Conference paper
A New Heuristic Providing an Effective Initial Solution for a Simulated Annealing approach to Energy Resource Scheduling in Smart Grids
An intensive use of dispersed energy resources is expected for future power systems, including distributed generation, especially based on renewable sources, and electric vehicles. The system operation methods and tool must be adapted to the increased complexity, especially the optimal resource scheduling problem.
Therefore, the use of metaheuristics is required to obtain good solutions in a reasonable amount of time. This paper proposes two new heuristics, called naive electric vehicles charge and discharge allocation and generation tournament based on cost, developed to obtain an initial solution to be used in the energy resource scheduling methodology based on simulated annealing previously developed by the authors.
The case study considers two scenarios with 1000 and 2000 electric vehicles connected in a distribution network. The proposed heuristics are compared with a deterministic approach and presenting a very small error concerning the objective function with a low execution time for the scenario with 2000 vehicles.
Language: | English |
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Publisher: | IEEE |
Year: | 2014 |
Pages: | 132-139 |
Proceedings: | 2014 IEEE Symposium Series on Computational Intelligence |
ISBN: | 1479945455 , 1479945463 , 9781479945450 and 9781479945467 |
ISSN: | 23267690 |
Types: | Conference paper |
DOI: | 10.1109/ciasg.2014.7011563 |
ORCIDs: | Morais, Hugo |
Batteries Discharges (electric) Electric Vehicles Energy resources Generators Heuristics-based Initilization Optimal Resource Scheduling Power systems Simulated Annealing Simulated annealing Vehicle-to-Grid Vehicles distributed generation distributed power generation distribution network distribution networks electric vehicles energy resource scheduling energy resources power generation scheduling renewable sources simulated annealing simulated annealing approach smart grids smart power grids