Hu Yi, Luo Jinglin, Yan Kailin, Wang Tao, Zeng Qingzhu, Huang Tao
School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China.
Department of Energy, Politecnico di Torino, 10129 Turin, Italy.
Entropy (Basel). 2024 Aug 15;26(8):689. doi: 10.3390/e26080689.
With the integration of large-scale wind power into the power grid, the impact on system stability, especially the issue of low-frequency oscillations caused by small disturbances, is becoming increasingly prominent. Therefore, this paper proposes a damping quantitative analysis method for regional interconnected power systems incorporating large-scale wind power. Using the cross-entropy particle swarm optimization (CE-PSO) algorithm, the control parameters of wind turbines are optimized to suppress low-frequency oscillations in interconnected systems. The method begins with the state equation of the interconnected power system in two regions; it deduces the characteristic polynomial of the interconnected system, including wind farms, and takes into account the influence of wind power integration on the electrical connectivity of the system. Subsequently, the influence of wind turbine control parameters on the system is quantified, and a quantitative analysis model of the impact of wind power integration on system damping characteristics is constructed. Based on this, an optimization model for wind turbine control parameters is established, and the CE-PSO algorithm is utilized to achieve suppression of low-frequency oscillations in interconnected power grids with wind power integration. Finally, the accuracy and effectiveness of the proposed method are verified through a typical electromagnetic transient simulation model of the two-region interconnected power system.
随着大规模风电接入电网，其对系统稳定性的影响，尤其是小干扰引起的低频振荡问题日益突出。因此，本文提出了一种针对含大规模风电的区域互联电力系统的阻尼定量分析方法。利用交叉熵粒子群优化（CE - PSO）算法对风力发电机组的控制参数进行优化，以抑制互联系统中的低频振荡。该方法从两区域互联电力系统的状态方程出发，推导含风电场的互联系统的特征多项式，并考虑风电接入对系统电气连接性的影响。随后，量化风力发电机组控制参数对系统的影响，构建风电接入对系统阻尼特性影响的定量分析模型。在此基础上，建立风力发电机组控制参数的优化模型，并利用CE - PSO算法实现对含风电接入的互联电网低频振荡的抑制。最后，通过两区域互联电力系统的典型电磁暂态仿真模型验证了所提方法的准确性和有效性。
