The results show the robustness of the proposed approach. It allows replacement of bad data with almost exact values. Moreover, to eliminate the bad data, sensitivity based bad data elimination approach is presented. The performance of the proposed estimator is validated on the sag and tension data obtained with simulations on PLS-CADD™. Though, designed assuming ideal leveled span configuration, it is found to work for actual operating conditions. The estimator uses the conductor temperature and tension at one end of the span as input. Using this, a reduced order, least-square based state estimator is proposed to estimate the sag in leveled span configuration. To reduce the number of sensors and identify their location a linear integer programming based optimal sensor placement approach is proposed while keeping the redundancy intact. This paper attempts to reduce the sensor requirement and estimate the sag in leveled span. PMS requires sensors on every tower as a result, sensor and data transmission requirements are high. But, due to the limitation of DMS to use ruling span method, PMS is preferred. To monitor sag, distributed (DMS) or point measurement systems (PMS) are used.
However, remote locations of the conductor limit observability of sag. Its primary intended uses are in the fields of transmission, substation and communication systems for which it has been found vastly superior to traditional nonlinear finite element programs both in performance and simplicity of use. See the complete profile on LinkedIn and discover vijayakumar’s connections and jobs at similar companies. vijayakumar has 2 jobs listed on their profile. Mechanical sag of the overhead transmission line (OTL) is a critical parameter for power system operation. It can be used both as a stand-alone program and as a plug-in to supplement the sag-tension capabilities of our PLS-CADD program. View vijayakumar V’S profile on LinkedIn, the world’s largest professional community.
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