A novel multi-objective discrete particle swarm optimization with elitist perturbation strategy (EPSMODPSO) is proposed and applied to solve the reconfiguration problem of shipboard power system(SPS). The new algorithm uses the velocity to decide each particle to move one step toward positive or negative direction to update the position. An elitist perturbation strategy is proposed to improve the local search ability of the algorithm. Reconfiguration model of SPS is established with multiple objectives, and an inherent homogeneity index is adopted as the auxiliary estimating index. Test results of examples show that the proposed EPSMODPSO performs excellent in terms of diversity and convergence of the obtained Pareto optimal front. It is co...
In this paper, an improved particle swarm optimization method (PSO) is proposed to optimally size an...
This paper projects Volition Particle Swarm Optimization (VP) algorithm for solving optimal reactive...
Particle swarm optimization (PSO) has been successfully applied to solve many practical engineering ...
Optimization techniques are widely applied in the power system planning and operation to achieve mor...
The naval electric ship is often subject to severe damages under battle conditions. The damages or f...
With the rapid development of the social economy, the rapid development of all social circles places...
1949-1956This paper addresses a novel method to optimize network reconfiguration problem in radial d...
Abstract: Distribution network reconfiguration is an important tool to optimize the operating condit...
In this paper, an Enhancedparticle swarm optimization algorithm (EPSO) has been proposed to solve th...
AbstractReactive power optimization problem is typical non-linear problem with characteristics of mu...
This paper presents a new versatile optimization algorithm called modified particle swarm optimizati...
Optimization (PSO) algorithm to solve the optimal network reconfiguration problem for power loss red...
To address the increasing demand and complexity, modern power systems need intelligence at almost al...
Shipboard power grid reconfiguration is a key ingredient for survivability, under adverse conditions...
Summarization: The extensive exploitation of electric power in ships enables the development of more...
In this paper, an improved particle swarm optimization method (PSO) is proposed to optimally size an...
This paper projects Volition Particle Swarm Optimization (VP) algorithm for solving optimal reactive...
Particle swarm optimization (PSO) has been successfully applied to solve many practical engineering ...
Optimization techniques are widely applied in the power system planning and operation to achieve mor...
The naval electric ship is often subject to severe damages under battle conditions. The damages or f...
With the rapid development of the social economy, the rapid development of all social circles places...
1949-1956This paper addresses a novel method to optimize network reconfiguration problem in radial d...
Abstract: Distribution network reconfiguration is an important tool to optimize the operating condit...
In this paper, an Enhancedparticle swarm optimization algorithm (EPSO) has been proposed to solve th...
AbstractReactive power optimization problem is typical non-linear problem with characteristics of mu...
This paper presents a new versatile optimization algorithm called modified particle swarm optimizati...
Optimization (PSO) algorithm to solve the optimal network reconfiguration problem for power loss red...
To address the increasing demand and complexity, modern power systems need intelligence at almost al...
Shipboard power grid reconfiguration is a key ingredient for survivability, under adverse conditions...
Summarization: The extensive exploitation of electric power in ships enables the development of more...
In this paper, an improved particle swarm optimization method (PSO) is proposed to optimally size an...
This paper projects Volition Particle Swarm Optimization (VP) algorithm for solving optimal reactive...
Particle swarm optimization (PSO) has been successfully applied to solve many practical engineering ...