Title :
Optimal location of Distributed Generation using micro-genetic algorithm
Author :
Nayanatara, C. ; Baskaran, J. ; Kothari, D.P.
Author_Institution :
Dept. of Electr. & Electron. Eng., Sri SaiRam Eng. Coll., Chennai, India
Abstract :
The introduction of Distributed Generation (DG) devices for power system increases the stability, reduction in losses and increase in the cost of generation. In this paper Micro Genetic Algorithm (MGA) a non conventional optimization technique is used to optimize the various parameters. The various parameters taken into consideration are their type, location and size of the DG devices. The simulation on a distribution system with steady state basis was performed by modelling DG with different types. The results are compared and justified with another search method like Micro Genetic Algorithm (MGA). The results reveal the benefits of this method, which makes it challenging for solving simultaneous optimization problems of DG device in a power system network.
Keywords :
distributed power generation; genetic algorithms; power system stability; DG device; MGA; distributed generation device; micro genetic algorithm; nonconventional optimization technique; optimal location; power system network; power system stability; Artificial neural networks; Integrated circuits; Customer Benefit; Distributed Generation; Fuzzy Logic; Genetic Algorithm; Location; Micro Genetic Algorithm; Power Loss; Size;
Conference_Titel :
Computation of Power, Energy, Information and Communication (ICCPEIC), 2014 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3826-1
DOI :
10.1109/ICCPEIC.2014.6915419