Probabilistic dynamic load flow with correlated wind sources

Abstract

Correlation among different wind sources brings great challenge to probabilistic load flow (PLF) calculation, especially when different wind sources are not normal jointed. In addition, the fluctuation of wind energy output will aggravate the variation of the system unbalanced power, which makes it inappropriate to allocate all unbalanced power to a slack bus. In order to overcome the drawbacks of the existing methods, a probabilistic dynamic load flow (PDLF) model based on the joint-moments method (JMM) is proposed. Different from the existing approaches, JMM can deal with different correlations among wind sources, which do not limit to normal jointed ones. Furthermore, this model can take the influence of the static power-frequency characteristic (SPFC) of generators and load into consideration, through which the probability distribution of the system frequency can also be obtained. The proposed algorithm was proved to be effective and accurate by applying it to the IEEE 30-bus system and the IEEE 300-bus system.

Bulk power system availability assessment with multiple wind power plants

“…However, as these sources dependent on the climatic conditions of the region, the power generated will have a randomly behavior. Therefore, this behavior introduces uncertainties in the performance of bulk power systems [1,2].…”

Probabilistic Load Flow Algorithm of Distribution Networks with Distributed Generators and Electric Vehicles Integration

“…With distributed explored. A probabilistic dynamic load flow (PDLF) model based on the Joint-Moments Method (JMM) was proposed in [20]. In comparison to existing approaches, JMM permits different correlations among wind sources, thus overcoming the limits of normal jointed sources.…”