Title :
Optimum allocation and sizing of distributed generators in Microgrid
Author :
Peng Li ; Tao Li ; Jiaming Li ; Jian Ma
Author_Institution :
State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Baoding, China
Abstract :
Microgrid has attracted much attention in recent years thanks to the promise of mitigating voltage drop and reducing line loss to the grid from a combination distributed generations (DG). Detailed analyses of the Microgrid´s radial network are carried out considering DG´s effect on line losses and voltage regulation. A combined graph-based and GA (Genetic Algorithm) new method is proposed to calculate the optimal allocation and sizing for DG in Microgrid. This novel method based on a large number of equations analysis and constraints including voltage boundary violation is employed to significantly simplify the complicated process and numerous assumptions in the traditional method. In a simulation case, it is found the correctness and feasibility of the proposed method in comparison with the traditional methods.
Keywords :
distributed power generation; electric potential; genetic algorithms; graph theory; power distribution lines; power grids; voltage control; DG; GA; combined graph-based method; distributed generator; genetic algorithm; line loss reduction; microgrid; optimal allocation; optimal sizing; voltage boundary violation; voltage drop mitigation; voltage regulation; Load modeling; Microgrids; Planning; Power transmission lines; Propagation losses; Resource management;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2013 International Conference on
Conference_Location :
Busan
Print_ISBN :
978-1-4799-1446-3
DOI :
10.1109/ICEMS.2013.6754476