
EEC-976
Course Code
5 Days
Duration
4
Upcoming Dates
Sector Name
Electric Power System
Power System Stability denotes the ability of an Electric Power System, for a given initial operating condition, to regain a state of Operating Equilibrium after being subjected to a physical disturbance, with most system variables bounded so that system integrity is preserved. Integrity of the system is preserved when practically the entire Power System remains intact with no tripping of Generators or Loads, except for those disconnected by isolation of the faulted elements or intentionally tripped to preserve the continuity of Operation of the rest of the System. Stability is a condition of equilibrium between opposing forces; instability results when a disturbance leads to a sustained imbalance between the opposing forces.
Because of the high dimensionality and complexity of Stability Problems, it is essential to make simplifying assumptions and to analyze specific types of Problems using the right degree of detail of System Representation. The Power System is a highly nonlinear system that operates in a constantly changing environment; loads, generator outputs, topology, and key operating parameters change continually. When subjected to a transient disturbance, the stability of the system depends on the nature of the disturbance as well as the initial operating condition.
This course will assist power system professionals in planning for tomorrow’s dispatch as well as dispatching the generating units in the intraday. The economic dispatch under system constraints represents the building block in the operation and planning of the power system. The mechanism of the adaptation of the economic dispatch in a deregulated market environment is also discussed. The Optimal Power Flow module is an intelligent load flow that employs techniques to automatically adjust the power system control settings while simultaneously solving the load flows and optimizing operating conditions within specific constraints. The real-time Optimal Power Flow has been discussed.
01 Nov 2026 – 05 Nov 2026
Riyadh, KSA
03 Nov 2026 – 05 Nov 2026
London, England
03 Nov 2026 – 05 Nov 2026
London, England
08 Nov 2026 – 12 Nov 2026
Salalah, Oman







