The power system analysis software is used by power utilities for data analysis, modeling, and simulation of power electric systems. The software helps power utilities in the diagnostic and detection of abnormalities, and provides 24/7 access to operational data, history, and trends. The power system analysis software provides a number of benefits that help power utilities to detect various abnormalities or defects. Power system analysis software are an essential part of the electrical power system design.
The goals of power system analysis is to model or to perform
per phase analysis of the power system and its components, to analyze the
system under different fault conditions, to plan future expansion of the
current system, to monitor voltage at different buses, real and reactive power
flow between buses, to design protective devices, and to investigate the ability
of the system to handle small/large disturbances or faults of any kind. Thus,
there is an increasing demand for power
system analysis software market worldwide.
The power system analysis software is used to create
models, analyze, or calculate the design of electrical grids, power stations, transmission
towers, overhead power lines, grounding and lightning systems, and others. Simulations
and calculations are performed to verify that the power system, including
system components, are performing correctly, withstand the expected stresses,
and are protected against failures. Well-designed electric power system ensures
robust performance and maximizes plant availability under all operating
conditions.
Thus, with the increasing demand for electric power
worldwide, especially in Asia Pacific, the demand for power system analysis
software is also increasing with a rapid pace. For example, in financial year
2020-21, power requirement was 1,275.53 billion units (BU), according to the
Ministry of Power, Government of India. Ministry also informed that the peak
power demand was 2,03,014 megawatt (MW) till January 2021-2022 and it is
expected to touch 2,38,899 MW in the next financial year.