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- W2912877612 abstract "Modern electrical power systems are more loaded than before and operate near the critical stability margins. Consequently, the need of increasing the power generation is an urgent requirement. In view of new generating unit selection, Superconducting Generator (SCG) is expected to be the optimal choice due to its powerful advantages. This paper presents modelling and simulation of SCG synchronized with different types conventional units in a multi-machine power system. Conventional machines are controlled using Power System Stabilizers (PSSs) in excitation control-loop. However, hybrid Posicast Input Command Shaping (PICS) and Phase-Advance-network technique is applied for the SCG at the governor control-loop. To obtain excellent optimized transient performance with reduced exhibited oscillation, the controller parameters are designed by reshaping the input signal. This is carried out by minimizing the system deviations using particle swarm optimization (PSO) algorithm. Results verify the success of the proposed control scheme to improve the stability of studied system." @default.
- W2912877612 created "2019-02-21" @default.
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- W2912877612 date "2018-12-01" @default.
- W2912877612 modified "2023-09-26" @default.
- W2912877612 title "Hybrid PICS-Phase Advance Control for SCG in a Multi-machine Power System" @default.
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- W2912877612 doi "https://doi.org/10.1109/mepcon.2018.8635272" @default.
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