DocumentCode :
1669807
Title :
New nested evolutionary programming approach for voltage control optimization with distributed generation
Author :
Batrinu, Florentin ; Carpaneto, Enrico ; Chicco, Gianfranco ; De Donno, Maurizio ; Napoli, Roberto ; Porumb, Radu ; Postolache, Petru ; Toader, Cornel
Author_Institution :
Dip. Ingegneria Elettrica Ind., Politecnico di Torino, Italy
Volume :
3
fYear :
2004
Firstpage :
1007
Abstract :
This paper addresses the optimization of voltage control in distribution systems in the presence of distributed generation. The objective is minimizing the voltage deviations at the load nodes with respect to specified reference values. The optimization is solved by means of a new approach based on nested evolutionary programming. Results are shown on a test system including controls at the HV/MV and MV/LV substations, and voltage-controlled local generation sources.
Keywords :
distributed power generation; evolutionary computation; optimisation; power distribution control; substation automation; transformer substations; voltage control; distributed generation; distribution systems; load nodes; nested evolutionary programming approach; substation controls; test system; voltage control optimization; voltage deviation minimization; Automatic generation control; Control systems; Distributed control; Electrical equipment industry; Electronic mail; Genetic programming; Industrial control; Regulators; Substations; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrotechnical Conference, 2004. MELECON 2004. Proceedings of the 12th IEEE Mediterranean
Print_ISBN :
0-7803-8271-4
Type :
conf
DOI :
10.1109/MELCON.2004.1348224
Filename :
1348224
Link To Document :
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