Summary The new power system stabilizer PSS4B demonstrates good performance on suppressing low‐frequency power oscillation. However, the numerous interdependent parameters make their tunings rather difficult. In this paper, a modified particle swarm optimization algorithm is applied to tune the parameters of PSS4B. The influence level of each block for the frequency characteristic is different. Hence, there are 2 steps for the optimizing parameters in this paper. The first step optimizes the parameters of hybrid block and gain block, and the parameters of lead‐lag block are optimized in the second step. To evaluate the effectiveness of the proposed method, several simulations are performed under very challenging conditions by MATLAB/Simulink. Moreover, the simulation results are compared with the conventional tuning method. The comparison indicates that the proposed method can provide damping characteristics and suppress low‐frequency power oscillation effectively.

Summary Frequency stability is vital for the operation stability of power system. The total equivalent rotational inertia of power system decreases relatively upon large‐scale penetration of wind power and threaten its frequency stability further. This paper analyzes the inertia support capacity of doubly fed induction generator and proposes a modified virtual inertia control strategy based on power‐frequency response by improving the conventional control strategy. For each specific case, a corresponding control scheme is chosen. Besides, the rotor speed is protected by a control module associated with the secondary frequency regulation. Finally, an IEEE 14‐bus system with doubly fed induction generator is established in DIgSILENT/PowerFactory simulation software, to verify the effectiveness of the proposed control method, which can respond to the frequency changes rapidly and effectively inhibit the frequency fluctuations caused by load changes and wind energy fluctuation.

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