Predictive Control of Superheated Steam Temperature of Molten Salt Heat Storage System

Abstract

With the development of the economy, the demand for energy in factories is increasing, and the demand for the development of electric power industry is also increasing. Higher requirements for various capabilities and targets in the process of generating electricity are put forward. As a result, the capacity of the unit becomes larger and larger, the controlled object becomes more and more complex, and the control of the superheated steam temperature in the power plant is more and more difficult to meet. In order to overcome the control problems such as non-linearity, large inertia, large parameter change, and large operating condition change, the process principle of heat exchanger system in the energy storage system is studied, and a multi-model predictive control algorithm is proposed. The control problem of the nonlinear industrial system is solved. The simulation results show that the method can suppress the superheated steam temperature fluctuation and reduce the dynamic error and steady-state error of the superheated steam temperature.