Event trigger control method of nonlinear multi-machine power system

Abstract

The invention provides an event trigger control method of a nonlinear multi-machine power system. The event trigger control method comprises the following steps: establishing a nonlinear multi-machinepower system kinetic equation; establishing a fuzzy state model of the multi-machine power system by utilizing If-ven modeling rules; further obtaining a global fuzzy state model of the multi-machinepower system; constructing a fuzzy event trigger controller; defining an event triggering form and a triggering condition; and adopting a fuzzy event trigger controller to carry out multi-machine power system event trigger control. According to the method, the high-performance event trigger control target of the multi-machine power system can be achieved, the high safety and high reliability of power grid operation are met, the requirement of the control method for the information sampling technology is lowered, the frequency of system sampling is reduced, and the reliability and high efficiency of the multi-machine power system are improved.

Description

technical field [0001] The invention relates to the technical field of smart grids, in particular to an event-triggered control method for a nonlinear multi-machine power system. Background technique [0002] The stable and reliable operation of the power system is the premise to ensure the transmission and use of electric energy. In reality, most power systems are often subjected to various random disturbances during operation, and distributed clean energy is affected by external factors such as weather and the environment. The impact of factors is large, with great volatility, randomness, and intermittency. When a large amount of distributed clean energy is incorporated into the power system, it will have a certain impact on the stability of the power grid. In addition, for the power system, electric vehicles are charging It can be regarded as a load when it is running, and it can be regarded as a distributed power supply when it is running. Therefore, when electric vehicl...

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Problems solved by technology

[0002] The stable and reliable operation of the power system is the premise to ensure the transmission and use of electric energy. In reality, most power systems are often subjected to various random disturbances during operation, and distributed clean energy is affected by external factors such as weather and the environment. The impact of factors is large, with great volatility, randomness, and intermittency. When a large amount of distributed clean energy is incorporated into the power system, it will have a certain impact on the stability of the power grid. In addition, for the power system, electric vehicles are charging It can be regarded as a load when it is running, and it can be regarded as a distributed power supply when it is running. Therefore, when electric vehicles are charged on a large scale in a centralized manner, the power consumption at the load end of the power system will increase sharply. Charging will lead to "peak on top of peak", which is extremely detrimental to the stability of the power system. Therefore, the grid connection of large-scale distributed clean energy and the centralized charging of a large number of electric vehicles will have a serious impact on the stability of the power system, so there is an urgent need for a A control method that can effectively improve the stability of the power system when distributed clean energy is connected to the grid and large-scale electric vehicle charging

[0003] In the current smart grid construction, there are many distributed micro-grids, and the bandwidth of the communication network is limited. In practical engineering applications, the information of each distributed micro-grid is usually sampled and sent at a high frequency to achieve the design of the controller. The requirements for continuous information transmission in the middle of the country, for more and more distributed microgrids, this overly traditional time-period information collection method will increase the pressure on network communication, resulting in communication time lag and packet loss, and ultimately lead to control tasks The failure of the system seriously affects the stability and security of the distributed microgrid and the main grid. Today, event-triggered sampling has been applied in many technical fields such as electronics, communication, and automation. Compared with traditional event-period sampling, event-triggered sampling can reduce the sampling frequency and To reduce the number of control tasks to execute, it will be very meaningful to apply event-triggered sampling to nonlinear multi-machine power systems

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