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Conventional supplementary controllers (CSCs) can still be widely observed in power system utilities. This work aims to develop a modular neural block (MNB) to improve control performance and stability of CSCs-aided power systems. The proposed MNB is actually a one-to-one offline trained self-recurrent wavelet neural network (SRWNN) which can be modularity added to the PI/PD/PID/Lag-Lead controllers...
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