THE PROBABILISTIC TRANSIENT STABILITY USING MONTE-CARLO SIMULATION

초록

This paper proposes a probabilistic evaluation to evaluate the transient stability of electrical power systems. The uncertainties of the fault location and relay operation time play important keys in probabilistic power system instability evaluations. Monte-Carlo simulation methods for probabilistic transient stability study obtain the result by collecting and analyzing sample data based on statistical experiments. Non-sequential simulation called random sampling is applied for probabilistic transient stability. Planning or operational engineers are interested in transient stability study in as much detail as possible and in studying as many contingencies as possible. This method is demonstrated by WSCC test system by means of Monte Carlo simulation.