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Filters: Author is Jaiswal, Prajwal Kumar  [Clear All Filters]
2020-06-26
Jaiswal, Prajwal Kumar, Das, Sayari, Panigrahi, Bijaya Ketan.  2019.  PMU Based Data Driven Approach For Online Dynamic Security Assessment in Power Systems. 2019 20th International Conference on Intelligent System Application to Power Systems (ISAP). :1—7.

This paper presents a methodology for utilizing Phasor Measurement units (PMUs) for procuring real time synchronized measurements for assessing the security of the power system dynamically. The concept of wide-area dynamic security assessment considers transient instability in the proposed methodology. Intelligent framework based approach for online dynamic security assessment has been suggested wherein the database consisting of critical features associated with the system is generated for a wide range of contingencies, which is utilized to build the data mining model. This data mining model along with the synchronized phasor measurements is expected to assist the system operator in assessing the security of the system pertaining to a particular contingency, thereby also creating possibility of incorporating control and preventive measures in order to avoid any unforeseen instability in the system. The proposed technique has been implemented on IEEE 39 bus system for accurately indicating the security of the system and is found to be quite robust in the case of noise in the measurement data obtained from the PMUs.