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Design of Probabilistically-Robust Wide-Area Power System Stabilizers to Suppress Inter-Area Oscillations of Wind Integrated Power Systems

机译:概率鲁棒的广域电力系统稳定器的设计,以抑制风能集成电力系统的区域间振荡

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摘要

This paper proposes a systematic approach to coordinately design probabilistically-robust wide-area power system stabilizers (WPSSs) for suppressing inter-area oscillations of power systems incorporating wind power. Specifically, the operating point of the system varies stochastically due to wind power integration and each operating point corresponds to a wind power generation scenario in the steady state. Thus, the WPSSs tuned by solving a delicately formulated optimization problem can maximize the occurrence probability of scenarios where the inter-area modes possess the acceptable damping ratios, and strictly constrain their unfavorable impacts. Multiple contingencies are also directly considered. In addition, several advanced techniques are tactfully employed for accurate and efficient evaluation of occurrence probability (objective function) during the optimization so as to ensure the proposed tuning method can deal with the highly nonlinear relationships between the system eigenvalues and the steady-state power outputs of wind farms; a customized differential evolution algorithm is proposed as well to efficiently solve the formulated optimization problem. Simulations and comparisons conducted on two classic test systems with proper modifications show the effectiveness and efficiency of the proposed control design method.
机译:本文提出了一种系统方法来协调设计概率鲁棒的广域电力系统稳定器(WPSS),以抑制包含风力发电的电力系统的区域间振荡。具体地,系统的工作点由于风力发电而随机变化,并且每个工作点对应于稳态下的风力发电情况。因此,通过解决精心设计的优化问题进行调谐的WPSS可以使区域间模式具有可接受的阻尼比的情况的发生概率最大化,并严格限制其不利影响。还直接考虑了多种意外情况。此外,在优化过程中还巧妙地采用了几种先进技术来准确有效地评估发生概率(目标函数),以确保所提出的调整方法能够处理系统特征值与稳态功率输出之间的高度非线性关系。风电场;提出了一种定制的差分进化算法,以有效解决公式化的优化问题。在两个经过适当修改的经典测试系统上进行的仿真和比较显示了所提出的控制设计方法的有效性和效率。

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