Evaluates transient performance in DC systems, suggesting an effective optimization method.
To address the difficulty in quantitatively analyzing the impact of various control loops on the transient stability of DC sending-end systems under N–m contingencies, this paper proposes a transient stability analysis and transient performance optimization method for multi-source DC systems. First, detailed transient energy models of the source side and the DC side are established, through which the evolution laws of transient energy in each subsystem are revealed. Based on this, interaction energy components that characterize the influence of different control loops on system stability are extracted. Then, the effect of variations in key control parameters on system stability is quantitatively evaluated using the transient energy interaction intensity. Furthermore, combined with parameter sensitivity analysis, a parameter optimization strategy is developed with the objective of minimizing energy accumulation, subject to constraints on stability requirements and non-degradation of transient performance. The global optimal control parameters are obtained using the Improved Butterfly Optimization Algorithm (IBOA). Finally, real-time hardware-in-the-loop simulations on the RT-LAB platform demonstrate that the proposed method effectively suppresses energy accumulation and achieves simultaneous improvement in transient performance and system stability.
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Xu et al. (2026) studied this question.
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