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Hybrid energy storage control strategy based on model prediction

A technology of hybrid energy storage and model prediction, which is applied in the field of hybrid energy storage control and hybrid energy storage system DC/DC converter control, can solve problems such as poor robustness, long dynamic adjustment time, and high-power debugging storage risks. Achieve fast tracking and reduce fluctuation time

Inactive Publication Date: 2019-06-18
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Description
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AI Technical Summary

Problems solved by technology

The energy storage converter control strategy based on PI control plays a positive role in the coordinated control of DC microgrid, but PI control naturally has some shortcomings: long dynamic adjustment time, poor robustness, difficult controller parameter design, on-site Risks associated with high-power debugging

Method used

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  • Hybrid energy storage control strategy based on model prediction
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  • Hybrid energy storage control strategy based on model prediction

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Embodiment Construction

[0015] Embodiments of the patent of the present invention are described in detail below in conjunction with the accompanying drawings.

[0016] Such as figure 1 As shown, a structure model of photovoltaic microgrid with hybrid energy storage is built. The hybrid energy storage module and the photovoltaic power generation module are connected to the DC bus through the DC / DC converter, and then connected to the AC grid through the DC / AC inverter. The present invention adopts a model predictive control method for the control of the DC / DC. Since both the DC / DC converters of the supercapacitor and battery adopt model predictive control, they will not be explained separately in the following analysis.

[0017] Such as figure 2 As shown, for any time t, the port voltage of the converter is the bus voltage u dc , port current i and inductor current i Lb It can be measured that according to the working mode of the energy storage unit at the current moment, the voltage correspondi...

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Abstract

The present invention belongs to the fields of new-energy energy storage and electric system energy storage, and relates to a hybrid energy storage control strategy based on model prediction which controls a DC / DC converter of a hybrid energy storage system by employing model predictive control, analyzes an equivalent circuit model of a hybrid energy storage converter in different working states to establish a prediction model, and establishes an optimizing function by taking searching the optimal working state of the converter as a target to pre-determine the state of the system in a future limited time domain so as to determine the current control motion. The hybrid energy storage control strategy based on model prediction can reduce and even eliminate the impact on the bus voltage caused by load steps, and the hybrid energy storage system converter inductive current can rapidly track a reference value to improve the response speed of the hybrid energy storage system on the energy demands of a microgrid. The voltage stability can be ensured when the photovoltaic disturbance occurs.

Description

technical field [0001] The patent of the present invention relates to hybrid energy storage control based on model prediction. Specifically, it involves the use of model predictive control to control the DC / DC converter of a hybrid energy storage system, which belongs to the field of new energy storage and power system energy storage optimization. Background technique [0002] With the increasingly serious environmental pollution caused by the burning of fossil fuels and the increasing demand for energy, countries around the world have reached a consensus on the development and utilization of renewable energy. However, renewable energy such as wind energy and solar energy has the characteristics of strong intermittency and large volatility, which leads to a decrease in the power quality and reliability of the power generation system. In order to solve this problem, an energy storage device is introduced into the renewable energy power generation system, so that the possible ...

Claims

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Application Information

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IPC IPC(8): H02J3/32H02J3/38
CPCY02E10/56Y02E70/30
Inventor 高玲刘宏伟
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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