Title :
Optimal siting and sizing of distributed generation using a multiobjective index
Author :
Narvaez, P.A. ; Lopez-Lezama, J.M. ; Velilla Hernandez, E.
Author_Institution :
Interconexion Electr. S.A - ISA en la Direccion Ing. Corporativa, Brazil
Abstract :
This paper presents a methodology based on a genetic algorithm guided by a multiobjective index to evaluate the optimal siting and sizing of Distributed Generation in an electrical system. The objective function consists in improving the voltage profile, minimizing active power losses, emissions and reducing the investment costs. The proposed methodology was tested on a 34bus system showing satisfactory results.
Keywords :
cost reduction; distributed power generation; genetic algorithms; losses; 34bus system; active power losses minimization; distributed generation; electrical system; emission improvement; genetic algorithm; investment cost reduction; multiobjective index; objective function; optimal siting evaluation; optimal sizing evaluation; voltage profile improvement; Distributed power generation; Electronic mail; Electronics packaging; Genetic algorithms; IEC; Indexes; Silicon compounds; Distributed Generation; Genetic Algorithms; Multiobjective Optimization;
Conference_Titel :
Central America and Panama Convention (CONCAPAN XXXIV), 2014 IEEE
Conference_Location :
Panama City
DOI :
10.1109/CONCAPAN.2014.7000449
