Fault-tolerant storage algorithm for abnormal displacement data of autonomous controllable relay protection equipment
LIU Qingquan
FAN Hui
LI Tiecheng
WANG Xianzhi
Abstract：[Objective]Relay protection equipment plays a crucial role in the operation of power systems.However,with the long-term operation of the equipment,aging and damage are inevitable,which will cause abnormal displacement data in relay protection equipment.If these abnormal data cannot be properly processed,the safe and stable operation of power systems will be affected.Therefore,how to effectively handle the abnormal displacement data of relay protection equipment has become a problem to be urgently solved.[Methods]An autonomous controllable fault-tolerant storage algorithm was proposed.Firstly,the state of the relay protection equipment was evaluated by this algorithm,with the potential disturbance factors analyzed.On this basis,the model predictive control(MPC)technology was adopted to predict the possible abnormal data.Based on the dynamic model of the system,decisions were made by MPC in advance via predicting the future state of the system.Then,the predicted abnormal data were corrected to restore the data to their original state.Meanwhile,the data elasticity theory and granularity rate were employed to calculate the compensation storage intensity.The data elasticity theory helped to measure the tolerance ability of the system in the face of faults,and the granularity rate was related to the data refinement degree.The accuracy and integrity of the data were ensured by the combination of the two.During the study,an experimental environment based on the above-mentioned algorithm was constructed,and the algorithm was tested by simulating the abnormal displacement data generated by the relay protection equipment in different working conditions.[Results]The algorithm's efficacy was verified by the experiment.The fault-tolerant rate of the algorithm is above 0.89,which means that under a large amount of abnormal data,most of the data errors can be successfully handled by the algorithm.The proportion of memory required for storage is less than 20 MB,indicating that the algorithm occupies fewer memory resources for data storage.Under the data number of 10000,the data transmission number is only 401,which reflects the high efficiency of the algorithm in data transmission.[Conclusions]It can be concluded from this study that the data fault-tolerance ability of relay protection equipment can be effectively enhanced by the proposed autonomous controllable fault-tolerant storage algorithm.The accuracy and integrity of the data are ensured by accurate prediction,correction of abnormal data and a reasonable storage strategy,thereby enhancing the ability of relay protection equipment to cope with equipment aging and damage.The reliability of relay protection equipment can be improved by the application of this algorithm in power systems to further ensure the safe and stable operation of power systems.The innovation of this study lies in the combination of MPC,data elasticity theory and the granularity rate to develop a brand-new fault-tolerant storage algorithm.This method of comprehensively adopting multiple technologies has unique advantages in handling the abnormal displacement data of relay protection equipment.By adopting the proposed algorithm,the data processing ability of relay protection equipment can be improved,and the risk of power system failures caused by data abnormalities can be reduced,which is of great significance for ensuring the safe and stable operation of power systems.
Keywords：autonomous controllable relay protectionabnormal displacementdata storagesystem fault tolerancedata compensationdata elasticity theorygranularity ratefault tolerance rate of algorithmmemory usage
Publication Date：2026-01-25
Online Publishing Date：2026-03-17(First online date of this platform, not the publication date of the document)
Pages：8( 29-36 )