针对大规模新能源接入后电力系统电压安全问题突出、快速评估困难的问题,文中以电力系统广域相量测量系统(Wide Area Measurement System,WAMS)为数据平台,在具有完备数学基础的无功电压灵敏度及分叉理论的基础上,建立了基于自然摄动的电力系统静态电压评估指标体系,根据WAMS获取的自然激励下的同步无功及电压响应数据,采用最小二乘法拟合计算无功电压灵敏度,并引入加权平均值算法对一段时间内的灵敏度结果进行统计,以提高拟合后的无功电压灵敏度准确性和可靠性.在DIGSILENT/Power Factory仿真平台上搭建了含风电场的IEEE10机39节点系统,利用时域仿真生成同步响应数据,对比不同运行情况下的灵敏度拟合结果与实际无功裕度,验证了文中静态电压安全评估方法的有效性.
Data-driven OnlineVoltage Stability Evaluation for Renewable Energy Power Systems
With the rapid development of new energy,the difficulty of solving voltage stability problems in new power systems has increased,and traditional evaluation methods are no longer able to meet real-time and accurate requirements.Based on the Q-V curve theory,a sensitivity index for voltage stability evaluation of a new type of power system connected to the wind turbine grid has been established in the article.Firstly,the power system flow equation is used to calculate and analyze the changes in reactive power and voltage amplitude of the load,and sensitivity indicators are classified according to the results.Then,a weighted average algorithm is introduced to fit the sensitivity data over a period of time,and the fitted values are used to represent the sensitivity of the load during that period.Finally,the DIGDILENT simulation platform was used to conduct simulation verification on the IEEE 10 machine 39 node system.By comparing the sensitivity index and reactive power margin under different operating conditions,the effectiveness of this index in evaluating the voltage stability of the new power system was verified.
new power systemstatic voltage stabilitysaddle node bifurcation pointQ-V curvereactive power margin