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• W3099463468 abstract "This article presents a novel attempt to fine-tune all proportional-integral (PI) controllers of all power electronic circuits based on the salp swarm algorithm (SSA) to enhance both dynamic and transient stability of grid-tied wave energy conversion systems (WECSs). The WECS is based on the Archimedes wave swing unit that is connected with a permanent magnet synchronous generator. It is connected to the grid through a generator side converter (GSC) and a grid-side inverter (GSI). The GSC is controlled to minimize the generator power loss and maximize its power output. The GSI is controlled to maintain the terminal voltage and dc-link voltage via a cascaded control approach. Optimal PI controllers by using the SSA are implemented in these converters. The integral square error criterion is selected as a multiobjective function. The validity of SSA-based-PI controllers is verified by comparing their results with that achieved by genetic algorithm-based-PI controllers at severe disturbance of the power grid. To achieve a realistic study, measured wave pressure data extracted from a Portugal wave power plant are implemented in the dynamic analyses. The effectiveness of SSA-based PI controllers is tested under uncertainty of the real wave pressure of such WECSs. The dynamic studies are extensively performed using PSCAD/EMTDC program." @default.
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• W3099463468 date "2022-03-01" @default.
• W3099463468 modified "2023-09-25" @default.
• W3099463468 title "Dynamic Stability Improvement of AWS-Based Wave Energy Systems Using a Multiobjective Salp Swarm Algorithm-Based Optimal Control Scheme" @default.
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• W3099463468 doi "https://doi.org/10.1109/jsyst.2020.3034277" @default.
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