Agent-based Power System Time-domain Simulation Considering Uncertainty

摘要

This paper proposes a scalable and flexible framework for power system time-domain simulation considering uncertainty. In the proposed framework, the power system uncertainties, including load variation, power generation of renewable energy sources and contingencies caused by faults are modeled using agent-based simulation techniques. In addition, communication between agents are carefully dealt with. The IEEE 14-bus test system is employed to test the proposed method and the results are compared with those obtained from the conventional Monte-Carlo based method. It is illustrated that the proposed method is accurate and feasible in uncertainty analysis, and is more suitable for modern power system transient stability analysis.