Title :
Chaotic simulated annealing neural network with decaying chaotic noise and its application in economic load dispatch of power systems
Author :
Ya-Lin, Mao ; Guo-zhong, Zhang ; Bin, Zhu ; Ming, Zhou
Author_Institution :
Dept. of Autom., Wuhan Univ., China
Abstract :
Based on chaotic neural network (CNN), chaotic simulated annealing model with decaying chaotic noise (CSA-DCN) is presented. This model combines some advantages of Hopfield neural network (HNN) and simulated annealing (SA) algorithm, and decaying chaotic noise produced by iterated functions of logistic map is inducted into this model, which means it can be used to solve many multidimensioned, discrete, nonconvex, nonlinear constrained optimization problems, such as economic load dispatch (ELD) of power systems. Involved the transmission loss and valve point effect (VPE), the CSA-DCN model is applied to solve the ELD problem, the simulation results of three examples show that the CSA-DCN model for the ELD problem is versatile, robust and efficient.
Keywords :
Hopfield neural nets; chaos; load dispatching; noise; power system economics; simulated annealing; Hopfield neural network; chaotic simulated annealing neural network; decaying chaotic noise; economic load dispatch; iterated functions; logistic map; nonlinear constrained optimization problem; power system; valve point effect; Cellular neural networks; Chaos; Hopfield neural networks; Logistics; Neural networks; Power generation economics; Power system economics; Power system modeling; Power system simulation; Simulated annealing;
Conference_Titel :
Information Reuse and Integration, 2004. IRI 2004. Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8819-4
DOI :
10.1109/IRI.2004.1431516