Modified PMU for Power System Monitoring in Dynamic State and Effective Data Handling

Abstract

The world's modernization resulted to a sharp rise in the demand for power. Decentralized power generation and the inclusion of renewable energy sources are making power system operation more complex. As a result, power system monitoring and measurement also became more complicated. One of the main disadvantages of power system monitoring is the slower rate of the measurement and monitoring data obtained from the current power system monitoring techniques, such as Supervisory Control and Data Acquisition (SCADA) and Energy Management Systems (EMS), as they only provide a limited amount of information on the parameters of the power system. Therefore, it is necessary to improve the current power system monitoring techniques for gathering data from the power system. Phasor measurements using Intelligent Electronic Devices (IEDs) provide faster data gathering from the power system and more information about the parameters of the power system. In order to determine the phasor values of voltage, current, remaining power system operational parameters frequency, Change of Frequency (COF) and Rate of Change of Frequency (ROCOF), this IED gathers the voltage and current signal data from the power system more quickly and sends it to a software program. By using this software program, very quickly phsors, power system operational parameters are calculated.The calculated phasors gave the live representation of the power system feasible by appending a time tag to each phasor value. This is a crucial requirement for power system monitoring across a large area, leads to massive storage system of phasors and power system paprameters. To store only required and effective data and to avoid routine data storage, new storage method is proposed. This paper presents a phasor calculation technique, synchronized phasor measurements, effective data storage, and identifying of faults in the dynamic state.