Determination of true harmonic current contribution
of customer using artificial neural network in power system
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With the increasing demand of the electrical energy, the power system network have become more complex and large. The increasing use of power electronics based non linear devices in today's modern power system network become a major key component at the transmission as well as the distribution level. Although these devices brought about many technical conveniences and economic profits, has led to serious concerns about source line pollution, generate harmonics & resulting impacts on the system equipments. Consequently, active power filters has been used as an effective way to compensate harmon...
With the increasing demand of the electrical energy, the power system network have become more complex and large. The increasing use of power electronics based non linear devices in today's modern power system network become a major key component at the transmission as well as the distribution level. Although these devices brought about many technical conveniences and economic profits, has led to serious concerns about source line pollution, generate harmonics & resulting impacts on the system equipments. Consequently, active power filters has been used as an effective way to compensate harmonic current. Obviously, fast harmonic current detection & generation of the compensating current are the key factors to design Active power filter. A novel approach of artificial intelligence using neural network is used for harmonic current detection in power system network due to these non linear loads is presented in this project. This project focused on the proposed methodology of the harmonic current detection in power system.
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