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引用次数: 0
摘要
为增强光伏逆变器对新能源微电网系统的支持能力,并网控制技术受到广泛关注,其中虚拟同步发电机(VSG)成为研究前沿。本文将混合储能系统与光伏发电相结合,为系统提供稳定的电压支持和功率补偿。此外,利用传统 VSG 中虚拟参数 J 和 D 的可变性,提出了一种基于模糊算法的自适应并网光伏逆变器控制策略。此外,为了减少孤岛运行期间负载瞬变引起的频率偏差,还引入了基于频率功率限制的自适应下垂系数。最后,在并网和孤岛条件下进行了仿真,比较了三种控制方法:固定参数控制、传统自适应控制和所提出的自适应模糊控制。结果表明,将自适应下垂系数与模糊控制相结合可有效提高微电网的频率稳定性和动态响应能力。
Adaptive grid-forming photovoltaic inverter control strategy based on fuzzy algorithm
In order to enhance the support capability of photovoltaic inverters for new energy microgrid systems, grid-forming control technology has attracted widespread attention, with Virtual Synchronous Generator (VSG) emerging as a research frontier. This paper integrates hybrid energy storage systems with photovoltaic generation to provide stable voltage support and power compensation for the system. In addition, leveraging the variability of the virtual parameters J and D in traditional VSGs, an adaptive grid-forming photovoltaic inverter control strategy based on fuzzy algorithm is proposed. Furthermore, to reduce the frequency deviation caused by load transients during islanding operation, an adaptive droop coefficient based on frequency power limits is introduced. Finally, simulations are conducted under grid-connected and islanded conditions to compare three control methods: fixed parameter control, traditional adaptive control, and the proposed adaptive with fuzzy control. The results demonstrate that integrating adaptive droop coefficients with fuzzy control can effectively improve the frequency stability and dynamic response capability of microgrids.
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