Probability-based robust optimal PI control for shell gasifier in IGCC power plants

Abstract

In order to achieve a robust control performance of the gasifier which has dynamic characteristics of multi-variable coupling, large inertia and multi-disturbance, an optimization method for decentralized PID/PI controller parameters based on probabilistic robustness is developed. First, the control structure and target of the Shell gasifier is analyzed and a crude model is introduced. Model uncertainties and other detailed industrial requirements could be considered at the same time in the method. The probability of satisfaction with the dynamic performance is computed statistically, and then it is presented as the objective function to optimize the controller parameters based on genetic algorithm. The Monte Carlo experiment was applied to test the robustness of the control system. In comparison with the tuning methods based on internal model control (IMC) and the optimization algorithm under the nominal model, simulation results show the method could exploit the potentialities of PID/PI controllers in a maximal probability.

A novel design of active disturbance rejection controller and its application in the Circulating Fluidized Bed Boiler combustion system

“…Monte Carlo (MC) methods are stochastic techniques, means that they are based on the use of random numbers and probability statistics to investigate problems [24] . In this process, the CFBB combustion system parameters are varying from -10% to 10% of their nominal values, produce a sample size of 500 family of controlled object.…”

Load Frequency Control of Photovoltaic-Gasifier for Interconnected Two-Area Power Systems

“…For small load, they tackle the change in load demand without changing in frequency for load frequency control system with demand-side control through the smart meter [4][5][6][7][8]. But small DG with gasifier plant was found to be effective in automatic shaking mechanism reducing the tar [9], adaptive predictive control for adjustment of oxygen concentration in syngas [10], performance control are done when the gasifier is unstable, robust optimal control for shell gasifier in LFC power plants [11][12][13][14][15][16], and solar farm was found controls technique battery storage [17], energy management unit and integrated control of photovoltaic (PV) solar farm [18][19][20], and PV solar farms feed active power during day time and become inactive in the night time [21][22]. Both, LFC systems help to reduce the demand for transmission by overcoming local and tie-line stability when control design appropriate for interconnected power systems [23][24].…”