Optimal location and sizing of photovoltaic plant

Author

Sosic, Darko ; Skokljev, Ivan

Author_Institution

Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia

fYear

2013

fDate

20-23 Oct. 2013

Firstpage

121

Lastpage

126

Abstract

Location and sizing of photovoltaic plant from the aspect of independent power market participant are studied. Of the two methods developed, the first one is based on the DC network model and the second one relies on full AC model of the network. Genetic algorithm with the twofold objective function is used. The first goal is to locate the network node with the maximum available transfer capability (ATC) under the bilateral transactions regime and the second, to maximize the sizing of the plant in that node. The two standard test systems, the IEEE 5-buses system and the IEEE 30-buses system, show the applicability of the method in the paper.

Keywords

IEEE standards; genetic algorithms; photovoltaic power systems; power engineering computing; power markets; power system planning; AC network model; ATC; DC network model; IEEE 30 buses system; IEEE 5 buses system; available transfer capability; bilateral transactions regime; genetic algorithm; independent power market; network node; optimal location; photovoltaic plant; sizing; Genetic algorithms; Optimization; Power generation; Production; Renewable energy sources; Sociology; Statistics; available transfer capability; distributed generation; genetic algorithm; optimization; photovoltaic system; sizing;

fLanguage

English

Publisher

ieee

Conference_Titel

Renewable Energy Research and Applications (ICRERA), 2013 International Conference on

Conference_Location

Madrid

Type

conf

DOI

10.1109/ICRERA.2013.6749737

Filename

6749737