An adaptive Zhang neural network controller for frequency control of renewable energy integrated system
This paper proposes a Zhang neural network (ZNN) designed self-adaptive proportional-integral-derivative (PID) controller for frequency control of renewable energy integrated systems. The network is formulated to minimize the error function that minimizes the area control error of the integrated sys...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
IEEE
2022
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