By analyzing various combinations of failures of power system components based on state estimates, the Energy Management System assesses the impact of the failures. In addition to being extensively used for market feasibility testing, massive contingency analysis is also used in power market operations. Because power grids today have a smaller margin and more intermittent renewable energy sources, a brief analysis of more cases is needed to operate safely and reliably.
Taking advantage of the latest computer industry advances, high-performance computing promises to meet the needs of power plants. It investigates the potential for massive contingency analysis using high-performance computing. It is established that liquor-xrdquo contingency analyses can be performed, and computational load-balancing schemes can be studied and implemented on high-performance computers.
This paper presents case studies of massive 300,000-contingency-case analyses using the power grid model developed by the Western Electricity Coordinating Council to illustrate how high-performance computing can be applied and how computational load-balancing schemes and frameworks work. An electrical energy network must conduct contingency analyses to operate safely.
In a power system, contingencies may occur during steady-state operation. Repeated load flow solutions are used to conduct a contingency analysis for each list of possible component failures. This process must cover all possible contingencies and must be repeated whenever a significant change occurs in the load or structure of the system.
There have already been several approximate methods proposed for real-time static security analysis of power systems. Conventional methods are tedious and time-consuming, which aren’t desirable for real-time applications. Despite reducing computational effort, these methods may need to classify system contingencies correctly. The goal of power systems is to avoid overloads in real time and under statistically likely circumstances. Maintaining security is often referred to as maintaining security.
Power system operators can be unaware of the system’s state at any moment due to ongoing state insecurity, such as overloaded transmission lines, which may result in cascade outages. A contingency analysis predicts which contingencies will cause system violations and ranks them based on severity. Multiple and single outages should therefore be studied together.
To detect network weaknesses, contingency analysis is used during the network design phase and programmed maintenance or network expansions. The weaknesses can be strengthened by increasing transmission capacity, transformer ratings, and circuit breakers ratings. An AC load flow analysis can be referred to as an AC contingency analysis routine when it is used for contingency analysis.
