PSS design method based on hierarchical control of wide-area multi-signal input

Abstract

A method of designing a PSS (Power System Stabilizer) based on wide-area multi-signal input hierarchical control includes the following steps: (1) using a high-precision identification algorithm to directly derive a precise low-order linear model of a system through field measurement data or nonlinear time-domain simulation; (2) selecting multiple wide-area signals with strong observability and controllability from the whole system as the feedback input of controllers; (3) implementing hierarchical control; (4) designing a different fixed time delay compensation link for each mode in order to eliminate the influence of the time delay of the wide-area signals on the control effect; and (5) superposing signals output by mode controllers and taking the superposed signal as final control output of a PSS based on wide-area multi-signal input hierarchical control. The method has the following advantages: (1) an optimal damping effect can be achieved with minimum control cost; (2) the PSS has a better control effect and higher robustness than the traditional controller, and is beneficial to engineering practice; (3) a better control effect can be achieved; and (4) the overall control effect is better.

Description

technical field [0001] The invention relates to a PSS design method based on wide-area multi-signal input layered control, which belongs to the field of power system stability control. Background technique [0002] Under the background of the national power grid interconnection, the scale of my country's power grid continues to expand, the structure is becoming more and more complex, and low-frequency oscillation has increasingly become a prominent problem that seriously threatens the dynamic security and stability of the power grid. PSS has become the most widely used low-frequency oscillation suppression method because of its simple structure and good economy and can eliminate the source of negative damping from the source. However, the traditional PSS has low degrees of freedom, poor robustness, and general control effect. [0003] Many researchers try to apply advanced control theories or optimization algorithms such as fuzzy control, adaptive control, variable structur...

AI Technical Summary

Problems solved by technology

These design methods, to a certain extent, have achieved the purpose of optimizing system damping and suppressing low-frequency oscillations, but they all belong to local control strategies and use a single input signal. The designed PSS has low degrees of freedom and poor regional coordination ability, and cannot be compared Good suppression of low-frequency oscillations in multiple modes of the system

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