Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/81055
Title: Reactive power optimisation using an analytic hierarchical process and a nonlinear optimisation neural network approach
Authors: Zhu, J.Z. 
Chang, C.S. 
Yan, W.
Xu, G.Y.
Keywords: Analytic hierarchical process
Neural network
Nonlinear optimisation
Var optimisation
Issue Date: 1998
Citation: Zhu, J.Z.,Chang, C.S.,Yan, W.,Xu, G.Y. (1998). Reactive power optimisation using an analytic hierarchical process and a nonlinear optimisation neural network approach. IEE Proceedings: Generation, Transmission and Distribution 145 (1) : 89-96. ScholarBank@NUS Repository.
Abstract: A new idea using an analytic hierarchical process (AHP) is proposed for Var placement compensation. AHP uses parallel analytical criteria for selecting and ranking placement of Var compensation. Due to their independent nature these criteria are not necessarily the same although both aim to identify weak nodes in maintaining system voltages. AHP also considers quantitative criteria. It is especially suitable for problems that are difficult to analyse. AHP provides a simple, convenient and comprehensive means of selection and ranking. The proposed algorithms have been tested on the IEEE 14-bus and 30-bus systems with satisfactory results. The paper also proposes a new nonlinear optimisation neural network approach to study the reactive power problem. The approach is applied to Var control optimisation, in which the objective is to minimise the system voltage profile. The approach is a penalty-minimisation method with weights based on optimisation theory and neural optimisation methods. It is used to solve the nonlinear programming problem with equality and inequality constraints. The paper demonstrates that the energy function used is a Lyapunov function, and the equilibrium point of the proposed neural network corresponds to the optimal solution of a constrained optimisation problem. © IEE, 1998.
Source Title: IEE Proceedings: Generation, Transmission and Distribution
URI: http://scholarbank.nus.edu.sg/handle/10635/81055
ISSN: 13502360
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

31
checked on Nov 23, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.