随我国“双碳”战略提出，可再生能源发电装机容量不断增加，火电机组在电网调峰中发挥越来越重要的作用。为研究火电机组变负荷过程中的蒸汽参数反馈特性，以某300 MW火电机组为研究对象，在Dymola平台建立该机组动态模型，并在模型中嵌入通用的电厂控制配置，研究不同幅度负荷变化、不同速率负荷变化时机组的汽温特性。结果表明：相同速率变负荷过程中，由于嵌入主蒸汽温度控制系统，主蒸汽温度变化范围较小，由于不涉及再热汽温调整策略，再热蒸汽温度变化范围较大，最低为529.0 ℃；相同幅度负荷变化过程中，负荷变化速率越慢，主蒸汽温度偏离额定值的偏差越小，不同变负荷速率下再热蒸汽温度变化趋势相同，且最终都达到相同的稳定值。

With the introduction of the "double carbon" strategy in China, the installed capacity of renewable energy generation increases constantly, and thermal power units play an increasingly important role in grid peaking. In order to study the feedback characteristics of steam parameters during load variation in thermal power units,a dynamic model of a 300 MW thermal power unit was established on the Dymola platform, and the common plant control configuration was embedded in the model to study the dynamic characteristics of the unit with different magnitude load changes and different rate load changes. The results show that during the same rate of load variation, the main steam temperature varies in a smaller range due to the embedded main steam temperature control system, and the range of reheat steam temperature is relatively large due to the absence of reheat steam temperature adjustment strategy, with a minimum of 529.0 ℃. During the same magnitude of load variation, the slower the rate of load variation is, the smaller the deviation of the main steam temperature from the rated value is, and the reheat steam temperature has the same trend at different variable load rates, and eventually reaches the same stable value.

0 引言

1 案例火电机组概况

2 动态热力模型建立

   2.1 基本假设

   2.2 控制原理

   2.3 模型验证

3 结果与分析

   3.1 不同幅度变负荷汽温特性

   3.2 不同变负荷速率汽温特性

4 结论