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NR-n-DG
- It is code for( 33 and 69 bus IEEE data) Newton-Rapshan method and D.G. placement code also. One code is for minimizing a function using particle swarm optimization technique.
RECONFG
- This paper presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss and improving voltage profile in distribution system. A meta heuristic
A-combination-of-genetic-algorithm-and-particle-s
- A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental dema
3_DGPlaceOptimImperiCompAlgo
- DG Placement optimization in 33-bus and 69-bus distribution power systems using Imperialistic Competition optimization algorithm.
6_MultDGPlacOptimizationImperiCompAlgo
- Multiple DG Placement optimization in 33-bus and 69-bus distribution power systems in 2 different bus using Imperialistic Competition algorithm
109201289dg-placement
- This paper presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss and improving voltage profile in distribution system. A meta heuristic Harmon