Application Of Model Predictive Control In Automatic Generation Control Of Renewable Power System

With the depletion of fossil energy and the continuous deterioration of the environment,replacing traditional energy output with new energy generation has become the development direction of power system.Wind power generation and photovoltaic power generation have become the most concerned new energy generation mode.The power generation of new energy has the characteristics of high volatility and uncertainty.Automatic power generation control with the integration of new energy generation has become an important subject.In this paper,the automatic generation control of wind power generation and photovoltaic generation in power grid is studied.The mathematical models of wind power generation and photovoltaic power generation system are established.Two different state space models are established on whether new energy generation is involved in system regulation.In the first model,as system disturbance,the output fluctuation of wind power generation and photovoltaic power generation are regarded as system load fluctuation.The new energy generation variation can be handled by adjusting the output of thermal power plants.The second is that new energy participates in the automatic generation control,and regulate the system with thermal power units when load fluctuations or environmental changes occur.Distributed model predictive control is used to design the controller.In the second model,two objective functions are proposed for different environmental conditions.When the wind speed is lower than the rated wind speed,the new energy output is as close as possible to the maximum value under the condition of ensuring the stability of the area control error;when the wind speed is higher than the rated wind speed,the wind power output is as close as possible to the rated value and the photovoltaic power generation is as close as possible to the maximum value under the condition that the regional control error is zero.Nonlinear links exist in thermal,wind and photovoltaic power systems,which are transformed into system constraints.Quadratic programming is used to solve constrained optimization problems,and the optimal solution of time is obtained through information exchange and iteration between different areas.Based on the two models,the simulation analyses are carried out.The simulation results show that the proposed control algorithm has great control effect,and guarantees the stability and economy of the power system.It lays a theoretical foundation for the application in the actual power system.