کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
765860 | 897059 | 2005 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A self-adaptive chaotic particle swarm algorithm for short term hydroelectric system scheduling in deregulated environment A self-adaptive chaotic particle swarm algorithm for short term hydroelectric system scheduling in deregulated environment](/preview/png/765860.png)
This paper proposes a short term hydroelectric plant dispatch model based on the rule of maximizing the benefit. For the optimal dispatch model, which is a large scale nonlinear planning problem with multi-constraints and multi-variables, this paper proposes a novel self-adaptive chaotic particle swarm optimization algorithm to solve the short term generation scheduling of a hydro-system better in a deregulated environment. Since chaotic mapping enjoys certainty, ergodicity and the stochastic property, the proposed approach introduces chaos mapping and an adaptive scaling term into the particle swarm optimization algorithm, which increases its convergence rate and resulting precision. The new method has been examined and tested on a practical hydro-system. The results are promising and show the effectiveness and robustness of the proposed approach in comparison with the traditional particle swarm optimization algorithm.
Journal: Energy Conversion and Management - Volume 46, Issue 17, October 2005, Pages 2689–2696