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Probabilistic assessment of distribution network capacity for wind power generation integration

Ageing network assets, forced and unforced outages, and the way the networks are operated in a deregulated market are of significant concerns to integrate wind generation. This paper proposes a novel probabilistic index to quantify the distribution network spare capacity for the integration of wind generation. The index incorporates distribution network operating characteristics into the Monte Carlo simulation through intermittency, random disturbances, and dynamic interactions and exchanges. A case study is performed incorporating diverse levels of wind capacity. The study results reveal that the index captures the network integration capacity in probabilistic terms and increase in installed capacity of wind does not necessarily reduce the distribution network spare integration capacity.