Abstract

AbstractIn this work, the proposed model is developed by employing a smart metre design which is done by controlling and monitoring the system frequency. This model estimates the changes in the frequency in accordance to the loading conditions of the power system, overload or under load‐conditions respectively. The estimated frequency is analysed by employing a smart metre design, which estimates the change in the system frequency caused by overload or under‐load conditions and compared with a reference frequency value set by the load dispatching unit in the control server. In this analysis, the line responsible for the frequency change are being isolated from the rest of the system or given only based on the demand power as per the priority loads. The proposed model is equipped with an embedded realistic system set along with a synchronised network and central server by using a cloud computing approach as a test bed laboratory set up. The parameters of the electric power are based on load forecasting involved for setting the required reference frequency. The model is developed with a realistic approach by developing the prototype. The work employs both software and hardware modelling with cloud interface. A complete hardware demonstration rig is developed with a smart metre design and experimental results are studied and demonstrated using cloud interface.

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