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Monte Carlo-based equivalence reliability assessing method

A reliability, equivalent network technology, applied in data processing applications, instruments, calculations, etc., can solve the problem that the voltage and power support of the external network cannot be correctly reflected, the calculation accuracy of the reliability evaluation index is difficult to guarantee, and the power of the tie line cannot be reflected. Changes and other problems, to achieve the effect of small error, accurate reliability evaluation, and improved calculation speed

Inactive Publication Date: 2016-12-14
CHONGQING UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Although the calculation of the simple equivalent machine method is simple, it completely ignores the grid structure of the external network. When there is a disturbance in the internal network, it cannot reflect the power change on the connection line, and cannot correctly reflect the voltage and power support of the external network to the internal network. It may lead to difficulty in guaranteeing the calculation accuracy of the reliability evaluation index

Method used

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  • Monte Carlo-based equivalence reliability assessing method
  • Monte Carlo-based equivalence reliability assessing method
  • Monte Carlo-based equivalence reliability assessing method

Examples

Experimental program
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Embodiment 1

[0040] As shown in the figure, a Monte Carlo-based equivalent reliability evaluation method provided in this embodiment includes the following steps:

[0041] S1: Obtain the basic data of the power grid, establish an equivalent network according to the static equivalent method that considers sensitivity consistency and comprehensiveness with component types, and calculate all equivalent network parameters; construct an equivalent network;

[0042] S2: Set the number of sampling times, use the non-sequential Monte Carlo method to randomly sample the operating status of each component, and then obtain the random status of the intranet system;

[0043] S3: Determine whether the topological structure of the random state of the intranet system is disassembled, and if so, discard the smaller part of the network and retain the larger network;

[0044] S4: If not, go to the next step S5;

[0045] S5: Use the Newton-Raphson method for power flow calculation;

[0046] S6: Judging whet...

Embodiment 2

[0064] The Monte Carlo-based equivalent reliability evaluation method provided in this embodiment. First, the basic data of the entire network needs to be input, including the parameters and connection relationships of system components, the division of internal and external networks, and the availability of each component. Build an equivalence network according to a static equivalence method that considers sensitivity consistency and comprehensiveness with component types, and calculates all equivalence network parameters. Use the non-sequential Monte Carlo method, which is suitable for reliability evaluation of large-scale systems and high-order fault conditions, to simulate the operation of components and the magnitude of load fluctuations, and obtain the random state of the intranet system, and then analyze whether there is splitting and power flow in the network topology. Calculate and judge whether the branch power flow or node voltage exceeds the limit. Finally, the re...

Embodiment 3

[0075] The Monte Carlo-based equivalent reliability evaluation method provided in this embodiment, the specific method steps are as follows:

[0076] Input basic data: input the basic data of the interconnected grid, including the parameters of the primary equipment of the whole network (that is, the impedance of all lines, the susceptance to the ground and its transmission power constraints, the impedance of the transformer, the admittance to the ground, the transformation ratio and its transmission power Constraints, ground admittance of all nodes and connected load power, generator output and its output constraints, etc.) and topology (that is, the grid partition and the connection relationship of each node in the grid).

[0077] The Internet network nodes before equivalence are divided into three parts, which are the external network node set E, the border node set B and the internal network node set I. According to the division of internal and external networks, the numbe...

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Abstract

The invention discloses a Monte Carlo-based equivalence reliability assessing method. The method includes the steps of inputting whole network basic data, establishing an equivalence network according to a static equivalence method taking sensitivity consistency and element type comprehensiveness into consideration, and calculating all equivalence network parameters. The element operation and load fluctuation magnitude are simulated by using a non-sequential Monte Carlo method to obtain random state of an internal network system. Whether network topology is in a stepout state is analyzed, and whether branch trend or node voltage exceeds limits can be determined through trend calculation. The equivalence reliability of the system is comprehensively evaluated, and compared with the result obtained based on routine hang-up equivalence theory. When used for external network equivalence, the equivalence method ensures comprehensiveness of element types, and takes trend and sensitivity consistency into consideration. The calculation speed of reliability assessment is effectively improved through the method in combination with the non-sequential Monte Carlo method while ensuring equivalence precision.

Description

technical field [0001] The invention relates to the field of power system reliability analysis, in particular to a Monte Carlo-based equivalent reliability evaluation method. Background technique [0002] With the vigorous development of new energy, the continuous advancement of the power market, and the continuous growth of loads, the power system has gradually developed into a large interconnected power grid with hierarchical partitions and close connections between each partition. Due to the increasing mutual influence among the subnets, the influence of the Internet and the extranet must be considered effectively when analyzing and making decisions on the subnet under study (that is, the intranet). However, due to the large scale of the interconnected large grid or issues involving industry confidentiality, complete data exchange cannot be performed between the subnetworks, and it is difficult to realize the integrated analysis and decision-making of the interconnected l...

Claims

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Application Information

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IPC IPC(8): G06Q50/06
CPCG06Q50/06
Inventor 余娟刘育明朱小军郭林时权妍刘珏麟马梦楠
Owner CHONGQING UNIV
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