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Online optimization method for damping ratio of power system, storage medium and computing equipment

A power system, damping ratio technology, applied in design optimization/simulation, reducing/preventing power oscillation, single-network parallel feeding arrangement, etc., can solve the problems of limited application and high system model requirements, and achieve the improvement of damping ratio. Small disturbance stable effect

Active Publication Date: 2020-05-08
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current damping controllers are mostly designed in a certain scene, and it is difficult to play a good role in time-varying systems.
However, the existing adjustment system operation mode is supported by offline sensitivity, which has higher requirements on the system model
Both require accurate power system models as support, limiting their application in new contexts

Method used

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  • Online optimization method for damping ratio of power system, storage medium and computing equipment
  • Online optimization method for damping ratio of power system, storage medium and computing equipment
  • Online optimization method for damping ratio of power system, storage medium and computing equipment

Examples

Experimental program
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Effect test

Embodiment 1

[0050] This embodiment discloses an online optimization method for the damping ratio of a power system, such as figure 1 As shown, the steps are as follows:

[0051] S1. Obtain the operating status of the power system at time t through the existing wide-area monitoring system and data acquisition and monitoring control system in the actual power system, and obtain real-time operating data.

[0052] The real-time operation data specifically includes the power flow distribution of the system, the voltage of each bus, and the damping ratio of the initial state of the power system.

[0053] S2. Identify the state space of the power system to obtain the dominant mode in the power system, and calculate the damping ratio of the dominant mode at time t.

[0054] Among them, the identification of the state space adopts the known stochastic subspace identification method (SSI, StochasticSubspace Identification). The stochastic state equation of the system is identified from the output ...

Embodiment 2

[0084] This embodiment discloses a storage medium that stores a program. When the program is executed by a processor, the method for online optimization of the power system damping ratio described in Embodiment 1 is implemented, specifically as follows:

[0085] S1. Obtain the operating status of the power system at time t through the existing wide-area monitoring system and data acquisition and monitoring control system in the actual power system, and obtain real-time operating data;

[0086] S2. Identify the state space of the power system to obtain the dominant mode in the power system, and calculate the damping ratio of the dominant mode at time t;

[0087] S3. Judging whether the damping ratio of the dominant mode at the current moment is higher than the set safety threshold, if yes, then skip to S6; if not, then skip to S4;

[0088] S4. Construct an optimization model for online optimization of the damping ratio based on real-time operating data;

[0089] S5, solving th...

Embodiment 3

[0095] This embodiment discloses a computing device, including a processor and a memory for storing executable programs of the processor. When the processor executes the program stored in the memory, the online trend of the power system damping ratio described in Embodiment 1 is realized. The preferred method is as follows:

[0096] S1. Obtain the operating status of the power system at time t through the existing wide-area monitoring system and data acquisition and monitoring control system in the actual power system, and obtain real-time operating data;

[0097] S2. Identify the state space of the power system to obtain the dominant mode in the power system, and calculate the damping ratio of the dominant mode at time t;

[0098] S3. Judging whether the damping ratio of the dominant mode at the current moment is higher than the set safety threshold, if yes, then skip to S6; if not, then skip to S4;

[0099] S4. Construct an optimization model for online optimization of the ...

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Abstract

The invention discloses an online optimization method for the damping ratio of a power system, a storage medium and computing equipment. The method comprises the steps of firstly, obtaining the operation state of the power system at a moment t, and obtaining real-time operation data; identifying the state space of the power system, obtaining a dominant mode in the power system, and calculating thedamping ratio of the dominant mode at the moment t; judging whether the damping ratio of the dominant mode at the current moment is higher than a set safety threshold value or not, if so, judging whether the current moment reaches set time or not, and if not, constructing an optimization model for online optimization of the damping ratio according to the real-time operation data; solving the optimization model to obtain an optimized damping ratio; finally, judging whether the current moment reaches the set time or not, and if so, ending the optimization; if not, enabling t to be equal to t+1,and continuing to acquire the real-time operation data for optimization of the damping ratio. The damping ratio of the dominant mode can be improved by using the operation data, the method can be widely applied, and the small-interference stability is improved.

Description

technical field [0001] The invention relates to the cross technical field of power system identification and control processing, in particular to an online optimization method for a damping ratio of a power system, a storage medium and a computing device. Background technique [0002] A series of major changes are taking place in the modern power system: on the power supply side, a high proportion of renewable energy, mainly wind and photovoltaic, has infiltrated, while reducing the carbon emission rate of electricity, it has strengthened the random fluctuation of the power generation side; on the load side , in addition to the traditional load, the electric vehicle is a new type of load, and its charging and discharging behavior brings great randomness to the load side. The future power system will show strong randomness and uncertainty, which will bring great challenges to power grid operation scheduling and security defense control. [0003] In this context, the power sy...

Claims

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Application Information

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IPC IPC(8): H02J3/24H02J3/46G06F30/20
CPCH02J3/24H02J3/46
Inventor 张俊勃陈智豪
Owner SOUTH CHINA UNIV OF TECH
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