Journal
CHAOS SOLITONS & FRACTALS
Volume 42, Issue 5, Pages 3169-3176Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2009.04.019
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Funding
- Ministry of Science and Technology
- Ministry of Water Resources [200701008]
- National 973 Program of China [2007CB714107]
- National Natural Science Foundation [50579022]
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The goal of this paper is to present a novel chaotic particle swarm optimization (CPSO) algorithm and compares the efficiency of three one-dimensional chaotic maps within symmetrical region for long-term cascaded hydroelectric system scheduling. The introduced chaotic maps improve the global optimal capability of CPSO algorithm. Moreover, a piecewise linear interpolation function is employed to transform all constraints into restrict upriver water level for implementing the maximum of objective function. Numerical results and comparisons demonstrate the effect and speed of different algorithms on a practical hydro-system. (C) 2009 Elsevier Ltd. All rights reserved.
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