๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Voltage and reactive power control by particle swarm optimization considering control process

โœ Scribed by Hidenori Aoki; Yoshibumi Mizutani

Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
729 KB
Volume
151
Category
Article
ISSN
0424-7760

No coin nor oath required. For personal study only.

โœฆ Synopsis

This paper presents a new approach to optimal voltage and reactive power control based on a particle swarm optimization (PSO). According to the proposed method, one controller is selected by PSO and the number of control actions to the convergence of the objective function is taken into account. Thus, this method can be used to design a control process. So far, no methods using PSO algorithms for a control process have been proposed. The effectiveness of the proposed method is demonstrated by application to 15-bus and 118-bus systems.

๐Ÿ“œ SIMILAR VOLUMES

Identification and control of nonlinear
Identification and control of nonlinear systems by a dissimilation particle swarm optimization-based Elman neural network
โœ Hong-Wei Ge; Feng Qian; Yan-Chun Liang; Wen-li Du; Lu Wang ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 357 KB

In this paper, we first present a learning algorithm for dynamic recurrent Elman neural networks based on a dissimilation particle swarm optimization. The proposed algorithm computes concurrently both the evolution of network structure, weights, initial inputs of the context units, and self-feedback