Island microgrid hierarchical control strategy based on event triggering mechanism

Abstract

The invention discloses an island microgrid hierarchical control strategy based on an event triggering mechanism. According to the control strategy, a primary control model dominated by droop controlis established and is responsible for reasonably distributing active power and reactive power; and the problem of voltage and frequency deviation is solved. A control strategy based on centralized event triggering is designed; an auxiliary centralized controller is used for generating a DG synchronous trigger signal to update control input; on the basis, a voltage control strategy based on distributed event triggering is designed and popularized to frequency and active power control, each DG generates asynchronous triggering signals through a local controller of the DG to update respective control input, and complete distributed event triggering control is achieved. Compared with a traditional control strategy, invalid sampling signals are reduced, the economical efficiency of system operation is improved, and meanwhile the degree of dependence of secondary control on a communication network is reduced.

Description

technical field [0001] The invention relates to the technical field of micro-grid control, in particular to a hierarchical control strategy for island micro-grids based on an event-triggered mechanism. Background technique [0002] Due to the large randomness, volatility and intermittent nature of clean renewable energy generation and transmission, it is also very difficult to control, which poses a huge challenge to large-scale utilization and integration into the main grid. Compared with traditional power generation, distributed generation (DistributedGeneration, DG) can not only use traditional fossil fuels, but also use renewable energy such as wind energy, solar energy, and biomass energy, and convert them into green and clean electricity that can be connected to the main grid or directly to the user. Since the DG is closer to the user, the line loss caused by the traditional centralized power transmission mode is reduced, the investment in power transmission and trans...

AI Technical Summary

Problems solved by technology

However, in practical engineering applications, when the system is running in a steady state (reaching consistency), or if the size of the data between two consecutive sampling periods of the system is not much different, if the traditional fixed sampling Sampling the system state at a high frequency will result in an excessive amount of sampled data, which not only increases the computational burden of the processor, but also easily causes communication channel congestion

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