Quadrature current compensation in non-sinusoidal circuits using geometric algebra and evolutionary algorithms
Energies, 2019•mdpi.com
Non-linear loads in circuits cause the appearance of harmonic disturbances both in voltage
and current. In order to minimize the effects of these disturbances and, therefore, to control
the flow of electricity between the source and the load, passive or active filters are often
used. Nevertheless, determining the type of filter and the characteristics of their elements is
not a trivial task. In fact, the development of algorithms for calculating the parameters of
filters is still an open question. This paper analyzes the use of genetic algorithms to …
and current. In order to minimize the effects of these disturbances and, therefore, to control
the flow of electricity between the source and the load, passive or active filters are often
used. Nevertheless, determining the type of filter and the characteristics of their elements is
not a trivial task. In fact, the development of algorithms for calculating the parameters of
filters is still an open question. This paper analyzes the use of genetic algorithms to …
Non-linear loads in circuits cause the appearance of harmonic disturbances both in voltage and current. In order to minimize the effects of these disturbances and, therefore, to control the flow of electricity between the source and the load, passive or active filters are often used. Nevertheless, determining the type of filter and the characteristics of their elements is not a trivial task. In fact, the development of algorithms for calculating the parameters of filters is still an open question. This paper analyzes the use of genetic algorithms to maximize the power factor compensation in non-sinusoidal circuits using passive filters, while concepts of geometric algebra theory are used to represent the flow of power in the circuits. According to the results obtained in different case studies, it can be concluded that the genetic algorithm obtains high quality solutions that could be generalized to similar problems of any dimension.
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