Modeling And Stability Analysis Of Smart Microgrid With Uncertainty

The global energy crisis and environmental pollution problems are intensifying,forcing people to look for greener and cleaner energy sources to replace traditional energy generation.Renewable energy power generation is favored by people because of its low power generation cost and environmental protection.In this context,the smart microgrid system,which mainly supplies power from wind power and photovoltaic power,has developed into an important research directions in the field of power systems by virtue of its own reliability and flexibility.However,wind power,photovoltaic and other renewable energy power generation are affected by environmental factors and have uncertain characteristics with volatility and intermittentness.Therefore,they bring new challenges to the smart microgrid operation planning.This paper takes smart microgrid as the research object,and analyzes its operation control and system stability.The main contents are as follows:Firstly,we analyzed the development trends and main problems of smart microgrid technology from the current research status at home and abroad.According to the characteristics of distributed power generation system,this paper gives the characteristics of distributed power generation systems and the topology of off-grid photovoltaic power generation systems.The core mathematical components of photovoltaic cells and wind energy doubly-fed induction generators are established.Futhermore,we analyzed the impact of photovoltaic and wind power uncertainties on the system combined with its operating characteristics.Secondly,A simple and effective control strategy to control the smart microgrid system with uncertainty.Based on the model of smart microgrid system with uncertainty,The Kalman filter algorithm is used to solve the discrete algebraic Riccati equation,and the state vectors of the system are estimated by synchronous recursion to achieve coordinated control of the smart microgrid system with uncertainty,which improves the effect of system with uncertainty,so that the system maintains good performance and achieves load disturbance suppression.Then the validity of the controller is verified by a simulation model established by Matlab / Simulink.Next,this thesis mainly analyzed the stability problem of the smart microgrid system that includes both system uncertainty and network packet loss.In this part,the entire smart microgrid system control process and network packet loss behavior are modeled as a hybrid NCSS and gave the overall framework structure of the NCSS closed-loop system,we modeled data packet loss during network transmission as a random process,and used an independent Bernoulli process to simulate the state of packet loss in order to analyze the NCSS stability including network factors.The validity and applicability of the proposed method are verified by the established simulation model based on Matlab / Simulink.Finally,according to the content of the work done in this paper,we will give a corresponding summary and make corresponding prospects for the future research directions.