基于改进粒子群算法的风电并网的无功优化研究

Reactive Power Optimization of Wind Power Integration Based on Improved Particle Swarm Optimization Algorithm

随着大规模风电接入电网,风电并网对电力系统稳定性的影响不容忽视。大规模风电并网一般对系统电压和网络损耗有显著影响,因此总结了风力发电对电能质量的影响机理,从潮流计算的角度充分考虑了风力机的特性,提出了风电机组节点的处理方法,总结了无功优化的作用及数学模型,并介绍了粒子群算法,指出了该算法的缺陷及改进方案,并通过IEEE 9节点系统验证了改进算法的有效性。

With the large-scale wind power integration, the impact of wind power access on the power system can not be ignored. Large-scale wind power Grid-connected generally has a significant impact on the system voltage and network loss, and the generation mechanism of wind farm impact on power quality is summarized; from the point of view of power flow calculation, the characteristics of wind turbine are fully considered, the treatment method of wind turbine node is proposed, the role of reactive power optimization and mathematical model are summarized, and the particles are analyzed. The characteristics of the group algorithm are given. The defects of the algorithm and the improvement methods are given. The effectiveness of the algorithm is verified by the IEEE 9-node system.