Bio-inspired Optimization Techniques for Compensation Reactive Power and Voltage Profile Improvement in the Syrian Electrical Distribution Systems

2019 ◽  
Author(s):  
Raseel I. Aljendy ◽  
Rinat R. Nasyrov ◽  
Hamdy M. Sultan ◽  
Ahmad A. Zaki Diab
Keyword(s):  
Distribution Systems ◽  
Reactive Power ◽  
Optimization Techniques ◽  
Voltage Profile ◽  
Electrical Distribution Systems ◽  
Electrical Distribution ◽  
Voltage Profile Improvement

scholarly journals Optimal Distributed Generation and Reactive Power Allocation in Electrical Distribution Systems

2016 ◽  
Vol 7 (3) ◽  
pp. 975-984 ◽  
Author(s):  
Benvindo R. Pereira ◽  
Geraldo R. Martins Martins da Costa ◽  
Javier Contreras ◽  
Jose R. Sanches Mantovani
Keyword(s):  
Power Allocation ◽  
Distributed Generation ◽  
Distribution Systems ◽  
Reactive Power ◽  
Electrical Distribution Systems ◽  
Electrical Distribution ◽  
Reactive Power Allocation

Maximum Loss Reduction and Voltage Profile Improvement with Placement of Hybrid Solar-Wind System

2013 ◽  
Vol 768 ◽  
pp. 371-377 ◽  
Author(s):  
E. Rekha ◽  
D. Sattianadan ◽  
M. Sudhakaran
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Systems ◽  
Reactive Power ◽  
Optimization Technique ◽  
Future Generation ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Voltage Profile Improvement

Distributed generators (DG) are much beneficial in reducing the losses effectively compared to other methods of loss reduction. It is expected to become more important in future generation. This paper deals with the multi DGs placement in radial distribution system to reduce the system power loss and improve the voltage profile by using the optimization technique of particle swarm optimization (PSO). The PSO provides a population-based search procedure in which individuals called particles change their positions with time. Initially, the algorithm randomly generates the particle positions representing the size and location of DG. The proposed PSO algorithm is used to determine optimal sizes and locations of multi-DGs. The objective function is the combination of real, reactive power loss and voltage profile with consideration of weights and impact indices with and without DG. Test results indicate that PSO method can obtain better results on loss reduction and voltage profile improvement than the simple heuristic search method on the IEEE33-bus and IEEE 90-bus radial distribution systems.

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.

Optimization of Real Power Loss and Voltage Stability Index for Distribution Systems with Distributed Generation

2017 ◽  
Vol 33 ◽  
pp. 100-114 ◽  
Author(s):  
Mostafa Elshahed ◽  
Mahmoud Dawod ◽  
Zeinab H. Osman
Keyword(s):  
Genetic Algorithm ◽  
Distributed Generation ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Reactive Power ◽  
Optimization Problems ◽  
Stability Index ◽  
Mixed Integer ◽  
Voltage Profile ◽  
Voltage Stability Index

Integrating Distributed Generation (DG) units into distribution systems can have an impact on the voltage profile, power flow, power losses, and voltage stability. In this paper, a new methodology for DG location and sizing are developed to minimize system losses and maximize voltage stability index (VSI). A proper allocation of DG has to be determined using the fuzzy ranking method to verify best compromised solutions and achieve maximum benefits. Synchronous machines are utilized and its power factor is optimally determined via genetic optimization to inject reactive power to decrease system losses and improve voltage profile and VSI. The Augmented Lagrangian Genetic Algorithm with nonlinear mixed-integer variables and Non-dominated Sorting Genetic Algorithm have been implemented to solve both single/multi-objective function optimization problems. For proposed methodology effectiveness verification, it is tested on 33-bus and 69-bus radial distribution systems then compared with previous works.

Sign in / Sign up

Export Citation Format

Share Document