【摘要】 近年来，随着风、光等分布式新能源在电网中的渗透率增加，导致电网惯性下降，频率稳定性恶化。虚拟同步发电机(virtual synchronous generator, VSG)模拟了同步发电机的控制策略，能有效缓解电网惯性下降频率恶化问题。由于虚拟同步发电机是以算法形式模拟同步发电机控制，具有很高的灵活性。提出一种基于线性变化学习因子的粒子群优化算法来自适应优化虚拟转动惯量和阻尼参数，优化系统的动态性能。最后，在matlab/simulink上搭建系统仿真模型对所提策略进行验证。更多还原

【Abstract】 In recent years, with the increase in the permeability of distributed new energy such as w-ind and light in the power grid, the inertia of the power grid has decreased and the frequency stability has deteriorated.virtual synchronous generator simulates the control strategy of synchronous genera-tor, which can effectively alleviate the deterioration of the frequency of grid inertia decline.Because the virtual synchronous generator is an algorithm to simulate the control of the synchronous generat-or, it has high flexibility.In this paper, a virtual moment of inertia and damping parameter adaptive method based on linear change learning factor particle swarm optimization algorithm is proposed, which can improve the dynamic performance of the system.Finally, the system simulation model is built on matlab/simulink to verify the proposed strategy.更多还原