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Micro-grid inversion control method and system based on segmented model predictive control strategy

A predictive control and segmented model technology, applied in the direction of irreversible DC power input conversion to AC power output, electrical components, single-network parallel feeding arrangement, etc., can solve the problems of poor control performance and low prediction accuracy, and achieve Effects of high power quality, improved overall dynamic and steady state performance

Pending Publication Date: 2022-07-29
STATE GRID HUNAN ELECTRIC POWER +2
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Problems solved by technology

[0006] The invention provides a micro-grid inverter control method and system based on a segmented model predictive control strategy, which is used to solve the technical problems of low prediction accuracy and poor control performance of traditional single-step model predictive controllers in the application of micro-grid inverter control

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  • Micro-grid inversion control method and system based on segmented model predictive control strategy
  • Micro-grid inversion control method and system based on segmented model predictive control strategy
  • Micro-grid inversion control method and system based on segmented model predictive control strategy

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Embodiment 1

[0040] This implementation discloses a microgrid inverter control method based on a segmented model predictive control strategy, including the following steps:

[0041] will control the period T saveragely divided into n segments, with T s / n is the prediction step size, construction: take the dq-axis voltage and dq-axis current on the AC side of the microgrid as the initial state value, take the output voltage vector of the microgrid inverter as the input, and take the microgrid’s next prediction step size as the initial value. A segmented predicted current model whose predicted state is output;

[0042] Obtain the dq-axis voltage and dq-axis current on the AC side of the microgrid, and use the dq-axis voltage and dq-axis current as initial state values, and sequentially use multiple candidate voltage vectors that can be output by the inverter as the output of the inverter The voltage is input into the segmented predicted current model, and predicted states corresponding to...

Embodiment 2

[0047] The second embodiment is a preferred embodiment of the first embodiment. The difference from the first embodiment is that the specific steps of the microgrid inverter control method based on the segmented model predictive control strategy are introduced, which specifically includes the following steps:

[0048] In the application of microgrid inverter control, the constant voltage and frequency control method can eliminate the steady-state error of voltage and frequency, and ensure that the microgrid has high power quality. However, the traditional constant voltage and frequency control scheme based on PI controller has the disadvantage of complicated parameter correction, and the use of model predictive controller can reduce the complexity of parameter correction. The traditional model predictive control method calculates the future state with an integer multiple of the control period as the prediction step, but for the microgrid, the system power and operating current ...

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Abstract

The invention discloses a micro-grid inversion control method and system based on a segmented model prediction control strategy, and the method comprises the steps: averagely dividing a control period Ts into n segments, taking Ts / n as a prediction step length, and constructing a segmented prediction current model; the dq-axis voltage and the dq-axis current of the alternating current side of the micro-grid are obtained and serve as state initial values, a plurality of to-be-selected voltage vectors capable of being output by an inverter serve as output voltages of the inverter in sequence and are input into the segmented prediction current model, and prediction states corresponding to the plurality of to-be-selected voltage vectors are obtained through prediction; and constructing a cost function, sequentially inputting the prediction states corresponding to the plurality of to-be-selected voltage vectors into the cost function, and comparing and selecting the to-be-selected voltage vector with the minimum cost function value as the optimal control voltage. The problem that the prediction precision is reduced due to the fact that the control period is too long when a model prediction control algorithm is applied to micro-grid inversion control is solved.

Description

technical field [0001] The invention relates to the field of microgrid inverter control, in particular to a microgrid inverter control method and system based on a segmented model predictive control strategy. Background technique [0002] In order to solve the problems of environmental pollution and energy shortage caused by the large-scale use of fossil energy, the development and application of new energy such as solar energy, wind energy, tidal energy and geothermal energy are current research hotspots. The utilization of new energy requires the use of power generation equipment to convert it into electrical energy, which forms a micro-grid system with energy storage equipment and local loads, and can provide energy support to the large power grid through grid-connected technology. On the power generation side of the microgrid, in order to ensure the power quality, it is first necessary to convert the output voltage of the power generation equipment into a constant bus vo...

Claims

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Application Information

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IPC IPC(8): H02J3/38H02M7/48H02M7/493
CPCH02J3/38H02M7/48H02M7/493
Inventor 唐海国周可慧朱吉然张帝周恒逸赵邈齐飞段绪金莫文慧彭思敏贺思林韩耀飞公超
Owner STATE GRID HUNAN ELECTRIC POWER
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