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Coordinated control system modeling of supercritical unit based on improved firefly algorithm

机译:基于改进萤火虫算法的超临界单位协调控制系统建模

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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.
机译:随着电力行业的发展,超超临界单位成为主电力产生单位。如果我们掌握了该单位协调控制系统的特点,可以提高整个系统的控制质量。此外,可以增加发电的经济和安全性。 Firefly算法是一种优异的优化算法,适用于建模。但其应用中存在一些问题,例如局部极端和低优化精度。旨在这些问题,随机搜索和一些新的变量系数策略旨在提高原始算法。仿真结果表明,改进的萤火虫算法在优化精度,收敛速度和消除局部极端的能力方面具有更好的性能。改进算法用于建立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出色的相似性。

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