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Power system uncertainty time-domain simulation method based on improved sparse probability allocation method

A time-domain simulation and uncertainty technology, applied in design optimization/simulation, electrical components, circuit devices, etc., can solve problems such as complex calculation methods and imperfect theories, and achieve the goal of reducing the number of samples and improving the speed of time-domain simulation Effect

Inactive Publication Date: 2018-02-02
TONGJI UNIV
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Problems solved by technology

The advantage of the analytical method is that its calculation amount is much smaller than that of the simulation method, but the disadvantage is that the calculation method is relatively complicated, the theory is not perfect, and it is still in the process of further development.

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  • Power system uncertainty time-domain simulation method based on improved sparse probability allocation method
  • Power system uncertainty time-domain simulation method based on improved sparse probability allocation method
  • Power system uncertainty time-domain simulation method based on improved sparse probability allocation method

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Embodiment Construction

[0044] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are provided, but the scope of application of the present invention is not limited to the following embodiments.

[0045] Such as figure 1 As shown, the present embodiment provides an uncertain time-domain simulation method based on the improved sparse probability distribution method, including steps:

[0046] S1. Establish an uncertain time-domain simulation input sample set based on the improved sparse probability allocation method:

[0047] S101. Calculating Gaussian points of uncertain parameters:

[0048] Given deterministic parameters, including: unit parameters, network topology and equipment parameters; uncertain parameters λ probability distribution data, including node load dema...

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Abstract

The invention relates to a power system uncertainty time-domain simulation method based on an improved sparse probability allocation method. The method mainly comprises the following steps: 1) puttingforward an improved sparse probability allocation method based on a Kronrod extension method; and 2) performing uncertainty quantization of power system time-domain simulation by the improved sparseprobability allocation method. Compared with the prior art, the method disclosed by the invention has the advantages that the quantity of required samples is reduced greatly under the condition of keeping the calculation accuracy of an uncertainty quantification result; the uncertainty time-domain simulation speed is increased; adaptation to random distribution of uncertainty parameters can be realized; and the influences of uncertainty parameters such as the wind speed of a wind power plant, the load demand and a failure occurrence position in time-domain simulation on a simulation result canbe considered comprehensively.

Description

technical field [0001] The invention relates to a time-domain simulation method for power system uncertainty, in particular to a time-domain simulation method for power system uncertainty based on an improved sparse probability distribution method. Background technique [0002] Power system time-domain simulation analysis is the most important tool for power system dynamic and transient stability analysis (hereinafter referred to as dynamic-temporal characteristic analysis), but so far most of them are aimed at analyzing the dynamic-temporal characteristics of the system under deterministic and unique working conditions. With a large number of grid-connected renewable energy and the complexity of the grid structure, the dynamic and temporary characteristics of the power system are affected by more and more uncertain factors (or events), such as: wind farm wind speed uncertainty, load demand uncertainty , the uncertainty of failure, etc. These uncertain factors or events have...

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Application Information

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IPC IPC(8): G06F17/50H02J3/00
CPCG06F30/20H02J3/00H02J2203/20Y02E60/00
Inventor 林济铿陈文龙刘阳升
Owner TONGJI UNIV
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