Distributed Economic Model Predictive Control And Its Application In Renewable Energy Power System

The main purpose of electric power system control and operations is to ensure the quality of power supply and reliability.A key measure that contributes to this purpose is load frequency control.As an important means of ensuring the quality of power supply,LFC can also guarantee the safety and economic operation of power systems.Due to the growing size of modern power systems and complex networks,LFC has become a pressing issue that deserves more in-depth exploration.Nowadays,population growth and social development are increasing the energy demand.In addition,climate change and environmental pollution caused by the burning of traditional fossil fuels are worsening.Therefore,in order to transition to a green and clean energy system,many renewable energy generation methods have been developed.As a kind of clean energy with a wide perspective of development,wind energy accounts for a considerable proportion of the installed renewable energy capacity.In this paper,we focus on the LFC issue of the multi-area interconnected power system with wind power integration and carry out research based on economic model predictive control,which is of great significance and economic value for modern power system operations and control.The main work of this paper can be summarized as follows:(1)This paper introduces the research status on different approaches to solving the LFC problem.The mathematical model of the multi-area LFC system with wind power integration is established.Furthermore,the control constraints including governor valve position and wind turbine input limits are introduced.(2)In order to solve the LFC problem with input constraints,an EMPC control method is designed that takes the economic performance of the LFC system into account.In the proposed strategy,an auxiliary positive definite function at economy steady-state points is constructed,which is used to design an adjustable stability constraint for the EMPC open-loop optimization problem.The stability of the closed-loop system is achieved by using the terminal constraint set,the terminal cost function,and the local controller.The simulation results show the effectiveness of this strategy.(3)In this paper,we propose a two-mode DEMPC control scheme,which is used to solve the heavy computational burden of large-scale power systems.This approach directly optimizes the stage cost function,which is constructed from the load frequency regulation cost,fuel consumption cost,and wind power generation cost during the process of LFC.This algorithm introduces a robustness constraint to the local optimization problem,the feasibility and closed-loop stability of the LFC system can be ensured by appropriately selecting parameters under given conditions.Simulation results are provided to show the effectiveness of the proposed dual-mode DEMPC approach in terms of computational efficiency and economic performance.