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Micro-grid day-ahead optimal scheduling method of microgrid considering risks

A technology for optimizing scheduling and micro-grid, applied in the field of electricity, can solve problems such as the accuracy cannot meet the requirements of scheduling, the uncertainty of power output power, and the strong volatility of wind power

Inactive Publication Date: 2020-02-04
广州捷能电力科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are two difficulties in achieving this goal: 1. The uncertainty of the output power of each power source, such as wind power has strong volatility, and the accuracy of the day-ahead prediction cannot meet the requirements of dispatching; 2. The power of each distributed power source in the system Reduced power supply reliability due to forced outages

Method used

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  • Micro-grid day-ahead optimal scheduling method of microgrid considering risks
  • Micro-grid day-ahead optimal scheduling method of microgrid considering risks
  • Micro-grid day-ahead optimal scheduling method of microgrid considering risks

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0152] Example 1: In this example, the risk cost is not considered in the optimization scheduling of the microgrid, that is, β=0 is set. The simulation results show that the total operation of the microgrid does not take into account the uncertainty of wind power and the forced outage of distributed power sources. The cost is 7629$.

[0153] Table 1 below shows the start-stop state and storage battery state of the distributed power supply in Embodiment 1. image 3 Contribute to the day-ahead scheduling plan of each power source in the microgrid.

[0154]

[0155]

[0156] Table 1 Start-stop status of each power supply in the microgrid (β=0)

[0157] From Table 1, image 3 Comprehensive analysis shows that the microgrid is mainly powered by the wind farm during the 1st to 11th period, and the battery is in the charging state most of the time; the microgrid is mainly powered by the distributed power supply during the 12th to 24th period, and the battery is in the dischar...

Embodiment 2

[0158] Embodiment 2: This embodiment studies the influence of different risk levels on the day-ahead optimal scheduling of microgrids. When β=0.9, the total operating cost of the microgrid is 10267$. Compared with Example 1, the total operating cost of the system increases significantly when the operating risk is taken into consideration. Because when the risk cost ratio in the model objective function is large, the system must purchase more electricity from the main grid to ensure the safety and stability of the operation, and less dispatch of wind power and distributed power output, resulting in a substantial increase in operating costs; obviously The added cost is to compensate the power imbalance that may be caused by uncertain factors in the system.

[0159] The following table 2 shows the start-stop status and storage battery status of the distributed power supply in embodiment 2, and the shaded part in table 2 is the status difference compared with table 1. Figure 4 ...

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Abstract

The invention relates to a micro-grid day-ahead optimal scheduling method considering risks. The method comprises the following steps: step 1, uncertainty modeling: establishing an uncertainty model of distributed power supply forced outage and wind power output power based on scene analysis, then selecting a synchronous back substitution elimination technology to carry out scene reduction, and carrying out clustering combination or elimination on a part of scenes with relatively low occurrence probability; step 2, optimization scheduling modeling; and step 3, carrying out simulation tests, setting beta values to be 0.1-0.9, and carrying out the simulation tests respectively to obtain a comparison table of system operation costs, risk values and total operation costs of different beta values, thereby obtaining the beta value with the minimum total operation cost. The invention relates to a micro-grid day-ahead optimization scheduling method of a microgrid considering risks, and provides a micro-grid day-ahead random optimization scheduling model considering risks, which is used for flexibly scheduling various energy sources in the microgrid. Meanwhile, the risk level coefficient isused for controlling the operation risk value of the microgrid day-ahead scheduling strategy. The validity of the proposed model is verified in a microgrid simulation system.

Description

technical field [0001] The invention relates to a day-ahead optimal scheduling method of a micro-grid considering risks. It belongs to the field of electrical technology. Background technique [0002] Microgrid is a subsystem of distribution network, which is an integrated energy system composed of interconnected loads and distributed power sources, which can operate in grid-connected or isolated grid mode. [0003] Due to the proliferation of micro-grids in the distribution network, the continuous improvement of wind power penetration, the volatility and uncertainty of wind power, and the randomness of forced outages of distributed power sources have brought severe challenges to the operation of micro-grids. Therefore, it is necessary to Improve the stability of the microgrid operation, that is, when the system is disturbed, the microgrid has the ability to quickly adjust the operating state. [0004] The expected goals of the operation of the microgrid system are the low...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06Q10/04G06Q10/06G06Q50/06
CPCG06F17/18G06Q10/04G06Q10/0631G06Q10/0635G06Q50/06Y04S10/50
Inventor 赖金涛
Owner 广州捷能电力科技有限公司
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