Title :
Integrating Distributed Generator for restoration optimization
Author :
Shahrin, M.A.H. ; Nosu, K. ; Aoki, Hidetaka
Author_Institution :
Grad. Sch. of Sci. & Technol., Tokai Univ., Hiratsuka, Japan
Abstract :
Restoration Service has become important as distribution systems are becoming automated. However, because it is a complex control problem involves heuristic searches, there is still hard to find optimal solution. On the other hand, in recent years, Distributed Generators (DG) is being actively introduced in distribution systems. This paper proposed the integration of enhanced efficiency and environmental friendliness usage of heat and power, low emissions and noise of DG as a method for restoration optimization and the simulation result are showed.
Keywords :
distributed power generation; electric generators; environmental factors; optimisation; power system restoration; DG noise; complex control problem; distributed generator integration; distribution systems; environmental friendliness; low emissions; restoration optimization; restoration service; Conferences; Educational institutions; Generators; Genetic algorithms; Optimization; Substations; Switches; Distributed Generator; Genetic Algorithm; Restoration;
Conference_Titel :
Power and Energy (PECon), 2012 IEEE International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-5017-4
DOI :
10.1109/PECon.2012.6450320
