Minimization of real power loss and improvement of voltage authenticity of the network are amongst the key issues confronting power systems owing to the heavy demand development problem, contingency of transmission and distribution lines and the financial costs. The distributed generators (DG) has become one of the strongest mitigating strategies for the network power loss and to optimize voltage reliability over integration of capacitor banks and network reconfiguration. This paper introduces an approach for the optimizing the placement and sizes of different types of DGs in radial distribution systems using a fine-tuned particle swarm optimization (PSO). The suggested approach is evaluated on IEEE 33, IEEE 69 and a real network in Malaysi...
Line losses are the most significant challenge faced by Pakistan's energy department. 6.5% of the co...
Distributed Generation (DG) placement on the basis of minimization of losses and maximization of sys...
This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the s...
AbstractThis paper presents a new methodology using particle swarm optimization (PSO) for the placem...
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...
Among major concerns of the conventional electrical power generation systems, are the issues related...
The increasing energy demands are stressing the generation and transmission capabilities of the powe...
(PSO) based technique for the optimal allocation of Distributed Generation (DG) units in the power s...
There are several profits of distributed generator (DG) units which are believed for improving the s...
This paper proposes a Particle Swarm Optimization (PSO) based technique for the optimal allocation o...
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...
AbstractThis paper presents a new methodology using particle swarm optimization (PSO) for the placem...
Due to the increasing need for electricity, insertion of distributed generation (DG) into a distribu...
Line losses are the most significant challenge faced by Pakistan's energy department. 6.5% of the co...
Distributed Generation (DG) placement on the basis of minimization of losses and maximization of sys...
This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the s...
AbstractThis paper presents a new methodology using particle swarm optimization (PSO) for the placem...
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...
Among major concerns of the conventional electrical power generation systems, are the issues related...
The increasing energy demands are stressing the generation and transmission capabilities of the powe...
(PSO) based technique for the optimal allocation of Distributed Generation (DG) units in the power s...
There are several profits of distributed generator (DG) units which are believed for improving the s...
This paper proposes a Particle Swarm Optimization (PSO) based technique for the optimal allocation o...
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...
AbstractThis paper presents a new methodology using particle swarm optimization (PSO) for the placem...
Due to the increasing need for electricity, insertion of distributed generation (DG) into a distribu...
Line losses are the most significant challenge faced by Pakistan's energy department. 6.5% of the co...
Distributed Generation (DG) placement on the basis of minimization of losses and maximization of sys...
This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the s...