Optimal V2G scheduling of electric vehicles and Unit Commitment using Chemical Reaction Optimization

@article{Yu2013OptimalVS,
  title={Optimal V2G scheduling of electric vehicles and Unit Commitment using Chemical Reaction Optimization},
  author={James Jian Qiao Yu and Victor O. K. Li and Albert Y. S. Lam},
  journal={2013 IEEE Congress on Evolutionary Computation},
  year={2013},
  pages={392-399}
}
An electric vehicle (EV) may be used as energy storage which allows the bi-directional electricity flow between the vehicle's battery and the electric power grid. [] Key Method Our formulation considers the characteristics of EVs while optimizing the system total running cost. We employ Chemical Reaction Optimization (CRO), a general-purpose optimization algorithm to solve this problem and the simulation results on a widely used set of instances indicate that CRO can effectively optimize this problem.

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References

SHOWING 1-10 OF 35 REFERENCES

Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation

TLDR
This work proposes an aggregator that makes efficient use of the distributed power of electric vehicles to produce the desired grid-scale power and applies the dynamic programming algorithm to compute the optimal charging control for each vehicle.

Optimal Scheduling for Charging and Discharging of Electric Vehicles

TLDR
A globally optimal scheduling Scheme and a locally optimal scheduling scheme for EV charging and discharging which is not only scalable to a large EV population but also resilient to the dynamic EV arrivals are proposed.

Chemical Reaction Optimization for the optimal power flow problem

TLDR
The results given in this paper suggest that CRO is a better alternative for solving the OPF problem, as well as its variants for the future smart grid.

Optimal Energy and Catalyst Temperature Management of Plug-in Hybrid Electric Vehicles for Minimum Fuel Consumption and Tail-Pipe Emissions

TLDR
This paper develops a method to synthesize a supervisory powertrain controller (SPC) that achieves near-optimal fuel economy and tailpipe emissions under known travel distances and introduces a new variable energy-to-distance ratio (EDR) that plays an important role in adjusting both energy and catalyst thermal management strategies for PHEVs.

Unit Commitment by an Enhanced Simulated Annealing Algorithm

A new simulated annealing (SA) algorithm combined with a dynamic economic dispatch method has been developed for solving the short-term unit commitment (UC) problem. SA is used for the scheduling of

A study of electric vehicle battery charging demand in the context of Singapore

  • G. ShresthaS. Ang
  • Engineering
    2007 International Power Engineering Conference (IPEC 2007)
  • 2007
Continuing environmental concerns are moving electric vehicles into high gear of development. Plug-in type electric and hybrid vehicles are expected in the market anytime. The EV battery-charging

Optimizing smart energy control strategies for plug-in hybrid electric vehicle charging

TLDR
The potential benefits of using control mechanisms, that could be offered by a Home Energy control box, in optimizing energy consumption stemming from PHEV charging in a residential use case are investigated and smart energy control strategies based on quadratic programming are presented.

Optimal PMU placement for wide-area monitoring using chemical reaction optimization

TLDR
Simulation results show that, compared with other deterministic and metaheuristc algorithms, SCRO can find the optimal solutions in a shorter time for small-scale systems, and a near-optimal solution within a reasonable time even for a large-scale system.

Resource Scheduling Under Uncertainty in a Smart Grid With Renewables and Plug-in Vehicles

TLDR
An optimization algorithm is used to minimize the expected cost and emissions of the UC schedule for the set of scenarios indicating that the smart grid has the potential to maximally utilize RESs and GVs to reduce cost and emission from the power system and transportation sector.