Small-signal stability prediction and decision support method

A technology of stability prediction and small disturbance stability, applied in the direction of reducing/preventing power oscillation, etc., which can solve the problems of incomplete mutual transparency of regional data and technical difficulties.

Inactive Publication Date: 2011-08-17
WUHAN UNIV
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Problems solved by technology

[0006] The present invention mainly solves the problem in the prior art that each region in the whole network only has its own local online data and power grid model and parameters, and the data in each region is not completely transparent to each other, and the centralized management of online data in each region of the whole network exists. There are also technical problems such as tec

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[0033] First introduce the two theories that the present invention needs to relate to:

[0034] 1) Paradigm Reasoning Theory

[0035] Case-Based Reasoning (CBR) is an important reasoning method in the field of artificial intelligence. Its core idea is to store experience and knowledge in a structured manner, and then realize judgment and reasoning. A complete CBR system generally consists of several processes such as representation and organization of examples, retrieval and matching, reuse and modification, and addition of new examples.

[0036] When CBR is applied to power system small-disturbance stability prediction, the basic paradigm consists of a series of characteristic attribute vectors of the problem and a problem solution vector. A typical basic case unit can be defined as a two-tuple:

[0037] c i =i ,s i > (1)

[0038] In formula (1): p i ={a i1 , a i2 , L, a in} is a non-empty finite set, representing the relevant information of the operating state, inc...

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Abstract

The invention relates to prediction and decision support method, in particular to a small-signal stability prediction and decision support method. In the invention, the case-based reasoning theory and the OAPID (Oscillatory Active Power Increment Distribution) calculation are creatively adopted, data is measured in real time based on a WAMS (Wide Area Measurement System), and small-signal stability prediction is realized according to the level of similarity between the existing case (especially the operating manner prior to oscillation corresponding to a frequent low-frequency oscillation event recorded by the WAMS) and the current operating manner. On the other hand, if the prediction results show that the weak damping mode exists in the current operating manner or low-frequency oscillation has been occurred, the small signal stability of the system is improved by scheduling according to the operating manner indicated by the case with higher level of matching similarity and the damping ratio meeting conditions by targeting at increasing the damping ratio of the corresponding mode (corresponding weak damping mode or low-frequency oscillation corresponding mode).

Description

technical field [0001] The invention relates to a prediction and auxiliary decision-making method, in particular to a small disturbance stability prediction and auxiliary decision-making method. Background technique [0002] With the continuous expansion of the scale of the power grid and the increasingly complex structure, the stability of the power grid has become increasingly prominent. Furthermore, with the continuous increase of load demand and the pursuit of operating efficiency and efficiency by power companies, the continuous increase of line transmission capacity is likely to cause small disturbance stability problems in the power system. The small disturbance stability problem of power system has become one of the main factors restricting the transmission capacity of transmission lines. [0003] As we all know, there are usually two forms of instability that may occur after a disturbance: ① due to insufficient synchronous torque, the generator rotor angle graduall...

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Application Information

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IPC IPC(8): H02J3/24
Inventor 林涛高玉喜张帆李强徐遐龄
Owner WUHAN UNIV
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