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Generation Equivalence Index (GEI) to assign low-order models to synchronous generators in voltage security assessment based on dynamic simulation
International Journal of Electrical Power & Energy Systems ( IF 5.0 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.ijepes.2020.106274
Siavash Yari , Hamid Khoshkhoo , S. Mohammad Shahrtash

Abstract This paper proposes a novel method, suitable for online applications, which is able to identify those synchronous generators (SGs) that can be presented by low order models in dynamic voltage stability assessment when an outage occurs. The proposed identification algorithm is based on a novel Generation Equivalence Index (GEI) and deciding according to its value about model reduction. The proposed GEI determines a critical electrical distance so that those SGs with farther electrical distance from the disturbance location can be represented by a simple two-order model and other ones should be modeled precisely to accurately assess the dynamic voltage stability status. Obviously, in any interconnected large scale power system, determination of such a criterion reduces the computational burden of time domain simulations performed for voltage stability assessment and eliminates the need for applying dynamic data of all SGs. The dynamic simulation results performed in Nordic32, IEEE 39-bus, and IEEE 118-bus test systems using DIgSILENT PowerFactory software verify the efficiency of the proposed approach.

中文翻译:

在基于动态模拟的电压安全评估中为同步发电机分配低阶模型的发电等效指数(GEI)

摘要 本文提出了一种适用于在线应用的新方法,该方法能够在发生停电时在动态电压稳定性评估中识别可以由低阶模型呈现的同步发电机(SG)。所提出的识别算法基于一种新的生成等效指数 (GEI),并根据其值决定模型约简。所提出的 GEI 确定了一个临界电气距离,以便那些距离干扰位置更远的电气距离可以用一个简单的二阶模型来表示,其他的应该精确建模以准确评估动态电压稳定状态。显然,在任何互联的大型电力系统中,这种标准的确定减少了为电压稳定性评估执行的时域模拟的计算负担,并消除了应用所有 SG 的动态数据的需要。使用 DIgSILENT PowerFactory 软件在 Nordic32、IEEE 39 总线和 IEEE 118 总线测试系统中执行的动态仿真结果验证了所提出方法的效率。
更新日期:2020-12-01
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