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Abstract(s)
Electronic power supplies are found in almost all electrical equipment. They are
sensitive to power quality disturbances but they themselves are causers of interference.
This becomes more prominent with their wider use which means that these disturbances
have a tendency to aggravate in future. One of the results will be that additional losses will
occur and end-users will also be penalised for it by paying more. There is a need to revert
this tendency also in an effort to help lower pollution. Another consequence of
disturbances is the added difficulty that power grid operators will have to maintain the
network stable. Everyone would therefore benefit from more efficient electricity
consumption. A power quality disturbance can be measured with a power quality analyser
to help the technician find its cause. This is the first step to finding a solution to resolve the
disturbance.
The objective of this project was to implement digital signal processing algorithms
on a FPGA for the analysis of power quality disturbances. The motive for choosing the
FPGA was that it allowed a processor, used for lower demanding processing tasks, and
dedicated hardware, used for time-critical operations, to be integrated into a single
integrated circuit. The implementation of these algorithms in dedicated hardware permitted
obtaining high-resolution measurements and the exploitation of parallelism to increase the
quantity of information available to the user. The FPGA is a versatile component, ideal to
implement the reconfigurable power quality analyser that is upgradable in future.
The project resulted in the successful measurement of the fundamental frequency and
the magnitude of the signal at the input. The device was able to detect and measure
harmonic and inter-harmonic components. Positive and negative peak values were
measured and the root mean square value both for full-cycle and half-cycle were calculated
making stationary signal variation evaluation possible. Time aggregation of values was
also done. The generation of an internal signal made it possible for the comparison with the
input signal, resulting in event isolation for further verification and classification by the
controller.
Description
Keywords
Energia FPGA Monitor Perturbações Qualidade Variações