This paper presents the design and implementation of the two stage self-synchronized adaptive linear neural (S-ADALINE) network based novel approach for the measurement of electrical power components according to IEEE Standard 1459-2010. In the first stage, the current and voltage signals are processed to extract the harmonic information, whereas in the second stage, the power components are calculated using these results. The simulation results show that the proposed algorithm provides better performance than the conventional ADALINE and Newton type algorithm (NTA). A simple laboratory setup implemented by MATLAB and dedicated hardware is built to verify the performance of the proposed algorithm in real time applications. The framework of laboratory prototype has been given out and the necessary modification in proposed algorithm for on-line implementation has been discussed.

Full text: IJEIR_2239_FINAL.pdf