Distributed Generation (DG) placement on the basis of minimization of losses and maximization of system voltage stability are two different approaches, discussed in research. In the new proposed algorithm, a multi-objective approach is used to combine the both approaches together. Minimization of power losses and maximization of voltage stability due to finding weakest voltage bus as well as due to weakest link in the system are considered in the fitness function. Particle Swarm Optimization (PSO) algorithm is used in this paper to solve the multi-objective problem. This paper will also compare the propose method with existing DG placement methods. From results, the proposed method is found more advantageous than the previous work in terms ...
Among major concerns of the conventional electrical power generation systems, are the issues related...
In this paper, an approach combining analytical method for the distributed generator (DG) sizing and...
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...
The main objective of the power system planner is to provide dependable and cost effective power sup...
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...
Nowadays, the penetration of Distributed Generation (DG) in power networks takes special place for t...
(PSO) based technique for the optimal allocation of Distributed Generation (DG) units in the power s...
Due to the increasing need for electricity, insertion of distributed generation (DG) into a distribu...
This paper proposes a Particle Swarm Optimization (PSO) based technique for the optimal allocation o...
Now-a-days, Determination of optimal location and size of Distributed Generation units is one of the...
This paper proposes a method for optimal placement of DG based on intelligent optimization technique...
Distributed generations (DGs) have important benefits in the electric power industry, such as a decr...
This paper presents a new approach for optimum simultaneous multi-DG (distributed generation) placem...
Among major concerns of the conventional electrical power generation systems, are the issues related...
In this paper, an approach combining analytical method for the distributed generator (DG) sizing and...
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...
The main objective of the power system planner is to provide dependable and cost effective power sup...
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...
Nowadays, the penetration of Distributed Generation (DG) in power networks takes special place for t...
(PSO) based technique for the optimal allocation of Distributed Generation (DG) units in the power s...
Due to the increasing need for electricity, insertion of distributed generation (DG) into a distribu...
This paper proposes a Particle Swarm Optimization (PSO) based technique for the optimal allocation o...
Now-a-days, Determination of optimal location and size of Distributed Generation units is one of the...
This paper proposes a method for optimal placement of DG based on intelligent optimization technique...
Distributed generations (DGs) have important benefits in the electric power industry, such as a decr...
This paper presents a new approach for optimum simultaneous multi-DG (distributed generation) placem...
Among major concerns of the conventional electrical power generation systems, are the issues related...
In this paper, an approach combining analytical method for the distributed generator (DG) sizing and...
AbstractThis paper presents a new methodology using particle swarm optimization (PSO) for the placem...