Risk Evaluation of Generation-Load System Based on Monte Carlo Method and Fast Clustering Analysis Method

Generation-load system risk indicators are important indicators which measure power system's adequacy. Presently, the references of calculation of Generation-load system risk indicators are rare. This paper applies Monte Carlo to simulate the generator's working state and fast clustering analysis to classify the loads' data to estimate Generation-load System risk indicators. Then, with the IEEE RTS-6-bus system as an example, its results prove the algorithm to be effective.