1. 华北电力大学自动化系
2. 新能源电力系统全国重点实验室(华北电力大学)
纸质出版:2026
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邓拓宇, 赵保森. 适用于高速率变负荷的事件驱动协调控制系统[J]. 热力发电, 2026,(7).
邓拓宇, 赵保森. 适用于高速率变负荷的事件驱动协调控制系统[J]. Thermal Power Generation, 2026, (7).
邓拓宇, 赵保森. 适用于高速率变负荷的事件驱动协调控制系统[J]. 热力发电, 2026,(7). DOI: 10.19666/j.rlfd.202512053.
邓拓宇, 赵保森. 适用于高速率变负荷的事件驱动协调控制系统[J]. Thermal Power Generation, 2026, (7). DOI: 10.19666/j.rlfd.202512053.
【目的】“新一代煤电升级改造专项行动”对火电机组变负荷速率提出更高要求,使得机组响应的快速性与自身的安全稳定性间的矛盾愈发突出。从传统控制理论来看,锅炉侧对象具有大惯性、大迟延特性,要求全程稳定,则必然牺牲响应速度;若要缩短调节时间,将带来燃料量的大幅度振荡。即基于传统稳定性设计的系统难以调和稳定性与快速性之间的根本矛盾。为此,引入一种有限时间稳定性,允许动态过程存在短暂失稳,以提升快速性,同时确保系统在指定时间内收敛至稳定状态。有限时间稳定性大大降低了传统稳定性分析方法的保守性,留有更多宽裕度用于提升系统响应速度。【方法】在此理论基础上,提出一种适应高速率变负荷的事件驱动协调控制方法。首先,推导出含有自动发电控制(automatic generation control
AGC)指令扰动和压力定值扰动的协调控制系统状态空间模型;其次,在原等效模型为下层的基础上设计一种事件驱动的双层协调控制系统结构,上层负责事件驱动系统的决策;最后,在有限稳定性裕度内采用鲁棒设计方法得到基于切换系统的事件驱动条件。【结果结论】仿真结果表明,该方法在3%Pe/min变负荷速率下,机前压力偏差小于0.3 MPa,燃料量的波动小于15%,在高速率变负荷的工况下具有较好的调节效果。
[Objective] The “New Generation Coal Power Upgrade Special Action Plan” imposes increasingly stringent requirements on the load change rate of thermal power generating units
thereby intensifying the inherent contradiction between rapid load response and the safety and stability constraints of the unit itself. In power systems with high penetration of renewable energy
coal-fired units are required to perform frequent and high-rate load adjustments to maintain grid balance and frequency stability. However
from the perspective of traditional control theory
the furnace side of a thermal power unit exhibits pronounced characteristics of large inertia
significant time delay
strong nonlinearity
and multivariable coupling. These intrinsic dynamic properties fundamentally limit achievable control performance and bandwidth. If strict asymptotic stability is enforced throughout the entire transient process
controller design must prioritize monotonic convergence
inevitably sacrificing response speed; conversely
aggressively shortening the regulation time tends to induce substantial oscillations in fuel flow and main steam pressure
which may undermine operational safety and accelerate mechanical wear. Consequently
control strategies developed under conventional Lyapunov stability theory struggle to reconcile the essential trade-off between stability and rapidity. To address this challenge
the concept of finite-time stability is introduced into the coordinated control framework of thermal power units. Unlike classical stability notions that require trajectories to converge asymptotically and monotonically
finite-time stability allows for controlled transient deviations and brief instability during the dynamic evolution
provided that the system states converge to a desired equilibrium within a prescribed finite time interval. This relaxation significantly reduces the conservatism inherent in traditional stability analysis and enlarges the feasible design region for performance optimization
thereby providing greater flexibility for enhancing dynamic response while preserving overall convergence guarantees. [Methods] Building upon this theoretical foundation
an event-driven coordinated control method suitable for high-rate load variations is proposed. First
the multivariable nonlinear control object is simplified into an equivalent model incorporating aggregated disturbances to facilitate controller synthesis and robustness evaluation. Second
a dual-layer eventdriven coordinated control architecture is constructed
comprising a supervisory coordination layer and a lowerlevel regulation layer responsible for actuator implementation. Finally
within a constrained stability margin
a robust design methodology is employed to derive explicit event-triggering conditions that balance performance improvement and stability assurance. [Results and Conclusion] Simulation results demonstrate that under load disturbances at a rate of 3% of rated load per minute
the proposed approach limits throttle pressure deviation to less than 0.3 MPa and fuel flow fluctuations less than 15%
thereby verifying its effectiveness
robustness
and practical applicability in flexible operation scenarios.
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