DETECTION AND RECONCILIATION ON THE ABNORMAL OPERATION DATA BASED ON REDUNDANCY MEASUREMENT IN A POWER PLANT

Much attention should be paid to the impacts of abnormal operation data on the perfection of performance on-line monitoring and energy-loss diagnosis in a power plant. Considering different precision of the instruments onsite, this paper puts forward measures to detect and reconcile the abnormal operation data, based on measurement redundancy and maximum likelihood estimation, the reconciled data are perfectly fitted the basic theorems such as matter and energy conservation, principle of entropy increase in the system. Reconciliation of feed water flow, heat value and flow rate of coal to the boiler shows that this method can detect gross measurement errors in power plant, and reconcile them to reasonable data, the reconciled data reveal more actual conditions of the generating units, improve of the performance on-line monitoring and energy-loss diagnosing, and moreover it can remind the supervisor to calibrate the fault transmitters.