Reliability constrained unit commitment with electric vehicle to grid using Hybrid Particle Swarm Optimization and Ant Colony Optimization

Ghanbarzadeh, Taraneh; Goleijani, Sassan; Moghaddam, Mohsen Parsa

doi:10.1109/pes.2011.6039696

Cited by 29 publications

(23 citation statements)

References 14 publications

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“…Additionally, power system operations are also Table 2 Summary of optimization for V2G control strategy. [17,18,28,31,51,68,[82][83][84][85][86][87][88]90,91] (b) Load leveling (b) Maximize renewable energy generation limited by numerous constraints in the process of achieving multiple objectives [82]. For the V2G system, the dynamic and random behaviors of EV mobility will further increase the power system complexity.…”

Section: Optimization Of V2g Algorithmmentioning

confidence: 99%

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Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques

Tan

Ramachandaramurthy

Yong

2016

Renewable and Sustainable Energy Reviews

679

247

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Section: Optimization Of V2g Algorithmmentioning

confidence: 99%

“…The power grid operation cost includes fuel cost, start-up cost and V2G cost [86,90]. Fuel cost, FC is expressed as a second order function of the unit generated power as shown below [17]:…”

Section: Operation Costmentioning

confidence: 99%

Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques

Tan

Ramachandaramurthy

Yong

2016

Renewable and Sustainable Energy Reviews

679

247

View full text Add to dashboard Cite

“…These heuristics presented an initial solution worse than the ACO in [86], however shown a much lower execution time than the ACO algorithm. Beyond the mentioned use of ACO to provide the initial solution to SA proposed in [86], a hybrid PSO and ACO algorithm is proposed in [112] to deal with short-term unit commitment problem with EVs considering different reliability limits.…”

Section: Heuristic and Meta-heuristic Algorithmsmentioning

confidence: 99%

Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects

Hu¹,

Morais²,

Sousa

et al. 2016

Renewable and Sustainable Energy Reviews

370

197

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a b s t r a c tElectric vehicles can become integral parts of a smart grid, since they are capable of providing valuable services to power systems other than just consuming power. On the transmission system level, electric vehicles are regarded as an important means of balancing the intermittent renewable energy resources such as wind power. This is because electric vehicles can be used to absorb the energy during the period of high electricity penetration and feed the electricity back into the grid when the demand is high or in situations of insufficient electricity generation. However, on the distribution system level, the extra loads created by the increasing number of electric vehicles may have adverse impacts on grid. These factors bring new challenges to the power system operators. To coordinate the interests and solve the conflicts, electric vehicle fleet operators are proposed both by academics and industries. This paper presents a review and classification of methods for smart charging (including power to vehicle and vehicle-to-grid) of electric vehicles for fleet operators. The study firstly presents service relationships between fleet operators and other four actors in smart grids; then, modeling of battery dynamics and driving patterns of electric vehicles, charging and communications standards are introduced; after that, three control strategies and their commonly used algorithms are described; finally, conclusion and recommendations are made.

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“…Particle swarm optimization (PSO) has been used to address EDP with wind power and EV battery swap stations [78]. PSO has also been applied in reliability constrained unit commitment from EV to grid [79]. The combination of modern heuristic optimisation algorithms and Monte Carlo experiments have proved to be an efficient solution in address the optimisation problem.…”

Section: Solution For Edp Considering Phevs/evsmentioning

confidence: 99%

Demand Response and Economic Dispatch of Power Systems Considering Large-Scale Plug-in Hybrid Electric Vehicles/Electric Vehicles (PHEVs/EVs): A Review

Liu

et al. 2013

Energies

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Abstract:Increasing concerns about global environmental issues have led to the urgent development of green transportation. The enthusiasm of governments should encourage the prosperity of the plug-in hybrid electric vehicles/electric vehicles (PHEVs/EVs) industry in the near future. PHEVs/EVs are not only an alternative to gasoline but are also burgeoning units for power systems. The impact of large-scale PHEVs/EVs on power systems is of profound significance. This paper discusses how to use PHEVs/EVs as a useful new tool for system operation and regulation from a review of recent studies and mainly considers two mainstream methods: demand response and economic dispatch. The potential of using PHEVs/EVs to coordinate renewable energy resources is also discussed in terms of accepting more renewable resources without violating the safety and the reliability of power systems or increasing the operation cost significantly.

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Reliability constrained unit commitment with electric vehicle to grid using Hybrid Particle Swarm Optimization and Ant Colony Optimization

Cited by 29 publications

References 14 publications

Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques

Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques

Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects

Demand Response and Economic Dispatch of Power Systems Considering Large-Scale Plug-in Hybrid Electric Vehicles/Electric Vehicles (PHEVs/EVs): A Review

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