A Hybrid Approach Combining Local Search and Constraint Programming for a Large Scale Energy Management Problem^∗

¹ Faculty of Engineering and Natural Sciences, International University of Sarajevo, ulica Hrasnička 15, 71210 Sarajevo, Bosnia and Herzegovina.
haris.gavranovic@gmail.com
² Ecole des Mines d’Ales, LGI2P Research Center, 69 avenue Parc scientifique Georges Besse, 30035 Nimes, France.
mirsad.buljubasic@mines-ales.fr

Received: 7 October 2013
Accepted: 15 October 2013

Abstract

This paper presents a heuristic approach combining constraint satisfaction, local search and a constructive optimization algorithm for a large-scale energy management and maintenance scheduling problem. The methodology shows how to successfully combine and orchestrate different types of algorithms and to produce competitive results. We also propose an efficient way to scale the method for huge instances. A large part of the presented work was done to compete in the ROADEF/EURO Challenge 2010, organized jointly by the ROADEF, EURO and Électricité de France. The numerical results obtained on official competition instances testify about the quality of the approach. The method achieves 3 out of 15 possible best results.