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Unit combination method for resolving and considering wind power volatility

A unit combination and volatility technology, which is applied in wind power generation, single grid parallel feeding arrangement, etc., can solve the problems of inability to adapt to the power grid requirements with increased volatility, insignificant system volatility, and significant power system volatility, etc. The effect of improving the ability to deal with wind power volatility, improving economy, improving safety, stability and economy

Active Publication Date: 2012-09-19
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional unit combination model does not consider new energy sources such as wind power with strong randomness, so the fluctuation of the system is not obvious. Under this premise, the traditional unit combination method deals with the system load by reserving a certain percentage of the total system load capacity or power fluctuations
However, with the large-scale access of new energy sources such as wind power, the fluctuation of the power system is becoming more and more significant, and the traditional backup method can no longer meet the requirements of the power grid with increased fluctuation.

Method used

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  • Unit combination method for resolving and considering wind power volatility
  • Unit combination method for resolving and considering wind power volatility
  • Unit combination method for resolving and considering wind power volatility

Examples

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Embodiment

[0051] This example uses an IEEE-30 node system such as figure 2 shown. The load of the system at each time period is as follows: image 3 As shown, the prediction range of wind power output in each period of the system is as follows: Figure 4 shown. The objective function is set to minimize the total power generation cost of the system (1), where is the generation cost of the unit, is the start-up cost of the unit, is the total number of periods; is the number of generators; for the crew at the moment active contribution.

[0052] (1)

[0053] Constraint conditions are: active load balance constraint (2), unit output constraint (3), unit climbing constraint (4), unit maximum startup and shutdown time constraint (5), line power flow constraint (6), node voltage constraint (7) .

[0054] (2)

[0055] In the formula: ; for the crew at the moment start-stop status; is the number ...

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Abstract

The invention discloses a unit combination method for resolving and considering wind power volatility. Compared with the existing unit combination method, the method has the benefits that by applying an interval linear programming theory, the system security can stability can be theoretically ensured within a wind power output fluctuation scope, and the economy of the system is improved on the premise of safety; and under the realistic background that wind power and other new energy resources are largely introduced, the ability of the power system to answer the wind power volatility can be effectively improved, and the system safety and the stability are improved.

Description

technical field [0001] The invention belongs to the technical field of operation, analysis and dispatching of electric power systems, and in particular relates to a unit combination method containing fluctuating energy sources such as wind power. Background technique [0002] How to improve the overall economy of the system on the premise of ensuring the safety of the grid has always been the core content of the grid's short-term power generation plan. In recent years, with the rapid development of new energy technologies, a large number of new energy sources, especially wind power, have been integrated into the grid. Compared with traditional power generation methods, wind power generation has the advantages of pollution-free and renewable. However, wind power generation itself also has some shortcomings, such as the output of wind turbines is almost unadjustable, and the output changes quickly and in a large range, making it difficult to predict accurately. These problems...

Claims

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Application Information

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IPC IPC(8): H02J3/38
CPCY02E10/763Y02E10/76
Inventor 江全元周博然张恺伦
Owner ZHEJIANG UNIV
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