Analysis sensitivity-based under voltage load shedding optimal control method for power system

A low-voltage load shedding and power system technology, which is applied in the direction of power network operating system integration, information technology support system, AC network voltage adjustment, etc., can solve problems such as inaccurate results and unanalyzed results, and achieve analytical and increased selectivity and flexibility, the effect of physical clarity

Inactive Publication Date: 2013-01-30
HARBIN INST OF TECH +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of these methods require measurement information of the entire network, or even if global information is not required, the results are often inaccurate or unresolved

Method used

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  • Analysis sensitivity-based under voltage load shedding optimal control method for power system
  • Analysis sensitivity-based under voltage load shedding optimal control method for power system
  • Analysis sensitivity-based under voltage load shedding optimal control method for power system

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0010] It includes the following steps: 1. When an emergency alarm occurs on the node voltage of the control area power network, according to the network topology, generate or call the corresponding system network impedance matrix parameters online; 2. According to the corresponding network impedance matrix parameters and related nodes Measure the data and generate the corresponding control node set; 3. Calculate the load shedding control sensitivity coefficient of each node in the control node set to the controlled node; 4. Establish and solve the load shedding control according to the online generated control node set and the corresponding sensitivity coefficient Optimize the control model, give the corresponding load shedding control strategy and control parameters, transmit the control signal to each load shedding location, and implement the control.

[0011] Here is a specific example, taking the IEEE 30-node system (see figure 1 ) as an example for simulation and analysi...

specific Embodiment approach 2

[0042] Specific implementation mode two: this implementation mode is specifically defined on the basis of implementation mode one: in step one, the network impedance matrix parameters corresponding to the controlled nodes can be generated by online generation, or by offline generation and online calling way produced. In practical applications, in order to give and execute control measures as quickly as possible, it can be directly called from the offline database based on the online identification of the network topology, thus saving the calculation process and time of the network impedance matrix.

specific Embodiment approach 3

[0043] Specific implementation mode three: this implementation mode is specifically defined on the basis of implementation mode one: in step two, first select the impedance matrix element Z ik (i is the number of the controlled node, k=1,...,n, n is the number of load nodes) several nodes with larger absolute values ​​are used as the control node set, and then the control node set is further narrowed and selected according to the following principles:

[0044] 1) The voltage V at the load point to be removed k lower;

[0045] 2) The power factor ξ of the load point to be removed k smaller;

[0046] 3) The load shedding cost coefficient of the removed load point is low;

[0047] 4) The removed load point has a relatively heavy load, that is, it has a greater control ability.

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Abstract

The invention discloses an analysis sensitivity-based under voltage load shedding optimal control method for a power system. The invention relates to under voltage load shedding optimal control of a power system, belonging to the field of security analysis, monitoring and control for the power system. The defect in the prior art that a under voltage load shedding policy can be obtained with a great deal of off-line simulation is overcome. The method comprises the following steps of: generating or scheduling corresponding system network impedance matrix parameters in an on-line mode according to a network topology structure situation when a node voltage for controlling a local power network sends emergency alarm; generating a corresponding control node set according to the corresponding network impedance matrix parameters and relevant node measuring data; calculating load shedding control sensitivity parameters of each node in the control node set to a controlled node; and establishing and solving a load shedding optimal control model according to the control node set which is generated in the on-line mode and the corresponding sensitivity parameters, providing the corresponding load shedding control policy and control parameters, and transmitting control signals to each load shedding point so as to execute the control.

Description

technical field [0001] The invention relates to the optimal control of low-voltage load shedding in electric power systems, and belongs to the field of safety analysis, monitoring and control of electric power systems. Background technique [0002] In recent years, there have been many large-scale blackout accidents caused by voltage instability all over the world, causing huge economic losses and social impacts, which have attracted great attention from governments and power companies in various countries. In order to take into account the safety and economy of the power system operation, when the system node voltage continues to decrease and the power transmission capacity of the system cannot meet the power demand of the load, it is the most direct and effective emergency control to remove a certain amount of load at an appropriate time and place means. Taking low-voltage load shedding control measures is currently recognized by countries all over the world as the most e...

Claims

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Application Information

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IPC IPC(8): H02J3/14
CPCY02B70/3225Y04S20/222
Inventor 牟晓明李卫星李志民
Owner HARBIN INST OF TECH
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