A Power System State Estimation Method Based on Strong Tracking Membership Estimation

Abstract

The invention discloses a power system state estimation method based on strong tracking set membership estimation. The power system state estimation method based on strong tracking set membership estimation comprises the following steps: acquiring a filtering target signal, and extracting characteristics of the filtering target signal; building an equation relation model of three continuously sampled sine-wave voltages, so that corresponding state equation, observation equation and discrete filtering target signal are obtained; according to set membership estimation algorithm recursive rules, obtaining a set membership estimation discrete algorithm formula by adopting an optimal bounding ellipsoid estimation algorithm; and introducing strong tracking thought, improving a superset membership estimation algorithm, filtering and estimating the state of the discrete filtering target signal, and considering corresponding state estimation results when power signal parameters are suddenly changed. The power system state estimation method based on strong tracking set membership estimation has the advantages that the effective superset membership estimation algorithm is introduced for carrying out state estimation, and the state estimation problem under the uncertain noise distribution characteristic condition is solved; and the tracking capability of working conditions that electric parameters such as amplitude and frequency in the power system are suddenly changed is improved by adopting the provided strong tracking superset membership estimation algorithm.

Description

technical field [0001] The invention belongs to the field of power systems, and relates to a method for estimating the state of a power system based on strong tracking member estimation. Background technique [0002] Data acquisition and monitoring (Supervisory Control And Data Acquisition, SCADA) system and energy management system (Energy Management system, EMS) are often used in power systems to ensure that the power grid operates in an ideal state and ensure the economical and safe operation of the system. State estimation provides the current state of the power grid for SCADA / EMS application analysis software based on the structure, parameters and real-time measurements of the power grid. It is the core and foundation of the entire network analysis application software, and occupies an important position in the entire SCADA / EMS system. The results of state estimation are used by the control center for emergency situation analysis, optimal power flow calculation, load s...

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Problems solved by technology

[0006] 1) Due to insufficient experimental design and prior knowledge, especially when the data length is small, there will be a certain degree of deviation in the characteristic description of the probability density function and autocorrelation function of the noise, and sometimes the characteristic description of the noise does not always rely on prior knowledge;

[0007] 2) If the noise is not random in nature, it is difficult to give a reasonable evaluation of whether the statistical assumption of the noise is consistent with the actual situation;

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