Capacity value of wind power using kd tree and nearest neighbor search algorithm

Abstract

Electrical power demand is increasing cumulatively with the increase in population. Economic and environmental impacts restrict the expansion of conventional generation but prompting for intermittent wind sources due to its economic and environmental benefits. But the average capacity value of the wind power is not the same as that of the same rated conventional generation due to its intermittent nature and wind speed dependence. Several definitions of capacity value of wind power are proposed on the basis of reliability evaluation of the system. The estimation of capacity value is not easy as at hourly step wind speed is changing so the power. Therefore, a new procedure is developed here to accumulate all the information like the sequential value of wind power, their reliability indices, and the corresponding capacity values using the capacity value definitions in a single database. To search the capacity value of the wind power, the database is represented in a multidimensional k-dimensional tree and nearest neighbor search algorithm is implemented. A case study is considered to validate the proposed methodology.