Due to environment issue, congestion in transmission network, ever growing price for energy, power quality and reliability issue with exciting grid, small pocket of grids are increasing in system. These small grid have their generation, and are dependent on main grid only for power exchange. This small grid has different behavior when it is in grid connected (constant voltage source) or in grid isolated mode (constant current source). Islanding detection is divided into two technique, i.e., remote and local. Local method is further divided in passive, active and hybrid methods, advantages in passive method are short detection time, accurate and does not perturb the system.
When islanding occurs, few parameters change which are frequency, voltage, active power, and harmonics. According to large change in one of these parameters islanding is detected. For final dissertation a comparison of conventional technique and AI technique for detection of islanding. Before implementation of AI technique for islanding detection, it is relevant to implement conventional techniques for detection of islanding. Therefore, some conventional passive methods of over/under current(OUC),over/under voltage(OUV),over/under frequency(OUF) and Rate of Change of Frequency (ROCOF) have been implemented for islanding detection of DG.
Article Details
Unique Paper ID: 145769
Publication Volume & Issue: Volume 4, Issue 11
Page(s): 1589 - 1593
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