This paper proposes a Particle Swarm Optimization (PSO) based technique for the optimal allocation of Distributed Generation (DG) units in the power systems. In this paper our aim is to decide optimal number, type, size and location of DG units for voltage profile improvement and power loss reduction in distribution network. Two types of DGs are considered and the distribution load flow is used to calculate exact loss. Load flow algorithm is combined appropriately with PSO till access to acceptable results of this operation. The suggested method is programmed under MATLAB software. Test results indicate that PSO method can obtain better results than the simple heuristic search method on the 30-bus and 33- bus radial distribution systems. It...
Minimization of real power loss and improvement of voltage authenticity of the network are amongst t...
This paper proposes the application of Parallel Particle Swarm Optimization (PPSO) technique to find...
Line losses are the most significant challenge faced by Pakistan's energy department. 6.5% of the co...
(PSO) based technique for the optimal allocation of Distributed Generation (DG) units in the power s...
The technology advancement in Distributed Generations (DG) has significantly influenced the environ...
The technology advancement in Distributed Generations (DG) has significantly influenced the environ...
AbstractThis paper presents a new methodology using particle swarm optimization (PSO) for the placem...
In this paper, an improved particle swarm optimization method (PSO) is proposed to optimally size an...
Due to the increasing need for electricity, insertion of distributed generation (DG) into a distribu...
This paper presents a new methodology using Particle Swarm Optimization(PSO) for the placement of Di...
For the purpose of improving the voltage profile and power losses reduction, this paper proposes all...
Distributed Generation (DG) placement on the basis of minimization of losses and maximization of sys...
AbstractOptimal placement and optimal sizing of Distributed Generation (DG) for the sake of reductio...
Proper placement of Distributed Generation(DG) in the distribution network is a veryvital and challe...
This paper proposes a particle swarm optimization (PSO) algorithm for optimal placement of distribut...
Minimization of real power loss and improvement of voltage authenticity of the network are amongst t...
This paper proposes the application of Parallel Particle Swarm Optimization (PPSO) technique to find...
Line losses are the most significant challenge faced by Pakistan's energy department. 6.5% of the co...
(PSO) based technique for the optimal allocation of Distributed Generation (DG) units in the power s...
The technology advancement in Distributed Generations (DG) has significantly influenced the environ...
The technology advancement in Distributed Generations (DG) has significantly influenced the environ...
AbstractThis paper presents a new methodology using particle swarm optimization (PSO) for the placem...
In this paper, an improved particle swarm optimization method (PSO) is proposed to optimally size an...
Due to the increasing need for electricity, insertion of distributed generation (DG) into a distribu...
This paper presents a new methodology using Particle Swarm Optimization(PSO) for the placement of Di...
For the purpose of improving the voltage profile and power losses reduction, this paper proposes all...
Distributed Generation (DG) placement on the basis of minimization of losses and maximization of sys...
AbstractOptimal placement and optimal sizing of Distributed Generation (DG) for the sake of reductio...
Proper placement of Distributed Generation(DG) in the distribution network is a veryvital and challe...
This paper proposes a particle swarm optimization (PSO) algorithm for optimal placement of distribut...
Minimization of real power loss and improvement of voltage authenticity of the network are amongst t...
This paper proposes the application of Parallel Particle Swarm Optimization (PPSO) technique to find...
Line losses are the most significant challenge faced by Pakistan's energy department. 6.5% of the co...