A New Heuristic Providing an Effective Initial Solution for a Simulated Annealing approach to Energy Resource Scheduling in Smart Grids

Tiago M Sousa, Hugo Morais, R. Castro, Zita Vale

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of IEEE Symposium Series on Computational Intelligence
PublisherIEEE
Publication date2014
Pages132-139
ISBN (Print)978-1-4799-4546-7
DOIs
Publication statusPublished - 2014
EventIEEE Symposium Series on Computational Intelligence - Orlando, FL, United States
Duration: 9 Dec 201412 Dec 2014

Conference

ConferenceIEEE Symposium Series on Computational Intelligence
CountryUnited States
CityOrlando, FL
Period09/12/201412/12/2014

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