DocumentCode :
666945
Title :
Wind turbines allocation in smart grids
Author :
Siano, Pierluigi ; Piccolo, Antonio ; Rigatos, Gerasimos
Author_Institution :
Dept. of Ind. Eng., Univ. of Salerno, Fisciano, Italy
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
7654
Lastpage :
7659
Abstract :
The existing passive distribution networks, characterized by unidirectional power flows and a partial and centralized control, limit optimal management of Renewable Energy Sources (RES), therefore restraining their exploitation. A deep revision of the planning and management methodologies for distribution electrical networks is therefore required due to the increasing penetration of RES in distribution electrical networks In order to overcome the integration problems of Distributed Generation (DG) and RES, existing electrical distribution networks will, therefore, evolve from passive to active networks and smart grids, managed through systems based on Information and Communication Technology (ICT). In this paper a hybrid optimization method able to maximize the Net Present Value related to the investment made by Wind Turbines developers in an active distribution network and smart grids is proposed. The method, that combines Genetic Algorithms with a multi-period optimal power flow, is validated on a 69-bus 11 kV radial distribution network.
Keywords :
distributed power generation; genetic algorithms; load flow; power distribution planning; power system management; smart power grids; wind turbines; DG; ICT; Information and Communication Technology; RES; active distribution network; active networks; centralized control; distributed generation; genetic algorithms; hybrid optimization method; integration problems; management methodologies; multiperiod optimal power flow; net present value; partial control; passive distribution networks; passive networks; planning methodologies; radial distribution network; renewable energy sources; smart grids; unidirectional power flows; voltage 11 kV; wind turbines allocation; Genetic algorithms; Investment; Optimization methods; Real-time systems; Smart grids; Wind power generation; Wind speed; Active networks; distributed generation; genetic algorithms; optimization methods; power generation planning; smart grids; wind turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6700408
Filename :
6700408
Link To Document :
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