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三角旋回算法求解梯级电站群短期优化调度
Short-term Scheduling Optimization of Cascade Hydro Plants via Triangle Gyration Algorithm
【摘要】 提出一种新的全局优化方法——三角旋回算法,其具有结构简单、鲁棒性强和快速收敛的特点。算法的寻优过程采用历史最优目标函数值进行指导,利用三角变换进行迭代使其能够快速收敛到全局最优。文中用一个典型的算例对三角旋回算法进行了性能分析,并将该算法应用于梯级电站群短期(日前现货市场)优化调度中,通过与其他几种常见算法结果进行比较,认为该算法综合性能优越,在优化方法领域具有广阔的应用前景。
【Abstract】 A new global optimization method named triangle gyration algorithm (TGA) is proposed. It embodies the characteristics of simple structure, good robustness and fast convergence. The individual of algorithm in every generation is guided by the best objective function value and transformed by the trigonometric function, which ensure the whole progress could converge at the global optimal points soon. Compare to other usual optimization methods with a typical numerical example and short-term scheduling of cascade hydro plants, TGA manifests the best performance and has wide application prospect.
【Key words】 cascade hydro plants; optimization scheduling; triangle gyration algorithm (TGA);
- 【文献出处】 电力系统自动化 ,Automation of Electric Power Systems , 编辑部邮箱 ,2006年13期
- 【分类号】TM734
- 【被引频次】19
- 【下载频次】248