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