A new approach to determining the local boundaries of voltage stability region in power injection space (IVSR) for power system with wind farms is presented. It can be used for power system voltage stability analysis and on-line security assessment with considering the output uncertainty of the wind farms. Firstly, power flow tracing and double dispatching are used to determine the generators that are closely related to the wind farms, in order to balance the power fluctuations caused by the wind speed variation. Then, modal analysis is used to get the key generators to achieve an effective dimension reduction for IVSR. Finally, the forecasting output power (or wind speed) of wind farms is divided into several intervals. For each interval, the corresponding local IVSR boundaries can be calculated by the method based on small disturbance. Moreover, parallel process is used to accelerate the computing speed. The presented approach is validated by several power systems. It can be revealed that the approach can give the local IVSR boundaries at different wind speeds and has a good engineering application prospect.
MU YunFei & JIA HongJie Key Laboratory of Power System Simulation and Control of Ministry of Education, Tianjin University, Tianjin 300072, China
提出了一种可应用于大规模电网电压稳定在线监测快速计算的简化L指标及其L-Q灵敏度分析新方法。针对实际电网的特点,以局部电压稳定指标(L指标)为基础,推导出负荷节点简化L指标。在此基础上,给出了简化L指标的全微分方程,借助全微分方程分析系统参数变化对电压稳定的影响;定义了电力系统L-Q灵敏度,定量分析了网络中负荷节点间的电压稳定相互影响关系,研究了不同电压失稳模式所涉及的区域划分,并就L-Q的物理意义进行了全面分析;比较了L-Q灵敏度分析方法与V-Q灵敏度分析方法的异同,给出了L-Q灵敏度分析方法的具体计算步骤。最后,将所提出的方法应用于New England 39节点、IEEE 118节点和IEEE 300节点系统中,算例仿真结果证明了所述方法的可行性和有效性。
In the traditional power transmission network planning,deterministic analysis methods are widely used.In such methods,all contingencies are deemed to have the same occurrence probability,which is not reasonable.In this paper,risk assessment is introduced to the process of transmission network planning considering the probabilistic characteristics of contingencies.Risk indices are given to determine the weak points of the transmission network based on local information,such as bus risk,line overload risk,contingency severity.The indices are calculated by the optimal cost control method based on risk theory,which can help planners to quickly determine weak points in the planning and find solution to them.For simplification,only line overload violation is considered.Finally,the proposed method is validated by an IEEE-RTS test system and a real power system in China from two aspects.In the first case,the original system is evaluated by the proposed method to find the weak points,and then four planning schemes are established,among which the best scheme is selected.In the second case,four initial planning schemes are established by combining the experiences of planners,and after the evaluation by using the proposed method,the best planning scheme is improved based on the information of weak points in the initial schemes,and the risk of improved scheme is reduced from 42 531.86 MW·h per year to 4 431.26 MW·h per year.