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Multi-machine power system self-adaptive fuzzy dynamic surface sliding mode control method capable of meeting preset output tracking performance

An electromechanical system, self-adaptive fuzzy technology, applied in self-adaptive control, flexible AC transmission system, general control system, etc., can solve problems without considering connection and interaction

Active Publication Date: 2019-11-26
NORTHEAST DIANLI UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the general generator excitation controller and SVC controller are designed independently of each other, without considering the connection and interaction between them
Uncoordinated control strategies can have negative impacts

Method used

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  • Multi-machine power system self-adaptive fuzzy dynamic surface sliding mode control method capable of meeting preset output tracking performance
  • Multi-machine power system self-adaptive fuzzy dynamic surface sliding mode control method capable of meeting preset output tracking performance
  • Multi-machine power system self-adaptive fuzzy dynamic surface sliding mode control method capable of meeting preset output tracking performance

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0336] The actual operating point is selected as: δ 10 =40.415°,ω 10 =100.02πrad / s, P m10 =1.02p.u.,V ref1 =1.15p.u.,δ 20 =40.285°,ω 20 =99.98πrad / s,P m20 =0.98p.u.,V ref2 = 1.05 p.u..

[0337] The simulation results of Example 1 are shown in Figure (2-7).

[0338] figure 2 The power angle tracking error of the proposed method and the power angle tracking error of the conventional adaptive inversion method are shown. The control law of the traditional adaptive inversion method is

[0339]

[0340] It can be seen that the method of the present invention is much simpler than the traditional self-adaptive inversion method, and the power angle tracking error is always kept within the predetermined tracking performance curve.

[0341] Correspondingly, the maximum and root mean square values ​​of the tracking errors in the steady state (t>900ms) of the two control schemes are shown in Table 2. It can be seen that the method proposed in this paper has the characteristi...

example 2

[0346] The operating point is selected as: δ 10 =40.4015°,ω 10 =100.04πrad / s,P m10 = 1.01 p.u., V ref1 = 1.15 p.u., δ 20 =40.2085°,ω 20 =100.05πrad / s,P m20 =1.018p.u.,V ref2 = 1.05 p.u. In order to verify the effectiveness of the method proposed in this paper for the dual-machine power system with SVC equipment, it is assumed that during the operation of the system, a three-phase voltage short-circuit fault suddenly occurs at t=4.8s and disappears after a duration of 0.4 seconds.

[0347] Simulation results such as Figure 8-14 . Figure 8 For the power angle tracking error between the proposed method and the traditional adaptive inversion method in the case of short-circuit interference. The steady-state MVTE and RMSVTE of the two control methods are shown in Table 3. It can be seen that the control effect of this method is better than that of the traditional adaptive inversion method. Figure 9-11 The curves of power angle, rotational speed and electric power of t...

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Abstract

The invention discloses a multi-machine power system self-adaptive fuzzy dynamic surface sliding mode control method capable of meeting preset output tracking performance. The method comprises the following steps that: 1) a multi-machine power system model containing SVC, external interference and multi-machine interconnection coupling items is constructed; 2) the fuzzy logic system approximator of the multi-machine power system is designed to approximately obtain an unknown function in the multi-machine power system model in the step 1); 3) the tracking error of the multi-machine power systemis defined, and an error performance conversion function is introduced, so that preset tracking performance can be realized; and 4) a dynamic surface is combined with sliding mode control, so that the fuzzy self-adaptive dynamic surface sliding mode controller of the multi-machine power system is designed. With the method provided by the invention adopted, the tracking performance can meet a preset condition; the robustness of the controller is improved on the premise of ensuring a concise control law; and finally, all error signals of a closed-loop system are ensured to be uniformly boundedfinally.

Description

technical field [0001] The invention belongs to the field of power system control, and in particular relates to a multi-machine power system self-adaptive fuzzy dynamic surface sliding mode control method satisfying preset output tracking performance. Background technique [0002] In recent decades, trans-regional and cross-border power transmission has become a trend in the development of power grids, and its characteristics of multi-dimensionality, strong coupling, and high nonlinearity will become more and more obvious. Therefore, the power system is more likely to encounter unstable factors during operation, such as internal uncertainty, external disturbance, etc., which adds difficulty to the stability control of the power system. In order to ensure the safe and stable operation of the power system, it is necessary to propose a more effective control strategy and design a controller with excellent performance. For nonlinear power systems with uncertainties, combined wi...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/048Y02E40/10
Inventor 祝国强聂琳琳孙灵芳张秀宇彭雅轩李静李晓明
Owner NORTHEAST DIANLI UNIVERSITY
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