Network Reconfiguration For Load Balancing In Distribution System With Distributed Generation And Capacitor Placement

Lantharthong, T.; Rugthaicharoencheep, N.

doi:10.5281/zenodo.1076546

Cited by 2 publications

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Simulation approach to improve power analysis network for integration of distributed generation

Ahmed

Nichita

2014

2014 International Conference and Exposition on Electrical and Power Engineering (EPE)

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The capability of the classical network to support the level penetration of Distribution Generation (DG) has been present to analysis how to achieve a better integration of flexible demand of Electrical Networks(Mesh and Radial systems). Based on this analysis, two simulation algorithms have been proposed to reduce CPU time and memory, can help the grid operator to assess power situation and increase penetration level of DG.Firstly, It deals with an algorithm developed for power load flow studies in electrical power systems using Schur complement method. By dividing Jacobian matrix into two separated matrices with reasonable computation time, It could be avoided divergence of the solution. A next step that was applied concerned Data Compression for the Simulated algorithms conceived to study load flow calculation in electrical power systems. Real time monitor of grids required less computation time in calculation of power system analysis. It proposed an algorithm based on Run Length Encoding (RLE) method where no zero values are included. Matlab results obtained by applying these algorithms match the analytical approaches. Results have been compared with Newton Raphson and Fast Decoupled methods in term of influence of convergence properties and it's efficiency. These methods have been implemented and tested on several IEEE bus test systems.

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Simulation approach to improve power analysis network for integration of distributed generation

Ahmed

Nichita

2014

2014 International Conference and Exposition on Electrical and Power Engineering (EPE)

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Distribution power loss minimization via optimal sizing and placement of shunt capacitor and distributed generator with network reconfiguration

Essa

Alnabi

Dhaher³

2021

TELKOMNIKA

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The population is speeding up and the demands for electrical energy are clearly increasing, this growth in load leads to higher power loss and Voltage drop. This paper is focused on a method to decrease the power losses and voltage profile improvement. The first suggested technique binary particle swarm optimization (BPSO) is utilized for solving the problem of the power loss minimization in network distribution. This work based on optimum position and sizing of the distribution generation (DG) units, shunt capacitor (SC) with network reconfiguration is applied to show the improvement of the network distribution efficiency. The MATLAB programming part and software package MATPOWER7 are used to simulate 69-bus and 33-bus test system with three different cases of loads and different number of DG and SC. The result showed a positive impact on system efficiency in comparison with other previous studies. This paper showed that increase of DG and capacitor does not usually give the best result although the increase of system cost, maintenance, and the units' distance for gas supplying.

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Network Reconfiguration For Load Balancing In Distribution System With Distributed Generation And Capacitor Placement

Cited by 2 publications

References 0 publications

Simulation approach to improve power analysis network for integration of distributed generation

Simulation approach to improve power analysis network for integration of distributed generation

Distribution power loss minimization via optimal sizing and placement of shunt capacitor and distributed generator with network reconfiguration

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