Probabilistic power flow using novel wind and solar probabilistic models

Renewable based distributed generators are being used extensively owing to the benefits they offer for both utilities and investors. With the spread of these DGs in power systems, A precise model that follows the stochastic behavior of wind or solar is crucial for power system planning and operation. This paper presents novel probabilistic models for wind and solar based generators. These models give the output power from wind or solar in per unit from their rating with one continuous PDF. The goodness-of-fit tests are used to find the best fit PDF to model wind and solar output power. The Well-known forward-backward-sweep power flow algorithm is integrated with the proposed wind and solar probabilistic models to form a probabilistic power flow tool. The proposed probabilistic power flow tool is used to analyze the PG&E 69-bus system.