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A Method of Ultra-Low Frequency Oscillation Suppression Based on Improved Particle Swarm Optimization Algorithm

An improved particle swarm and ultra-low frequency technology, applied in the direction of reducing/preventing power oscillation, calculation, calculation model, etc., can solve problems such as less DC power changes, and achieve the effect of ensuring stability

Active Publication Date: 2019-09-20
STATE GRID SICHUAN ELECTRIC POWER CO +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention solves the problem of ultra-low frequency oscillation in the area after asynchronous networking, and provides a method for suppressing ultra-low frequency oscillation based on the improved particle swarm algorithm, which can improve the convergence speed and accuracy of the algorithm by improving the algorithm of particle swarm optimization during application. Fewer DC power changes achieve effective suppression of ultra-low frequency oscillations

Method used

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  • A Method of Ultra-Low Frequency Oscillation Suppression Based on Improved Particle Swarm Optimization Algorithm
  • A Method of Ultra-Low Frequency Oscillation Suppression Based on Improved Particle Swarm Optimization Algorithm
  • A Method of Ultra-Low Frequency Oscillation Suppression Based on Improved Particle Swarm Optimization Algorithm

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Embodiment 1

[0034] Such as figure 1 As shown, a method for suppressing ultra-low frequency oscillation based on the improved particle swarm optimization algorithm, the method includes the steps of: S1: apply the same power disturbance to each DC of the multi-DC sending system, until the ultra-low frequency oscillation occurs in the excitation system , and record the ultra-low frequency oscillation mode amplitudes under each DC disturbance; S2: compare the ultra-low frequency oscillation mode amplitudes under each DC disturbance, and select a DC frequency limiting controller according to the ultra-low frequency oscillation mode amplitudes ( frequency limit controller, FC) control sensitive points; S4: using the control sensitive points of the FC as a basis, identify the system transfer function through the TLS-ESPRIT algorithm, and establish a particle swarm optimization model with the minimum integral of the system frequency deviation to time; S5 : Set the maximum number of iterations, th...

Embodiment 2

[0038] Such as Figure 2-6 As shown, a real grid structure such as figure 2 As shown, system S1 and system S4 are connected through three circuits of ±800kV traditional DC DC1, DC2, DC3; system S1 and system S5 are connected through one circuit of ±500kV traditional DC DC4; system S1 and system S2 are connected through 500kV AC line AC1, AC2 and AC3 are connected to form system S12; BTB is a flexible straight back-to-back converter station. After its completion, the connection between system S12 and external systems S3, S4 and S5 is all realized through the DC network. In the comprehensive program, the power grid model is built in the comprehensive program PSASP7.2. Considering that under the minimum operation mode in Fengqi, the three UHV DC powers of DC1, DC2 and DC3 are fully delivered, which are 8000MW, 7200MW and 6400MW respectively, and DC4 is zero power. Considering the case of no FC, apply 200MW power disturbance to DC1, DC2, and DC3 respectively to obtain the frequ...

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Abstract

The invention discloses an improved particle swarm algorithm-based ultra-low-frequency oscillation suppression method. The method comprises the steps of S1, applying same power disturbance on a directcurrent system separately, and recording each ultra-low-frequency oscillation modal amplitude value under disturbance; S2, selecting FC control sensitivity points of the ultra-low-frequency oscillation modal amplitude values; S4, establishing a particle swarm algorithm optimization model of the system; S5, setting each item of initial data of the particle swarm, and setting the current number ofiteration into 1; S6, updating particle speed and positions by adopting the particle swarm algorithm; S7, determining the current best individual extreme value; S8, determining the current best global extreme value; S9, performing nonlinear reducing of inertial weight, and updating the inertial weight value; and S10, if the current number of iteration is equal to the largest number of iteration,outputting an FC parameter optimization result, or otherwise, adding one to the current number of iteration and returning to the step S6. By virtue of the way, ultra-low-frequency oscillation can be suppressed effectively, simply and directly.

Description

technical field [0001] The invention relates to a power system stability control technology, in particular to an ultra-low frequency oscillation suppression method based on an improved particle swarm algorithm. Background technique [0002] With the successive advancement of back-to-back projects in West Shandong and back-to-back projects in Chongqing and Hubei, the main characteristics and risks of the transmission-end power grid after asynchronous networking have been transformed from the transient power angle stability problem between regional power grids to the frequency stability problem caused by the power balance of the regional power grid. In recent years, with the technological progress of the speed control system of generator sets, the performance of the speed control system has been greatly improved, and the response time has become faster and faster, so that when the grid frequency deviates, the frequency adjustment amount can be quickly called out to pull the fre...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/24G06N3/00
CPCG06N3/006H02J3/002H02J3/24H02J2203/20
Inventor 庞晓艳李建王彪胡鑫梁汉泉李甘王渝红刘程卓汤华王新宝韩连山
Owner STATE GRID SICHUAN ELECTRIC POWER CO