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Operational-based techno-economic PMU installation approach using grey wolf optimisation algorithm (GWOA)

机译:使用灰狼优化算法(GWOA)的基于运营的技术经济型PMU安装方法

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摘要

Phasor measurement units (PMUs) are currently the most useful devices to obtain fast, precise, and synchronised measurement data. Owing to the high cost of installation, the minimum number of PMUs required for the full observability of a network must be determined. However, power companies do not consider such optimal PMU installation (OPI), because their main concerns are preventing cascaded tripping and secure grid separation, for which critical buses (CBs) should be prioritised for direct observability. In practice, utility grids (UGs) may lose their full observability status during islanding, which the OPI problem should account for. On the other hand, actual bus-to-bus variations in the PMU installation cost are not properly addressed in the PMU installation problem. Considering these practical aspects, an operational-based multiphase PMU installation approach is proposed here using the grey wolf optimisation algorithm for CB prioritisation. A PMU cost minimisation-based OPI problem that considers the full observability of each UG during islanding is formulated. To determine quality outputs, logical and unique mathematical equations are developed. A novel multiple bus selection approach is proposed for a phase-wise bus assortment. The results of the proposed algorithm are compared with those of other existing methods.
机译:相量测量单元(PMU)当前是获取快速,精确和同步测量数据的最有用的设备。由于安装成本高昂,必须确定网络的完全可观察性所需的最少PMU数量。但是,电力公司不考虑这种最佳PMU安装(OPI),因为它们的主要关注点在于防止级联跳闸和安全的电网分离,为此,应优先考虑关键总线(CB)的直接可观察性。在实践中,公用电网(UG)可能会在孤岛状态期间失去其完整的可观察性状态,这是OPI问题所应解决的。另一方面,在PMU安装问题中,PMU安装成本中实际的总线间差异并没有得到适当解决。考虑到这些实际方面,在此提出了一种基于操作的多阶段PMU安装方法,该方法使用灰狼优化算法进行CB优先级排序。提出了一个基于PMU成本最小化的OPI问题,该问题考虑了孤岛期间每个UG的完全可观察性。为了确定质量输出,开发了逻辑和独特的数学方程式。提出了一种新颖的多母线选择方法,用于相序母线分配。将该算法的结果与其他现有方法进行了比较。

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