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Identification method of complex power grid self-organization critical state

A technology of self-organized criticality and identification method, applied in the direction of electrical components, circuit devices, AC network circuits, etc.

Inactive Publication Date: 2013-09-18
STATE GRID CORP OF CHINA +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an identification method for self-organized critical state of complex power grids to solve the shortcomings of existing self-organized critical state identification methods

Method used

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  • Identification method of complex power grid self-organization critical state
  • Identification method of complex power grid self-organization critical state
  • Identification method of complex power grid self-organization critical state

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0041] figure 1 It is a flow chart of the identification method for the self-organized critical state of the complex power grid provided by the present invention. Such as figure 1 As shown, the process of identification method for self-organized critical state of complex power grid includes:

[0042] Step 1: Obtain the actual load loss of random faults in the power grid.

[0043] The present invention adopts the OPA model based on removing slow dynamic process, obtains the load loss of the current power grid under random faults through DC power flow calculation and network topology analysis, and provides data support for the self-organized critical state judgment and quantitative description of the power grid.

[0044] Such as figure 2 As shown, the simulation method is used to obtain the actual load loss of random faults in the power grid, including:

[0045] Sub-step 101: set the number K of random faults in the power grid during simulation, and set j=1.

[0046] Since...

Embodiment 2

[0096] Step 1: First, read in the parameters of regional power grids A and B and the power flow limit of each line component, determine the maximum output and load demand of the generator, and obtain the actual load loss of random faults in the power grid. The generation and load power of power grids A and B are counted, as shown in Table 3.

[0097]

[0098] Table 3. Generation and load power of regional power grids A and B (MW)

[0099] Step 2: Set the number of power outage simulations to 20, and calculate the load loss and cumulative probability of power grids A and B after random failures in the current state. As shown in Table 4 and Table 5. Only the cases with load loss are counted in the table.

[0100] Load loss (MW)

25

41

100

120

cumulative probability

0.2

0.15

0.1

0.05

[0101] Table 4. Load loss and cumulative probability after random failure of power grid A

[0102] Load loss (MW)

50

60...

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Abstract

The invention discloses an identification method of a complex power grid self-organization critical state in the technical field of electric power system cascading failure prevention. The method includes: obtaining actual load loss caused by random failures occurring on a power grid; calculating cumulative probability of the random failures occurring on the power grid according to the actual load loss caused by the random failures occurring on the power grid and set load loss amount; performing regression analysis on the set load loss amount and the cumulative probability so as to determine whether the power grid is in a self-organization critical state; calculating a power grid load loss expectancy value and determining relative probability of load loss failures occurring on the power grid when the power grid is in the self-organization critical state. The identification method enables users to accurately judge whether the power grid is in the self-organization critical state at present, obtain probability of cascading failures occurring on the power grid, calculate load loss amount after the cascading failures occur and meanwhile estimate relative probability of large-scale power failures caused by the load loss.

Description

technical field [0001] The invention belongs to the technical field of power system cascading fault prevention, and in particular relates to an identification method of a self-organizing critical state of a complex power grid. Background technique [0002] Self-organized criticality theory was first used to describe and analyze the behavior characteristics of nonlinear and disordered complex systems. After the theory was established, it had a profound impact in many fields such as engineering, nature and society. After entering the 21st century, self-organized criticality theory has been widely used in power systems. The theory holds that the power grid is always in a continuous unbalanced state; and due to the interaction between the internal elements of the power system, the system is further spontaneously driven to a critically stable state, that is, the critical state. When the power system is in this self-organized critical state, any small disturbance may cause unexp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06Q50/06
Inventor 郑伟刘文颖智勇梁才拜润卿但扬清梁琛刘茜韩旭杉卢甜甜杨勇蔡万通周喜超文晶崔力心郭鹏倪赛赛李俊游杜波
Owner STATE GRID CORP OF CHINA
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