Title: Application of particle swarm optimisation based on immune evolutionary algorithm for optimal operation of cascade reservoirs

Authors: Jian-xia Chang, Fang Wan, Qiang Huang, Wen-lin Yuan, Yi-min Wang

Addresses: Institute of Water Resources and Hydroelectric Engineering, Xi'an University of Technology, Xi'an, China. ' Institute of Water Resources and Hydroelectric Engineering, Xi'an University of Technology, Xi'an, China. ' Institute of Water Resources and Hydroelectric Engineering, Xi'an University of Technology, Xi'an, China. ' Institute of Water Resources and Hydroelectric Engineering, Xi'an University of Technology, Xi'an, China. ' Institute of Water Resources and Hydroelectric Engineering, Xi'an University of Technology, Xi'an, China

Abstract: In the operation of complex cascade reservoirs, it is often challenged by the curse of dimensionality and solutions can get trapped in local optimal. This paper proposes a particle swarm optimisation based on immune evolutionary algorithm to solve the problems. This new algorithm can overcome the shortcomings with regards to the dependence on initial population and local optimisation of particle swarm optimisation algorithms. The feasibility of the proposed algorithm is demonstrated through an example system and the results are compared with that of other algorithms. The results have shown that this new algorithm is feasible for the problems of complex non-linear systems with some restraint conditions.

Keywords: cascade reservoirs; optimal operation; particle swarm optimisation; PSO; immune evolutionary algorithms; IEA; dimensionality; nonlinear systems.

DOI: 10.1504/IJMIC.2009.029268

International Journal of Modelling, Identification and Control, 2009 Vol.8 No.3, pp.233 - 239

Available online: 17 Nov 2009

Full-text access for editors Access for subscribers Purchase this article Comment on this article