Abstract
The complex characteristics of the gas turbine in a combined cycle unit have brought great difficulties in its control process. Meanwhile, the increasing emphasis on the efficiency, safety, and cleanliness of the power generation process also makes it significantly important to put forward advanced control strategies to satisfy the desired control demands of the gas turbine system. Therefore, aiming at higher control performance of the gas turbine in the gas-steam combined cycle process, a novel fuzzy model predictive control (FMPC) strategy based on the fuzzy selection mechanism and simultaneous heat transfer search (SHTS) algorithm is presented in this paper. The objective function of rolling optimization in this novel FMPC consists of two parts which represent the state optimization and output optimization. In the weight coefficient selection of those two parts, the fuzzy selection mechanism is introduced to overcome the uncertainties existing in the system. Furthermore, on account of the rapidity of the control process, the SHTS algorithm is used to solve the optimization problem rather than the traditional quadratic programming method. The validity of the proposed method is confirmed through simulation experiments of the gas turbine in a combined power plant. The simulation results demonstrate the remarkable superiorities of the adopted algorithm with higher control precision and stronger disturbance rejection ability as well as less optimization time.
Highlights
At present, thermal power generation still occupies the leading position in the power generation industry in China [1, 2]
The combined cycle unit which consists of the gas turbine, heat recovery boiler, and steam turbine [5] is one of the maturely developed power generation devices using natural gas
The cyan solid lines, green solid lines, and red solid lines present the responses of variables controlled by the fuzzy model predictive control (FMPC) which are combined with particle swarm optimization (PSO), grey wolf optimization (GWO), and simultaneous heat transfer search (SHTS), respectively
Summary
Thermal power generation still occupies the leading position in the power generation industry in China [1, 2]. The precision of the control process has great promotion (ii) Based on the FMPC algorithm described in (i), a HSTS method which takes variable constraints into account is adopted to replace the quadratic programming solving process in rolling optimization of the traditional MPC algorithm. This replacement can decrease the optimization time of the control system to a certain extent (iii) The presented algorithm is firstly applied in the control of the gas turbine in a combined cycle unit.
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