基于改进萤火虫算法的超临界机组协调控制系统建模

Song M. Jiao
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引用次数: 2

摘要

随着电力工业的发展,超超临界机组已成为火力发电的主力机组。掌握机组协调控制系统的特点,可以提高整个系统的控制质量。进一步提高了发电的经济性和安全性。萤火虫算法是一种优秀的优化算法,适合于建模。但在实际应用中存在局部极值和优化精度低等问题。针对这些问题,设计了随机搜索和一些新的变系数策略来改进原算法。仿真结果表明,改进后的萤火虫算法在优化精度、收敛速度和局部极值消除能力等方面具有更好的性能。利用改进算法建立了三输入三输出耦合协调控制系统的数学模型。结果表明,这些模型与实际物体具有很好的相似性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coordinated control system modeling of supercritical unit based on improved firefly algorithm
With the development of power industry, ultra-supercritical unit becomes main thermal power-generate unit. If we grasp the characteristics of the unit's coordinated control system, control quality of the whole system can be improved. Furthermore, the economy and safety of power generation can be increased. Firefly algorithm is an excellent optimization algorithm and is suitable for modeling. But there exist some problems in its application such as local extreme and low optimization precision. Be aimed at these problems, random search and some new variable coefficient strategy are designed to improve original algorithm. Simulation results show that the improved firefly algorithm has better performance in optimization precision, convergence speed and ability of eliminating local extreme. The improve algorithm is used to set up a three-input-three-output coupled coordinated control system's mathematic model. Results showed that these models have excellent similarity with actual objects.
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