A probabilistic approach to power system security assessment under uncertainty

摘要: The deepening penetration of renewable resources, such as wind and photovoltaic solar, has introduced additional uncertainty into power system operation control. This added uncertainty, together with the conventional sources loads availability resources transmission assets, makes clear limitations deterministic flow in analysis security assessment applications. Therefore, explicit consideration requires deployment probabilistic approaches so to provide ability manage wide spectrum all possible values input state variables. In this paper, we make use cumulant-based methodology account for correlations among random Extensive testing indicates good performance flow. We illustrate application on 14-bus IEEE test present a comparison result obtained by computationally more demanding Monte Carlo approach. results valuable information and, particular, insights issues associated line overloading, over-/under-voltage, critical ramping requirements from generators deep highly variable farms.