[HTML][HTML] Machine learning and data-driven techniques for the control of smart power generation systems: An uncertainty handling perspective

L Sun, F You - Engineering, 2021 - Elsevier
Due to growing concerns regarding climate change and environmental protection, smart
power generation has become essential for the economical and safe operation of both …

Steam power plant configuration, design, and control

X Wu, J Shen, Y Li, KY Lee - Wiley Interdisciplinary Reviews …, 2015 - Wiley Online Library
This article provides an overview of fossil‐fuel power plant (FFPP) configuration, design and
especially, the control technology, both the conventional and the advanced technologies …

Multi-objective optimization for advanced superheater steam temperature control in a 300 MW power plant

L Sun, Q Hua, J Shen, Y Xue, D Li, KY Lee - Applied energy, 2017 - Elsevier
Control of superheater steam temperature (SST) is critical for the safety and efficiency of the
coal-fired power plant. However, the conventional cascaded PI controller is faced with great …

Data-driven modeling and predictive control for boiler–turbine unit using fuzzy clustering and subspace methods

X Wu, J Shen, Y Li, KY Lee - ISA transactions, 2014 - Elsevier
This paper develops a novel data-driven fuzzy modeling strategy and predictive controller
for boiler–turbine unit using fuzzy clustering and subspace identification (SID) methods. To …

Robust & nonlinear control of an ultra-supercritical coal fired once-through boiler-turbine unit in order to optimize the uncertain problem

M Esmaeili, H Moradi - Energy, 2023 - Elsevier
The ultra-supercritical once-through boiler (OTB) unit is an advanced power generation
technology with high plant efficiency and low emissions. However, it is difficult to realize a …

Data-driven modeling and predictive control for boiler–turbine unit

X Wu, J Shen, Y Li, KY Lee - IEEE Transactions on Energy …, 2013 - ieeexplore.ieee.org
This paper develops a novel data-driven modeling strategy and predictive controller for
boiler-turbine unit using subspace identification and multimodel method. To deal with the …

Prediction of superheated steam temperature for thermal power plants using a novel integrated method based on the hybrid model and attention mechanism

P Wang, F Si, Y Cao, Z Shao, S Ren - Applied Thermal Engineering, 2022 - Elsevier
The stability of superheated steam temperature (SST) is severely challenged by the
adjustment of thermal power plants under a wide-load range. Accurate and efficient …

Fuzzy modeling and predictive control of superheater steam temperature for power plant

X Wu, J Shen, Y Li, KY Lee - ISA transactions, 2015 - Elsevier
This paper develops a stable fuzzy model predictive controller (SFMPC) to solve the
superheater steam temperature (SST) control problem in a power plant. First, a data-driven …

Fuzzy modeling and stable model predictive tracking control of large-scale power plants

X Wu, J Shen, Y Li, KY Lee - Journal of Process Control, 2014 - Elsevier
This paper develops a stable model predictive tracking controller (SMPTC) for coordinated
control of a large-scale power plant. First, a Takagi–Sugeno (TS) fuzzy model is established …

An improved coordinated control technology for coal-fired boiler-turbine plant based on flexible steam extraction system

Y Zhou, D Wang - Applied Thermal Engineering, 2017 - Elsevier
Coordinated control system (CCS) used in thermal power unit can quickly coordinate energy
balance between the plant boiler and steam turbine, and follow the load commands. The …