Abstract —This paper presents a new hybrid particle swarm optimization (HPSO) method for solving multi-objective real power optimization problem. The objectives of the optimization problem are to minimize the losses and to maximize the voltage stability margin. The proposed method expands the original GA and PSO to tackle the mixed –integer non- linear optimization problem and achieves the voltage stability enhancement with continuous and discrete control variables such as generator terminal voltages, tap position of transformers and reactive power sources. A comparison is made with conventional, GA and PSO methods for the real power losses and this method is found to be effective than other methods. It is evaluated on the IEEE 30 and 57 b...
This paper presents a new approach to the optimal reactive power planning based on fuzzy logic and p...
This paper presents a comparison of swarm intelligence and evolutionary techniques based approaches ...
In this paper, a Hybrid algorithm based on - Particle Swarm Optimization (PSO) and Differential Evol...
Abstract —This paper presents a new hybrid particle swarm optimization (HPSO) method for solving mul...
This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in ...
This paper presents a new Hybridized Algorithm (HA) for solving the multi-objective reactive power d...
AbstractRecent trend of research is to hybridize two and more algorithms to obtain superior solution...
Recent trend of research is to hybridize two and more algorithms to obtain superior solution in the ...
Abstract — the real power transfers by maintaining voltage stability and system reliability. It is a...
In this paper, Amended Particle Swarm Optimization Algorithm (APSOA) is proposed with the combinatio...
This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in ...
In this paper, a Hybrid algorithm based on- Particle Swarm Optimization (PSO) and Differential Evolu...
This study presents a novel hybrid multiobjective particle swarm optimization (HMOPSO) algorithm to ...
For multi-objective optimal reactive power dispatch (MORPD), a new approach is proposed where simult...
In this paper an Improved Particle Swarm Optimization (IPSO) algorithm is proposed to solve the op...
This paper presents a new approach to the optimal reactive power planning based on fuzzy logic and p...
This paper presents a comparison of swarm intelligence and evolutionary techniques based approaches ...
In this paper, a Hybrid algorithm based on - Particle Swarm Optimization (PSO) and Differential Evol...
Abstract —This paper presents a new hybrid particle swarm optimization (HPSO) method for solving mul...
This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in ...
This paper presents a new Hybridized Algorithm (HA) for solving the multi-objective reactive power d...
AbstractRecent trend of research is to hybridize two and more algorithms to obtain superior solution...
Recent trend of research is to hybridize two and more algorithms to obtain superior solution in the ...
Abstract — the real power transfers by maintaining voltage stability and system reliability. It is a...
In this paper, Amended Particle Swarm Optimization Algorithm (APSOA) is proposed with the combinatio...
This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in ...
In this paper, a Hybrid algorithm based on- Particle Swarm Optimization (PSO) and Differential Evolu...
This study presents a novel hybrid multiobjective particle swarm optimization (HMOPSO) algorithm to ...
For multi-objective optimal reactive power dispatch (MORPD), a new approach is proposed where simult...
In this paper an Improved Particle Swarm Optimization (IPSO) algorithm is proposed to solve the op...
This paper presents a new approach to the optimal reactive power planning based on fuzzy logic and p...
This paper presents a comparison of swarm intelligence and evolutionary techniques based approaches ...
In this paper, a Hybrid algorithm based on - Particle Swarm Optimization (PSO) and Differential Evol...