. Lett.

168

View full text Add to dashboard Cite

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“…The five dashed lines represent the existing tie-lines in the original configuration. In order to reach all of the possible topologies, it is assumed that all of the branches are equipped with RCSs [32,33]. For the sake of simplicity, it has been assumed that all branches have an equal length and the distance of each RCS from critical points are calculated based on the related per unit amounts.…”

Section: Tests and Resultsmentioning

confidence: 99%

“…Charging/discharging and the amount of stored energy in ESSs are limited by Equations (32) and (33). Moreover, the state update function of ESS is modeled in Equations (35) and (36).…”

Section: Technical Constraintsmentioning

confidence: 99%

A Stochastic Model Predictive Control Approach for Joint Operational Scheduling and Hourly Reconfiguration of Distribution Systems

et al. 2018

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Due to the recent developments in the practical implementation of remotely controlled switches (RCSs) in the smart distribution system infrastructure, distribution system operators face operational challenges in the hourly reconfigurable environment. This paper develops a stochastic Model Predictive Control (MPC) framework for operational scheduling of distribution systems with dynamic and adaptive hourly reconfiguration. The effect of coordinated integration of energy storage systems and demand response programs through hourly reconfiguration on the total costs (including cost of total loss, switching cost, cost of bilateral contract with power generation owners and responsive loads, and cost of exchanging power with the wholesale market) is investigated. A novel Switching Index (SI) based on the RCS ages and critical points in the network along with the maximum number of switching actions is introduced. Due to nonlinear nature of the problem and several existing binary variables, it is basically considered as a Mixed Integer Non-Linear Programming (MINLP) problem, which is transformed into a Mixed Integer Linear Programming (MILP) problem. The satisfactory performance of the proposed model is demonstrated through its application on a modified IEEE 33-bus distribution system.

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“…It is worth noting that applying ESSs or NRESs to the isolated MG may increase the energy cost due to operational charge of these devices 3 . Moreover, in the grid‐connected MG in comparison to isolated MG, the load demand increases in the distribution network, system flexibility is reduced due to increasing the reduced uncertain parameters, and cost of distribution network operation is heightened 4 . However, the coupling neighbouring MGs is a suitable and profitable method for overloading management of MGs based on ref 5 …”

Section: Introductionmentioning

confidence: 99%

Two‐stage coupling of coordinated energy management and self‐healing strategies in a smart distribution network considering coupling neighbouring microgrids according to autonomous decentralized restoration technique

Zaheri

Khederzadeh

2020

Int Trans Electr Energ Syst

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One of the central approaches in the smart grid is to restore the smart distribution network (SDN) including different renewable sources and storage systems as microgrid formwork under fault conditions. Therefore, the automatic restoration processes need optimal power flow results in the SDN at fault times. Hence, this study proposed the optimal two‐stage coordinated energy management approach (CEMA) and self‐healing strategy (SHS) in the SDN in the presence of coupling neighbouring microgrids (CNMGs) according to autonomous decentralized restoration technique (ADRT). In the first stage, the SDN operation cost receiving from the upstream grid was minimized to obtain flexible and reliable network, followed by addressing network power flow equations, CNMG constraints including the renewable energy sources (RESs), energy storage systems (ESSs) and electric vehicles (EVs), and SDN operating limits. In the second stage, the optimal model of the ADRT formwork was defined based on the multi‐agent system (MAS). Also, the suitable restoration path was obtained with different zone agents distributed across the network CNMGs considering the minimization of the difference between the number of switching operation and priority loads restored as the normalized objective function. Furthermore, the scenario‐based stochastic programming was used to model the uncertainty of energy price, load, RES power, and EVs parameters. Finally, the proposed problem was solved by the Grey Wolf Optimization (GWO) algorithm and simulated on 33‐bus radial distribution network using MATLAB software. According to numerical results, the proposed strategy can offer the self‐healing and flexible‐reliable SDN in addition to the well‐suited overloading management for CNMGs.

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Efficient integration of plug-in electric vehicles via reconfigurable microgrids

Cited by 117 publications

References 34 publications

The neglected social dimensions to a vehicle-to-grid (V2G) transition: a critical and systematic review

The neglected social dimensions to a vehicle-to-grid (V2G) transition: a critical and systematic review

A Stochastic Model Predictive Control Approach for Joint Operational Scheduling and Hourly Reconfiguration of Distribution Systems

Two‐stage coupling of coordinated energy management and self‐healing strategies in a smart distribution network considering coupling neighbouring microgrids according to autonomous decentralized restoration technique

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