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Multi-complementary microgrid varied-time scheduling method and device based on dynamic matrix control

A dynamic matrix control and micro-grid technology, applied in the field of electric power, can solve problems such as the inability to timely and effectively correct the deviation of optimal scheduling results, and achieve the effect of ensuring accuracy

Active Publication Date: 2018-04-20
HUNAN TECHN COLLEGE OF WATER RESOURCES & HYDROPOWER +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, as these new energy micro-grids are connected to the power grid, the safe operation of the power grid is facing severe challenges, especially the access of a large number of renewable intermittent distributed power sources, energy storage devices, and flexible loads to ensure the economic operation and safety of the power grid. Optimal scheduling is the key problem to be solved urgently
The current optimal scheduling method is mainly based on the open-loop optimal scheduling control of an optimal period in the future, which cannot timely and effectively correct the deviation of optimal scheduling results caused by random factors such as wind power and photovoltaic forecast errors.

Method used

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  • Multi-complementary microgrid varied-time scheduling method and device based on dynamic matrix control
  • Multi-complementary microgrid varied-time scheduling method and device based on dynamic matrix control
  • Multi-complementary microgrid varied-time scheduling method and device based on dynamic matrix control

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Embodiment 1

[0081] figure 1 It is a schematic flowchart of a multi-energy microgrid time-varying scheduling method based on dynamic matrix control provided by Embodiment 1 of the present invention. The method provided by the present invention includes: Step S1: Using neural network time series to predict multiple The total load demand of the energy microgrid and the total output power of the uncontrollable micro-sources in the multi-energy micro-grid, and the total output power of the controllable micro-sources in the multi-energy micro-grid; wherein, the total load demand of the multi-energy micro-grid includes The total output power of the uncontrollable micro-source and the total output power of the controllable micro-source; step S2: taking the total output power of the controllable micro-source obtained in step S1 as a constraint condition, and solving them respectively through the economic optimal objective function Optimal power flow to obtain the expected output power values ​​of ...

Embodiment 2

[0145] figure 2 It shows a multi-energy microgrid time-varying scheduling device based on dynamic matrix control provided by Embodiment 2 of the present invention, including:

[0146] The controllable micro-source total output power prediction module 100 is used to predict the total load demand of the multi-energy micro-grid and the total output power of the uncontrollable micro-source in the multi-energy micro-grid by using the neural network time series based on historical data and weather information, and calculate The total output power of the controllable micro-sources in the multi-energy micro-grid;

[0147] Wherein, the total load demand of the multi-energy micro-grid includes the total output power of the uncontrollable micro-source and the total output power of the controllable micro-source;

[0148] The optimal power flow module 200 is used to use the total output power of the controllable micro-source obtained by the controllable micro-source total output power pr...

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Abstract

The invention provides a multi-complementary microgrid varied-time scheduling method and a multi-complementary microgrid varied-time scheduling device based on dynamic matrix control. The method comprises the steps of S1, predicting an overload requirement of a multi-complementary microgrid and overall output power of an uncontrollable microsource, and working out the overall output power of a controllable microsource according to historical data and weather information; S2, separately solving an optimal power flow via an economic optimal objective function by using the overall output power ofthe controllable microsource as a constraint condition, to acquire a desired value of the output power of each kind of controllable microsource; S3, using the desired value of the output power as aninput parameter, and separately solving a predicted value of the output power of each kind of controllable microsource according to a prediction model controlled by a dynamic matrix; and S4, correcting the predicted value of the output power and the actual measured value of the output power, and determining a scheduling scheme according to the corrected output power. The method and the device provided by the invention have the characteristics that the PID structure is simple, the parameter is convenient to adjust, and the DMC rolling optimization robustness is strong, the feedback correction link is introduced, and the affect of the random factor on the scheduling result is corrected.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a multi-energy microgrid time-varying scheduling method and device based on dynamic matrix control. Background technique [0002] In recent years, due to the large demand for energy and the contradiction that traditional fossil energy is on the verge of exhaustion has become increasingly prominent, the development of renewable clean energy such as wind energy and solar energy has also received people's attention. Multi-energy complementary independent power system refers to a small-scale power system formed by fully utilizing renewable energy such as hydropower, wind energy, and solar energy according to local conditions. It can also be called a hybrid power generation system or a new energy microgrid. The proposal of multi-energy complementary independent power system also solves the power supply problem in quite a few remote areas. However, as these new energy micro-gr...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/46H02J3/38
CPCH02J3/00H02J3/382H02J3/46H02J2203/20
Inventor 禹红夏向阳赵昕昕王坚陈暘艾茂华刘芬于兰芝吴桂香
Owner HUNAN TECHN COLLEGE OF WATER RESOURCES & HYDROPOWER
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