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Impact of Grid Integrated Energy Storage Systems with Phasor Measuring Units for Secured Data Control Using Metaheuristic

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dc.contributor.author Teekaraman, Yuvaraja
dc.contributor.author Kirpichnikova, Irina
dc.contributor.author Manoharan, Hariprasath
dc.contributor.author Kuppusamy, Ramya
dc.contributor.author Radhakrishnan, Arun
dc.date.accessioned 2023-11-14T06:24:21Z
dc.date.available 2023-11-14T06:24:21Z
dc.date.issued 2022-05-17
dc.identifier.uri https://repository.ju.edu.et//handle/123456789/8851
dc.description.abstract In this article, malleable determinations have been made by integrating solar panels in the field of Power System State Estimation (PSSE) where the optimal placement using Phasor Measuring Units (PMUs) plays a major role in the integration process. This kind of integration provides a path for determining the importance of PMU and converting the grid to be smart. In preceding, methods of PSSE researchers were not able to demonstrate the smart grid process due to failure of integrating solar cells. Thus, the integrated solar cells in the proposed method can be able to detect the presence of false data and secure the identified data using a Data Management Systems (DMS). In addition, the DMS estimates a particular state during a certain period of time thus creating an external awareness about communicating devices. Moreover, the process of PSSE with solar cells and PMU placement mechanism functions effectively using a metaheuristic Ant Lion Optimization (ALO) where two fundamental scenarios are considered and simulated using MATLAB. The simulation results indicate that the proposed method provides satisfactory simulation results for about 67% when compared to existing method. en_US
dc.language.iso en_US en_US
dc.title Impact of Grid Integrated Energy Storage Systems with Phasor Measuring Units for Secured Data Control Using Metaheuristic en_US
dc.type Article en_US


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