Minimization of energy transmission cost and CO&lt;inf&gt;2&lt;/inf&gt; emissions using coordination of electric vehicle and wind power (W2V)

Bouallaga, Anouar; Merdassi, Asma; Davigny, Arnaud; Robyns, Benoît; Courtecuisse, V.

doi:10.1109/ptc.2013.6652299

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…Cost-aware EVs charging interacting with RESs Zhang and Chen [10], Chen and Duan [11], Tan et al [12], Verzijlbergh et al [13], Zhou et al [14], Shaaban and El-Saadany [15], Aunedi and Strbac [16], Derakhshandeh et al [17], Jin et al [18], Hu et al [19], Li et al [20], Vayá and Andersson [21], Vasirani et al [22], Gunter et al [23], Bouallaga et al [24], Saber and Venayagamoorthy [25], Fernandes et al [26], Khodayar et al [27], Dallinger and Wietschel [28], Zhao et al [29], Goonewardena and Le [30], Chen and Tong [31], Ghofrani et al [32], Wang et al [33], Saber and Venayagamoorthy [34], Kristoffersen et al [35], Li et al [36], Shen and Cui [37], Caramanis and Foster [38] Efficiency-aware EVs charging interacting with RESs…”

Section: Categorymentioning

confidence: 99%

“…Within different scenarios, it can be observed that PV solar distributed generator is at least irradiation of 720 W/m. Bouallaga et al [24] utilize fuzzy logic supervisor control to reduce energy transmission cost of the distribution system operator. Fuzzy logic supervisor is suitable for those systems which cannot perfectly modeled.…”

Section: Other Cost-aware Workmentioning

confidence: 99%

See 1 more Smart Citation

A review on electric vehicles interacting with renewable energy in smart grid

Liu

Kong

Liu

et al. 2015

Renewable and Sustainable Energy Reviews

260

107

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Section: Categorymentioning

confidence: 99%

Section: Other Cost-aware Workmentioning

confidence: 99%

A review on electric vehicles interacting with renewable energy in smart grid

Liu

Kong

Liu

et al. 2015

Renewable and Sustainable Energy Reviews

260

107

View full text Add to dashboard Cite

“…For example, coordination charging and alternative demand response with renewable energy sources (e.g., the concept Wind to Vehicle). The W2V coordinates the charging time of the vehicles with the wind farm generations [12] and [13]. In this case, the storage capacity of the vehicles can be used to mitigate the intermittency of the renewable energies.…”

Section: Statistical Studiesmentioning

confidence: 99%

Supervision of Plug-in Electric Vehicles Connected to the Electric Distribution Grids

Sarabi¹,

Kefsi²,

Merdassi³

et al. 2013

IJOEE

Self Cite

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In recent years, automobile industries focus on the electrification and hybridization of the vehicle's production. The number of Plug in Electric Vehicles (PEV) and Plug in Hybrid Electric Vehicles (PHEV) are significantly increasing through the next years. These raises impose negative impacts on the electrical power grids. In this study, a supervision system is proposed with the aim of reducing the power losses and voltage profile improvement, thanks to a dynamic programming optimization algorithm. V2G (Vehicle to Grid) technology is introduced as benefits of vehicle electrification for electrical distribution grids.  Index Terms-vehicle to grid (V2G), distribution network, PHEV, PEV, dynamic programming (DP), supervision system operator (SSO)

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“…The randomness and uncertainties of distributed generation of renewable energy systems and electric vehicle charging have attracted the great interest of the scholars to study in these topics, and some research results have been obtained. For example, the randomness of electric vehicle charging is considered, and the probability model is established ; the economic dispatch model for distribution systems with DGs and EVs is constructed, and the influence of DG and EV on the economic performance of the network is analyzed ; multiple objective optimization model for DG and EV coordination control is established ; a model for optimal siting and sizing of distributed generation in distribution systems with electric vehicles is proposed, and an algorithm based on genetic algorithm is used to solve the proposed optimization problem ; and a multi‐time‐scale‐based coordinative dispatch model for distributed generation and electric vehicles charging is proposed to smooth load fluctuation in distribution systems .…”

Section: Introductionmentioning

confidence: 99%

A power balancing method of distributed generation and electric vehicle charging for minimizing operation cost of distribution systems with uncertainties

Jiekang

et al. 2017

Energy Science & Engineering

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The output power of distributed generation depends on the wind speed, solar light intensity, and other climatic factors, which have intermittent and uncertain characteristics [4]. Because of the difference in energy state of battery, the expected driving distance in a day, the charging power, the expected charging time, and so on, electric vehicle charging also has uncertain characteristics. The uncertainties of distributed generation and electric vehicle charging may bring a great impact on distribution systems. The randomness and uncertainties of distributed MODELING AND ANALYSISA power balancing method of distributed generation and electric vehicle charging for minimizing operation cost of distribution systems with uncertainties AbstractA power balancing method of distributed generation (DG) and electric vehicle charging is presented for minimizing operation costs of distribution systems with uncertainties, which includes the uncertainties in output power of DG and the randomness of charging power of electric vehicles (EV). A probability model is established for the uncertain characteristics of DG and electric vehicle charging. A multi-state optimization coordination method for DG of renewable energy systems and electric vehicle charging in distribution systems based on quadratic rotation cone programming is presented to minimize the expected generation cost of generators in the main power grid, the expected operation cost of DG systems in distribution systems, and the expected social outage loss. An objective function maximizing the operation efficiency of distribution systems with DGs and EVs is proposed. Using quadratic rotated conic programming, the nonlinear objective function and constraint functions are transformed into a linear form. An IEEE 14-node distribution system is used as a study example to illustrate adaptability of the proposed model and the feasibility of the proposed method. The simulation results show that the proposed method simplifies the original problem of the optimization problem and makes its solution faster, more stable, and better. 168

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Minimization of energy transmission cost and CO<inf>2</inf> emissions using coordination of electric vehicle and wind power (W2V)

Cited by 6 publications

References 12 publications

A review on electric vehicles interacting with renewable energy in smart grid

A review on electric vehicles interacting with renewable energy in smart grid

Supervision of Plug-in Electric Vehicles Connected to the Electric Distribution Grids

A power balancing method of distributed generation and electric vehicle charging for minimizing operation cost of distribution systems with uncertainties

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