Abstract:
This research study examines the integration of wireless system and solar cells for detection and loca tion of faults in power grids by implementing minimum number of Phasor Measurement Units (PMUs)
after considering zero injection buses. A fault in the grid networks indicates a failure in the entire
network that interfaces the normal flow of current which can be measured using wireless systems.
The fault location in power grid is problematic because of high existence in several lateral tap-offs.
In addition, the identification of exact location with presence of faults in the power system and severity
of the faults are challenging tasks due to bulk and complex nature of the electrical power system state
estimation. The major requirement of PMU placement approach is to find the minimum number of
PMUs and their location with maximum wireless coverage under fault conditions with a prerequisite
for the projected algorithm. The integrated algorithm is tested and validated for different fault condi tions where the results are compared with different conventional methods using different optimization
models such as heuristics, decision rules and mathematical programming where the outcomes proves
to be much effective in terms of number of PMU installation for proper placements and detection,
location in number of fault systems thus achieving 82% reliability using Ant Lion Optimizer (ALO).
