Particle Swarm Optimization Based Optimal Reliability Design of Composite Electric Power System Using Non-sequential Monte Carlo Sampling and Generalized Regression Neural Network

2013 ◽  
pp. 580-589
Author(s):  
R. Ashok Bakkiyaraj ◽  
Narayanan Kumarappan
Keyword(s):  
Neural Network ◽  
Monte Carlo ◽  
Particle Swarm Optimization ◽  
Electric Power ◽  
Sequential Monte Carlo ◽  
Monte Carlo Sampling ◽  
Electric Power System ◽  
Generalized Regression Neural Network ◽  
Swarm Optimization ◽  
Reliability Design

scholarly journals Perbandingan Metode Gaussian Particle Swarm Optimization (GPSO) dan Lagrange Multiplier pada Masalah Economic Dispatch

2012 ◽  
Vol 3 (1) ◽  
pp. 228
Author(s):  
Siti Komsiyah
Keyword(s):  
Particle Swarm Optimization ◽  
Electric Power ◽  
Lagrange Multiplier ◽  
Economic Dispatch ◽  
Particle Swarm ◽  
Economic Planning ◽  
Electric Power System ◽  
Planning Problem ◽  
Swarm Optimization ◽  
Economic Dispatch Problem

On electric power system operation, economic planning problem is one variable to take into account due to operational cost efficiency. Economic Dispatch problem of electric power generation is discussed in this study to manage the output division on several units based on the the required load demand, with minimum operating cost yet is able to satisfy equality and inequality constraint of all units and system. In this study the Economic Dispatch problem which has non linear cost function is solved using swarm intelligent method is Gaussian Particle Swarm Optimization (GPSO) and Lagrange Multiplier. GPSO is a population-based stochastic algorithms which their moving is inspired by swarm intelligent and probabilities theories. To analize its accuracy, the Economic Dispatch solution by GPSO method is compared with Lagrange Multiplier method. From the test result it is proved that GPSO method gives economic planning calculation better than Lagrange Multiplier does.

Use of Wavelet Transform and Generalized Regression Neural Network (GRNN) to the Characterization of Short-Duration Voltage Variation in Electric Power System.

2009 ◽  
Vol 7 (2) ◽  
pp. 217-222 ◽  
Author(s):  
Raimundo Nonato das Merces Machado ◽  
Ubiratan Holanda Bezerra ◽  
Evaldo Goncalves Pelaes ◽  
Roberto Celio Limao de Oliveira ◽  
Maria Emilia de Lima Tostes
Keyword(s):  
Neural Network ◽  
Wavelet Transform ◽  
Power System ◽  
Electric Power ◽  
Short Duration ◽  
Electric Power System ◽  
Generalized Regression Neural Network ◽  
Voltage Variation ◽  
Generalized Regression
Sign in / Sign up

Export Citation Format

Share Document