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Comprehensive probability analysis on voltage stability of power grid with wind farm connected

机译:风电场接入电网电压稳定性的综合概率分析

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In this paper, voltage stability probabilistic analysis and critical buses identification using multiple indices were performed to power system with wind farm connected. Considering the uncertainty of wind speed, Monte Carlo method was selected to perform the probabilistic analysis. Firstly, total transfer capability (TTC) of power system under voltage stability constraint, bus voltage change index, sensitivity index of bus voltage with respect to active power, reactive power margin and sensitivity index of reactive power with respect to bus voltage were calculated by P-V curve and Q-V curve respectively. The statistic information of TTC was employed to research the impact of wind farm on voltage stability and the probability of voltage instability of power system. Integrating the four bus voltage stability indices, a comprehensive evaluation method which combined entropy method and technique for order preference by similarity to ideal solution (TOPSIS) was proposed to identify the critical buses. Furthermore, the simulation analysis basing on IEEE 10- generator-39-bus test system was carried out to reveal the impacts of wind generation uncertainty on voltage stability and TTC, and to demonstrate the practicability of the proposed identification method.
机译:在本文中,对带有风电场的电力系统进行了使用多个指标的电压稳定性概率分析和关键总线识别。考虑到风速的不确定性,选择蒙特卡罗方法以进行概率分析。首先,通过PV计算电压稳定性约束下,电压稳定性约束,总线电压变化指数,母线电压的灵敏度指数,相对于总线电压的无功功率余量和灵敏度指数的母线电压的灵敏度指数的总传递能力(TTC)进行PV曲线和QV曲线分别。采用TTC的统计信息来研究风电场对电力系统电压稳定性的影响及电力系统电压不稳定性的影响。建议集成四个总线电压稳定性指标,提出了一种综合评价方法,该方法组合了熵方法和通过相似性与理想解决方案(TOPSIS)的顺序偏好的技术,以识别临界公交车。此外,对IEEE 10-发电机-39总线测试系统的仿真分析是在电压稳定性和TTC上的影响对电压稳定性和TTC的影响,并证明所提出的识别方法的实用性。

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