Multi-distributed Power Supply Grid Connection Risk Factor Evaluation And Control

At present,along with the rapid development of distributed energy,wind power,photovoltaic solar power generation capacity continues to grow rapidly,the new energy output ratio of power grid in some areas is greatly increased.The energy structure is more and more diversified.In order to improve the efficiency of energy,countries have begun to make research and exploration in the smart grid.As the direction of future power development,the development of micro-multi-network will be the key.The addition of micro-grid has injected new vitality into the power system,but at the same time,more and higher degree of uncertainty has a great influence on the power system,such as the wide development of the dynamic response on the user side,the distributed energy with high permeability and the space-time access of the storage system and the DC system power regulation in the DC system.These uncertain factors contribute to the power system economy,security planning and operation risk sources,not only increase the economic risk of the network operation,but also affect the distribution of power flow,voltage stability.In order to reduce the adverse influence of uncertain factors on the power grid,this paper starts from random forest integration algorithm and virtual synchronous generator control strategy,evaluates the risk factors and inverter control.This paper proposes an effective and economical risk factor assessment method,and comprehensively analyzes the main risk factors faced in the process,and studies the control methods of distributed power grid-connected operation.The work done in this paper is as follows.The paper analyzes the risk factors in the operation of multi-micro power grid,including distributed power supply force,load fluctuation,component failure rate,node quote parameters,etc.,aiming at the problem of information acquisition system's `excess,but lack of information',and the status of representative risk factors model,from the integrated forest algorithm,the multi-group detection points of multi-network(multi-network)to find out the multi-group anomaly detection points,the risk factor of risk factor,the most risk factor,the most risk factor,and the most risk factor of evaluating the on-dimensional factor of the on-line.Faced with the many uncertain factors in the operation of the multi-net system,the safety index system is analyzed on-line,and the probabilistic statistics method is used to deduce its value risk probability.Taking into account its operation mode,environment risk factors,fault type and failure rate,manage its estimates by risk probability distribution,rely on the data sources of different expert opinion and system analysis,analyze the distribution and importance of various risk factors,and improve the risk assessment comprehensively by example.In order to study the adaptability of multi-micronet to complex working conditions,the control strategy of multi-micro-grid inverter is studied.The control strategy of the virtual synchronous generator is mainly aimed at,including the construction of the control model,the setting of control parameters,the improved reactive current detection method,and the study of active fm and reactive voltage during its operation.Finally,it is simulated and verified experimentally.