This paper introduces a new approach based on chaotic strategy and neural network algorithm (NNA), called chaotic-based NNA (CNNA), to solve the optimal distributed generation allocation (ODGA), in radial distribution system (RDS). consists of determining locations sizes one or several generations (DGs) be inserted into RDS minimize multiple objectives while meeting set security limits. The rob...

An elliptical basis function (EBF) network is proposed in this study for the classification of remotely sensed images. Though similar in structure, the EBF network differs from the well-known radial basis function (RBF) network by incorporating full covariance matrices and uses the expectation-maximization (EM) algorithm to estimate the basis functions. Since remotely sensed data often take on ...

In this paper, to enhance voltage stability of distribution systems, a Network Topology based load flow results are used to calculate Voltage Stability Index (VSI). Then an algorithm for capacitor placement (CP) based on this voltage stability index is implemented to determine the optimal locations, number and size of fixed and/or switched shunt capacitors for voltage stability enhancement, in ...

This paper presents a new application of hybridized PSO for optimal allocation of single and multiple Distributed Generation (DG) units in distribution network. The proposed algorithm called Ranked Evolutionary Particle swarm optimization (REPSO) combines PSO with Evolutionary programming Optimization methods to simultaneously places and size DG units in radial distribution network. The perform...

In this paper, Artificial Neural Network, one of the Artificial Intelligence (AI) techniques, for the Volt / Var control in power distribution systems with dispersed generation (DG) is proposed. Artificial neural networks have been considered due to their ability for real time control, simpler calculations and adaptability to different operating conditions. Neuro-controllers are much more effec...