Static safety analysis method based on Latin hypercube sampling probabilistic load flow

A static security analysis and Latin hypercube technology, which is applied to AC network circuits, single-network parallel feeding arrangements, wind power generation, etc., can solve problems such as long calculation time, and achieve the effect of increasing calculation speed and accuracy

Active Publication Date: 2018-06-19
NANJING UNIV OF SCI & TECH
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Problems solved by technology

However, the Monte Carlo simulation method commonly used in probabilistic power flow calculations is generally not affected by the scale of the system and can obtain very high-p

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  • Static safety analysis method based on Latin hypercube sampling probabilistic load flow
  • Static safety analysis method based on Latin hypercube sampling probabilistic load flow
  • Static safety analysis method based on Latin hypercube sampling probabilistic load flow

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Embodiment Construction

[0012] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0013] combine figure 1 , the present invention is based on the static security analysis method of Latin hypercube sampling probability flow, comprises the following steps:

[0014] Step 1: Sampling the random variables of wind farm forecast output to establish a sample matrix of wind power forecast output;

[0015] Step 2. According to the sample matrix of wind power forecast output established in step 1, the DC outage probability power flow calculation is performed, and the list of predicted accidents is obtained by using the predicted accident ranking index;

[0016] Step 3: According to the expected accident list obtained in step 2, use the comprehensive evaluation index to analyze one by one in order until five consecutive accidents no longer cause branch overload in the system.

[0017] In a preferred solution of the method of...

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Abstract

The invention discloses a static safety analysis method based on a Latin hypercube sampling probabilistic load flow. The method comprises the steps of (1) sampling wind farm predicted output random variables and establishing a sample matrix of wind power predicted output, (2) carrying out DC breaking probability flow calculation according to the sample matrix of wind power predicted output established in step (1), and obtaining a contingency list by using a contingency ranking index, and (3) orderly analyzing accidents by using a comprehensive evaluation index one by one according to the contingency list obtained in step (2) until five consecutive accidents do not cause branch overload of a system. According to the method, a calculation method based on a Latin hypercube sampling probabilistic load flow is introduced into the static safety analysis of a power system, the distribution characteristics of branch flow and probability flow are considered by the contingency ranking index, the concept of entropy is introduced into the comprehensive evaluation index, and the influence of contingencies on the system can be fully reflected.

Description

technical field [0001] The invention belongs to the technical field of static safety analysis of electric power systems, and in particular relates to a static safety analysis method of electric power systems based on Latin hypercube sampling probability flow. Background technique [0002] In recent years, wind power generation technology has become increasingly mature, and the development of wind power in my country has shown a trend of large-scale development. However, wind curtailment will occur in areas with excess wind resources, and the power generated by the wind farm at full capacity cannot be fully integrated into the grid. The output probability distribution presents an irregular distribution. However, with the access of large-scale wind power, a large number of uncertain factors have been brought to the power system. Therefore, it is necessary to conduct a static security analysis of the power system based on probabilistic power flow, which is conducive to the rea...

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Application Information

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IPC IPC(8): H02J3/38
CPCH02J3/386H02J2203/20Y02E10/76
Inventor 王惟怡张俊芳宋晓健王亚奇王健
Owner NANJING UNIV OF SCI & TECH
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