2022
DOI: 10.1109/tpwrd.2022.3171708
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Adaptive Multi-Parameter-Tuning for Online Stabilization Control of Grid-Tied VSC: An Artificial Neural Network-Based Method

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Cited by 8 publications
(2 citation statements)
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“…To compare the computational burden of the proposed approach with the one presented in [46], a personal computer with the specification: Intel(R) Core(TM) i7-8665U CPU @ 1.90GHz, 2.11 GHz, and 16 GB RAM is used. The results show that the CPU time for one period of the PI controller [48], MPC controller [46], and the proposed approach are about 2µs, 50µs, and 30µs, respectively.…”
Section: A Simulation Verificationmentioning
confidence: 99%
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“…To compare the computational burden of the proposed approach with the one presented in [46], a personal computer with the specification: Intel(R) Core(TM) i7-8665U CPU @ 1.90GHz, 2.11 GHz, and 16 GB RAM is used. The results show that the CPU time for one period of the PI controller [48], MPC controller [46], and the proposed approach are about 2µs, 50µs, and 30µs, respectively.…”
Section: A Simulation Verificationmentioning
confidence: 99%
“…The PI controller is tuned based on the method presented in the appendix section of Ref. [48]. In more detail, For converter control: K pc = 2α c L f , and K ic = (α c / c ) 2 L f For PLL control: K ppll = 2 × α pll /V p , and K ipll = (α pll / pll ) 2 /V p where α c = 300, α p ll = 20, c = pll = 1, and V p is the peak value of the grid voltage.…”
Section: Comparisonmentioning
confidence: 99%