Reliability Analysis of Electric Power Systems Using an Object-oriented Hybrid Modeling Approach
For power system planners and operators, this approach integrates technical and non-technical components to assess time-dependent reliability effects, though it is an incremental extension of existing methods.
This paper proposes an object-oriented hybrid approach combining agent-based modeling with Monte Carlo simulation to assess the reliability of electric power systems, enabling calculation of conventional reliability indices and blackout frequencies. Simulations on the IEEE RTS-1996 and Swiss high-voltage grid demonstrate its applicability.
The ongoing evolution of the electric power systems brings about the need to cope with increasingly complex interactions of technical components and relevant actors. In order to integrate a more comprehensive spectrum of different aspects into a probabilistic reliability assessment and to include time-dependent effects, this paper proposes an object-oriented hybrid approach combining agent-based modeling techniques with classical methods such as Monte Carlo simulation. Objects represent both technical components such as generators and transmission lines and non-technical components such as grid operators. The approach allows the calculation of conventional reliability indices and the estimation of blackout frequencies. Furthermore, the influence of the time needed to remove line overloads on the overall system reliability can be assessed. The applicability of the approach is demonstrated by performing simulations on the IEEE Reliability Test System 1996 and on a model of the Swiss high-voltage grid.