This paper presents optimal placement and estimation of distributed generation (DG) capacity using Particle Swarm Optimization (PSO) approach in the radial distribution systems to reduce the real power losses and to gain voltage profile improvement. Furthermore, the proposed method focuses on the installation of the DGs and takes more number of significant parameters into account compare to the...

Different kind of methodologies have been presented in the last decades and achieved broad applications in structural damage detection (SDD). Particle swarm optimization (PSO) based algorithms have been confirmed to be effective for SDD. The method avoids inversion computation which is prone to be ill-posed or ill-conditioning. However, the accuracy of optimization algorithm is affected by its ...

This paper proposes an efficient method to solve the optimal power flow problem in power systems using Particle Swarm Optimization PSO . The objective of the proposed method is to find the steady-state operating point which minimizes the fuel cost, while maintaining an acceptable system performance in terms of limits on generator power, line flow, and voltage. Three different inertia weights, a...

This study presents a multi-objective formulation using Particle Swarm Optimization (PSO) approach, for optimal placement and sizing of distributed generation (DG) resources in the power distribution systems in order to minimize the cost of power losses and improve the voltage profile and energy not supplied. The proposed method considers the options of the DGs installation and takes more numbe...

A new approach for tuning the parameters of MultiScale Retinex (MSR) based color image enhancement algorithm using a popular optimization method, namely, Particle Swarm Optimization (PSO) is presented in this paper. The image enhancement using MSR scheme heavily depends on parameters such as Gaussian surround space constant, number of scales, gain and offset etc. Selection of these parameters, ...

This paper presents an efficient evolutionary method to optimize the gain ripple of multi-pumps photonic crystal fiber Raman amplifier using the Fuzzy Adaptive Modified PSO (FAMPSO) algorithm. The original PSO has difficulties in premature convergence, performance and the diversity loss in optimization as well as appropriate tuning of its parameters. The feasibility and effectiveness of the pro...

A new method for designing PID Controllers using Bode's ideal transfer function and constrained Particle Swarm Optimization (PSO) is proposed in this paper. Bode's ideal transfer function is introduced using fractional calculus and Carlsson's approximation is used for converting the transfer function from fractional to integer domain. The PID controller is designed by minimizing ...

This paper presents new application of Particle Swarm Optimization (PSO) algorithm for training Hidden Markov Models (HMMs). The problem of finding an optimal set of model parameters is numerical optimization problem constrained by stochastic character of HMM parameters. Constraint handling is carried out using three different ways and the results are compared to Baum-Welch algorithm (BW), comm...