Multivariable constrained predictive control of main steam temperature in ultra-supercritical coal-fired power unit

Wang, Guoliang; Wan, Yan; Chen, Shihe; Zhang, Xi; Shao, Hu

doi:10.1016/j.joei.2014.06.003

Cited by 21 publications

(8 citation statements)

References 6 publications

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“…𝑦 𝑟 (𝑘 + 𝑖) = 𝛼 𝑖 𝑦(𝑘) + (1 − 𝛼 𝑖 )𝑤 𝑟 , 𝑖 = 1,2, ⋯ , 𝑃 (7) where 𝑦(𝑘) is the actual output of the system at the current period, 𝑤 𝑟 is the set value, and 𝛼 is the softening factor (0<𝛼<1).…”

Section: Pso -Based Optimal Control Solutionmentioning

confidence: 99%

“…A nonlinear prediction model can be designed under the framework of MPC to improve the unit's variable load adaptability. An ANN model was established to forecast the future output value of the system in the process control of power generation in previous studies [7,8] . Consequently, the optimal control law was obtained by feedback correction and rolling optimization to minimize the predictive output and actual value.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An LSTM-PSO-Based Predictive Strategy and Its Application in the Main Steam Temperature Control in Power Plants

Jin,

Hao,

Yin

et al. 2023

J. Phys.: Conf. Ser.

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We proposed an LSTM-PSO predictive controller strategy to overcome the large delay and strong disturbance during main steam temperature control. First, the long short-term memory (LSTM) network model was developed to forecast the future trend of mainstream temperature, and the deviation between the model output and the expected value after feedback correction was minimized by the particle swarm optimization (PSO) algorithm. Then, the LSTM-PSO predictive controller was taken as the primary controller to maintain the steam temperature of the coal-fired boiler. A comparative simulation with conventional PID cascade control and dynamic matrix controller strategies was given, and the test calculations indicate that the adjustment time was shortened and the overshoot was reduced. Finally, the LSTM – PSO predictive control strategy was deployed into the actual boiler operation process of a 300 MW coal-fired power plant, within 0.5 °C steady-state error and 2 °C dynamic error.

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Section: Pso -Based Optimal Control Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An LSTM-PSO-Based Predictive Strategy and Its Application in the Main Steam Temperature Control in Power Plants

Jin,

Hao,

Yin

et al. 2023

J. Phys.: Conf. Ser.

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“…Although Wang et al . proposed a predictive type of controller with attemperators at different level to achieve fast response but modern design usually eliminate the attemperators and thus this type of control philosophy . Only one level attemperator is used in this model with no thermal stratification.…”

Section: Modelmentioning

confidence: 99%

Comprehensive dynamic modeling, simulation, and validation for an industrial boiler incident investigation

Taimoor

Alghamdi

Farooqi

et al. 2019

Process Safety Progress

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Industrial boilers simulation can serve number of purposes like training, optimization, HAZOP studies, and incident investigation. Simulation including trip logics, interlockings, safety devices, start‐up and shutdown procedure is presented in this work. Simulation is directly accomplished in dynamic mode to benefit from the holdup approach to avoid anomalies because of recycling. The industrial DCS/PLC diagrams are replicated to imitate the boiler‐integrated behavior. Trip logics, start‐up and shutdown procedures are programmed using event scheduler. The inbuilt pressure relief module validates the simulated PSVs and rupture disc capacities. The model is then verified at three stages including ‘steady state’ achievement in dynamic mode, controller validation by start‐up and shut down procedures and finally by direct industrial data under deviant conditions. Where an unfortunate event is a concern, it also provides an opportunity to ponder and to evolve at various levels. Operational simulation of any such incident may help in getting a deep insight and thus to take accurate countermeasures. One such attempt is done in this work. A boiler accident has been reported. The complete response of the controllers and interlockings/trip system is imitated. The obtained results were compared with the chain of events that took place. © 2019 American Institute of Chemical Engineers Process Saf Prog: e12040 2019

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“…Standard subcritical power plants operating with live steam temperatures of up to 550 • C and pressures within the range between 16 and 17 MPa have allowed for electricity conversion with an efficiency of 38% [1], while the introduction of supercritical conditions, a steam temperature of 600 • C and a pressure of [22][23][24] MPa has allowed an increase in the PP efficiency up to 45% [2]. The further development of such technology towards even greater ultra-supercritical conditions, with steam temperatures of up to 650 • C and pressures even higher than 26 MPa have allowed the generation of electricity with an efficiency approaching 50% [3,4].…”

Section: Introductionmentioning

confidence: 99%

Power Plant Optimisation—Effective Use of the Nelder-Mead Approach

et al. 2020

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This paper demonstrates the use of a combined software package including IPSEpro and MATLAB in the optimisation of a modern thermal cycle. A 900 MW power plant unit (operating at ultra-supercritical conditions) was considered as the study object. The Nelder-Mead simplex-based, direct search method was used to increase power plant efficiency and to find the optimal thermal cycle configuration. As the literature reveals, the Nelder-Mead approach is very sensitive to the simplex size and to the choice of method coefficients, i.e., reflection, expansion and contraction. When these coefficients are improperly chosen, the finding of the optimal solution cannot be guaranteed, particularly in such complex systems as thermal cycles. Hence, the main goal of the present work was to demonstrate the capability of an integrated software package including IPSEpro, MATLAB and MS Excel in the optimisation process of a complex thermal cycle, as well as to examine the effectiveness of the most popular sets of Nelder-Mead coefficients previously proposed by other researchers. For the investigation purposes, the bleed and outlet pressures from the turbines were considered as decision variables, and the power plant efficiency was used as an objective function.

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Multivariable constrained predictive control of main steam temperature in ultra-supercritical coal-fired power unit

Cited by 21 publications

References 6 publications

An LSTM-PSO-Based Predictive Strategy and Its Application in the Main Steam Temperature Control in Power Plants

An LSTM-PSO-Based Predictive Strategy and Its Application in the Main Steam Temperature Control in Power Plants

Comprehensive dynamic modeling, simulation, and validation for an industrial boiler incident investigation

Power Plant Optimisation—Effective Use of the Nelder-Mead Approach

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