Title :
A Multiobjective Evolutionary Algorithm with Node-Depth Encoding for Energy Restoration
Author :
Santos, Augusto Cesar dos ; Delbem, Alexandre C B ; Bretas, Newton Geraldo
Author_Institution :
Fed. Tech. Sch. of Palmas, Palmas
Abstract :
On last decades, evolutionary algorithms (EA) have been utilized in many engineer´s applications. A raising application in electrical engineer has been in network reconfiguration. It can be performed to restore electricity for out-of-service areas after a fault has been identified and isolated. This paper presents an application of multiobjective EA for energy restoration in large-scale distribution networks. To improve EA performance for energy restoration, two techniques are employed: (1) the use of an efficient data structure that produces only feasible configurations, save RAM memory and running time; (2) a multiobjective method based on subpopulation tables. The proposed methodology provides an efficient alternative for network reconfiguration. Moreover, it can be used in problems which require online solutions.
Keywords :
distribution networks; energy management systems; evolutionary computation; graph theory; electrical engineer; energy restoration; large-scale distribution networks; multiobjective evolutionary algorithm; network reconfiguration; node-depth encoding; Data structures; Encoding; Evolutionary computation; Fault diagnosis; Large-scale systems; Network topology; Power engineering and energy; Power system restoration; Switches; Tree graphs; Distribution Systems; Energy Restoration; Multi-objective Problems; Network Reconfiguration; Node-depth Encoding;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.843
