Resonance Area-Based PMSG Controller Optimization Under Energy Scenario Variations

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This paper proposes a resonance area-based controller optimization (RAC) scheme to analyze dynamic interactions between a permanent magnet synchronous generator (PMSG)-based wind farm and a multi-machine system under various energy scenarios. Under proposed RAC scheme, firstly, the variations of system energy scenarios are captured in an established system small-signal stability model. Secondly, a resonance area (RA) is proposed to identify the overlapping eigenvalue areas of the two open-loop subsystems, which indicate high probabilities of system strong modal resonances. Then, a resonance strength index (RSI) is designed to evaluate the intensity of such modal resonances. Based on RSI, to prevent potential modal resonances, an automatic PMSG parameter optimization method is proposed to cope with energy scenario variations by withdrawing the PMSG modes out of the RAs. As verified by the simulation results using the IEEE 118-bus benchmark model, the proposed RAC scheme can thoroughly capture modal resonances between two subsystems under various system energy scenarios, and effectively avoid potential modal resonances through PMSG control parameter optimizing.

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