Turbine start-up algorithm based on prediction of rotor thermal stress

A. Nakai, M. Nakamoto, A. Kakehi, S. Hayashi
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引用次数: 9

Abstract

This paper presents a control algorithm for a time-optimal control of a thermal power plant based on predictive control. In a thermal power plant the temperature between the hot steam and the cold rotor causes the thermal stress. The excess thermal stresses shorten the life span of the steam turbine rotor and restrict the start up time of the plant. The control algorithm designed by a model predictive control method calculates the optimal future profile of the steam flow rate at every control interval. The actual steam flow rate is controlled to the optimal profile which enables start up of the turbine in the shortest period keeping the thermal stress under the allowable value. Numerical examples show the effectiveness of the algorithm.
基于转子热应力预测的汽轮机启动算法
提出了一种基于预测控制的火电厂时间最优控制算法。在热电厂中,热蒸汽和冷转子之间的温度引起热应力。过高的热应力缩短了汽轮机转子的寿命,限制了机组的启动时间。采用模型预测控制方法设计控制算法,计算每个控制区间内蒸汽流量的最优未来曲线。将实际蒸汽流量控制在最佳型线,使汽轮机在最短的时间内启动,并使热应力低于允许值。数值算例表明了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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