Voltage profile improvement with distributed generation

2005 ◽  
Author(s):  
H. Iyer ◽  
S. Ray ◽  
R. Ramakumar
Keyword(s):  
Distributed Generation ◽  
Voltage Profile ◽  
Voltage Profile Improvement

scholarly journals Optimal Sizing and Siting of DG in Electrical Networks based on Systematic method

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2674-2683
Keyword(s):  
Distributed Generation ◽  
Power Factor ◽  
Distribution Systems ◽  
Electrical Network ◽  
Loss Reduction ◽  
Electrical Networks ◽  
Voltage Profile ◽  
Unity Power Factor ◽  
Electrical Distribution Systems ◽  
Voltage Profile Improvement

In this paper a simple and an efficient technique for determining the size(s) and site(s) for Distributed Generation systems in electrical distribution systems is presented for power loss saving and voltage profile improvement, giving suitable weighing factors to each one of the considered objectives. For this purpose a method of analytic has been developed and used, which is based on change in real and reactive parts in the branch currents caused by the DG located, and is tested on a 69-bus electrical network. Obtained results shows best loss reduction as well as voltage profile enhancement of the network under consideration. Among various power factors assumed, the operation of Distributed Generation corresponding to load power factor can enhances the system performance greatly, compared to that at unity power factor.

scholarly journals Integration of distributed generation and compensating capacitor in radial distribution system via firefly algorithm

2019 ◽  
Vol 16 (1) ◽  
pp. 67 ◽  
Author(s):  
N. Khuan ◽  
S. R. A. Rahim ◽  
M. H. Hussain ◽  
A. Azmi ◽  
S. A. Azmi
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Firefly Algorithm ◽  
Optimal Location ◽  
Voltage Profile ◽  
Radial Distribution System ◽  
Programming Software ◽  
Matlab Programming ◽  
Voltage Profile Improvement

<p>This paper presents an integration of distributed generation and capacitor in radial distribution system via Firefly Algorithm (FA).  In this study, the FA is developed in order to determine the optimal location and size for compensation schemes namely distributed generation (DG) and compensating capacitor (CC). The FA which is a meta-heuristic algorithm is inspired by the flashing behavior of fireflies. The proposed technique was tested on IEEE Reliability Test systems namely the IEEE 69-bus and the program was developed using the MATLAB programming software. The results shown a significant reduction in the line losses and voltage profile improvement has been obtained with the installation of distributed generation and capacitor in the system.</p>

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