张小科,韩崇尚,郝倚燃,王建波,张少锋,胡怀中

• 1:国网河南省电力公司电力科学研究院
• 2:西安交通大学自动化科学与工程学院

摘要(Abstract)：

“双碳”背景下要求直流炉供热机组具备快速变负荷能力。对此，提出一种基于线性时变模型预测控制（linear time-varying model predictive control,LTV-MPC）的电热协调变负荷策略，可同时利用锅炉蓄热和热网蓄热以提高变负荷速率。首先，对热负荷信号偏差进行积分从而建立等效热负荷模型，并将其作为预测模型的被控量之一；然后，以负荷快速跟踪、机组运行稳定以及供热及时补偿作为MPC滚动优化的目标，进而在线求解每个时刻的最优控制律并作用于机组，此外，显式处理了机组运行约束，确保供热抽汽流量变化不会影响低压缸运行稳定性；最后，基于某350 MW机组进行仿真验证，结果表明，该策略能够实现对5%Pe/min变负荷指令的精准跟踪，且相较于基于PID的电热协调变负荷策略，热负荷恢复时间缩短26%。仿真结果验证了所提策略在提升供热机组快速变负荷能力方面的优越性。

关键词(KeyWords)： 直流炉供热机组;电热协调;快速变负荷;热负荷补偿;时变模型预测控制

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 张小科,韩崇尚,郝倚燃,王建波,张少锋,胡怀中

DOI: 10.19666/j.rlfd.202407171

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