Distribution network state estimation method, device, system and medium based on sliding mode observation

Abstract

The invention discloses a distribution network state estimation method, device, system and medium based on sliding mode observation. By acquiring the measurement data of the distribution network system at time k and performing state prediction on the measurement data through a pre-built state estimation model, Obtain the state prediction value; observe the measurement parameters of the distribution network system through the preset sliding mode observer to obtain the measurement estimation value; correct the state prediction value according to the error between the measurement estimation value and the measurement data, Obtain the state estimation result at time k; obtain the measurement data at time k+1 and return to continue iterating until the preset convergence condition is met. The distribution network system is observed by the sliding mode observer, and the state estimation results are corrected based on the observation results, so that the state estimation trajectory of the distribution network system can gradually stabilize through the sliding mode motion independent of the system parameters, effectively reducing parameter disturbances The impact of load pattern changes on the accuracy of distribution network state estimation ensures the accuracy of distribution network state estimation.

Description

technical field [0001] The invention relates to the technical field of distribution network, in particular to a method, device, system and medium for state estimation of distribution network based on sliding mode observation. Background technique [0002] At present, users have higher and higher requirements on power quality and reliability, and distribution SCADA systems are also being installed more and more, so as to provide real-time data for distribution system analysis and control. However, due to economic considerations, the number of measuring equipment installed is limited, so the real-time data is far from enough, coupled with equipment and communication problems, the data transmitted to the control center has certain incorrect, unreliable or delayed problems , distribution network state estimation is an efficient method to solve the above problems. [0003] The traditional distribution network dynamic system estimation criterion is basically a deformation of the ...

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Problems solved by technology

However, due to economic considerations, the number of measuring equipment installed is limited, so the real-time data is far from enough, coupled with equipment and communication problems, the data transmitted to the control center has certain incorrect, unreliable or delayed problems , distribution network state estimation is an efficient method to solve the above problems

[0003] The traditional distribution network dynamic system estimation criterion is basically a deformation of the weighted least squares method, and its estimation accuracy is highly dependent on the parameter accuracy. Therefore, when the current operating state of the system changes greatly, the state estimation accuracy will decrease sharply.

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