Virtual synchronous generator control method based on model predictive control

Abstract

The invention relates to a virtual synchronous generator control method based on model predictive control. The method comprises the following steps of: acquiring current and voltage of a system in real time, generating reference current by using the virtual synchronous generator control method, establishing a predictive optimization model, acquiring a predicted current value from the predictive optimization model, sending the predicted current value and the reference current into a target function, selecting a prediction value which minimizes the target function, and allowing a corresponding optimal switching sequence to directly act on the inverter. According to the invention, under the condition that the power of a power grid suddenly changes, power fluctuation is properly reduced, and the transient process of the system is optimized; the virtual synchronous generator technology is combined with model prediction control, so effective control over a three-phase inverter is achieved, parameter setting is reduced, a control structure is optimized, and the method plays an important role in providing inertia support for a power grid; and the method is suitable for grid-connected systems of new energy such as solar power generation and wind power, and can be promoted as control methods for other single-phase or three-phase grid-connected inverters.

Description

technical field [0001] The invention relates to a micro-grid control technology, in particular to a virtual synchronous generator control method based on model predictive control. Background technique [0002] Under the influence of global environmental pollution and energy crisis, distributed power generation with the theme of renewable energy has been relatively widely used. Distributed generation can realize the comprehensive cascade utilization of energy and make up for the lack of stability of the large power grid, but it has disadvantages such as uncontrollable and random fluctuations. [0003] Microgrid control technology can effectively solve the shortcomings of distributed generation, so it has received extensive attention from scholars at home and abroad. With the high penetration of large-scale renewable energy into the grid, the requirements for grid-connected inverter capacity, cost, efficiency and reliability are relatively high. [0004] Because model predic...

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Problems solved by technology

[0006] Aiming at the problem of power distribution stability in existing distributed generation systems, a virtual synchronous generator control method based on model predictive control is proposed. By collecting physical quantities such as system current and voltage in real time, the reference current is generated using the virtual synchronous generator control method. And establish a prediction optimization model, get the current prediction value from the prediction optimization model, send the current prediction value and reference current into the objective function, select the prediction value that minimizes the objective function, and the corresponding optimal switching sequence directly acts on the inverter in the device

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