Application of wide area synchrophasor measurements for improved real-time monitoring and control of power systems

dc.contributor.authorGurusinghe, Dinesh Rangana
dc.contributor.examiningcommitteeNarendra, Krish (Electrical and Computer Engineering) Annakkage, Udaya (Electrical and Computer Engineering) Derksen, Robert (Mechanical Engineering) Gokaraju, Ramakrishna (Electrical and Computer Engineering, University of Saskatchewan)en_US
dc.contributor.supervisorRajapakse, Athula (Electrical and Computer Engineering)en_US
dc.date.accessioned2016-11-30T19:39:02Z
dc.date.available2016-11-30T19:39:02Z
dc.date.issued2016
dc.degree.disciplineElectrical and Computer Engineeringen_US
dc.degree.levelDoctor of Philosophy (Ph.D.)en_US
dc.description.abstractThis thesis investigates novel ways to utilize the potential of wide area synchrophasors for improved real-time monitoring and control of power systems. The performance of phasor measurement units (PMUs) was examined at the outset, since the accuracy and consistency of synchrophasor applications heavily rely on the input measurements. Two performance class algorithms: P-class and M-class, published in the IEEE standard C37.118.1-2011 were implemented on a commercial PMU and a simple test setup was developed to evaluate it. Tests revealed some inadequacies of the M-class algorithm and remedies were suggested. Moreover, several minor inconsistencies in error limits imposed by the existing synchrophasor standard were found and reported. Two new computationally efficient and stable algorithms for real-time estimation of transmission line parameters were developed. A third algorithm was developed to estimate parameters of series compensated lines. The proposed algorithms were validated through simulations carried out with a real-time digital simulator (RTDS), experiments conducted using a laboratory scale test setup, and using a set of field measurements. The second application is the prediction of transient stability status of a power system after a fault using synchrophasors. A novel algorithm, which utilizes the nature of rate of change of voltage vs. voltage deviation characteristics of the post-disturbance voltage magnitudes obtained from synchrophasors, was proposed. This algorithm is computationally simple and fast compared to the rotor angle based methods, capable of predicting the multi-swing transient instabilities, and pinpoints the generators that become unstable first, which is very useful for emergency controls. Offline and RTDS simulations demonstrated over 99% overall success rate under both symmetrical and asymmetrical faults, and robust performance under changes in pre-disturbance loading and network topology. Finally, a wide area response based emergency generator and load shedding scheme, which operates in conjunction with the prediction algorithm, was developed. A simple method to recognize the unstable cluster of generators using the synchronously measured voltages magnitudes is proposed and the unstable cluster is tripped if the system is predicted unstable. A frequency based load shedding scheme is applied to maintain the generation-load balance. The effectiveness of the approach was demonstrated using the RTDS based experimental test setup.en_US
dc.description.noteFebruary 2017en_US
dc.identifier.urihttp://hdl.handle.net/1993/31941
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectSynchrophasor measurementsen_US
dc.subjectSynchrophasor applicationsen_US
dc.subjectPhasor measurement unit (PMU)en_US
dc.subjectPMU dynamic testingen_US
dc.subjectPMU performance class filtersen_US
dc.subjectMeasurement errorsen_US
dc.subjectTotal vector error (TVE)en_US
dc.subjectDiscrete Fourier transformen_US
dc.subjectLeast squares estimationen_US
dc.subjectTransmission line parametersen_US
dc.subjectReal-time digital simulator (RTDS)en_US
dc.subjectTransient stability status predictionen_US
dc.subjectPost-disturbance trajectoryen_US
dc.subjectEmergency controlen_US
dc.subjectLoad sheddingen_US
dc.titleApplication of wide area synchrophasor measurements for improved real-time monitoring and control of power systemsen_US
dc.typedoctoral thesisen_US
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