access icon free Probabilistic evaluation of available load supply capability of distribution networks as an index for wind turbines allocation

© The Institution of Engineering and Technology
Received 03/08/2015, Accepted 02/07/2016, Revised 26/04/2016, Published 21/07/2016

This study deals with placement of wind turbines in distribution networks for maximising the probabilistic index of load supply capability (LSC). To calculate this index, one of the most accurate and efficient probabilistic simulation methods known as Latin hypercube sampling is used. Variations of load and output power of wind turbines are considered in the probabilistic evaluation of LSC. Moreover, the constraints of maximum voltage drop and current carrying capacity of conductors are considered as the limiting factors of the network LSC. Since there is a correlation between the network load and the output power of wind turbines, considering this correlation in simulations will push the results closer to reality. Therefore, the Cholesky decomposition approach is used to take into account the correlation between the input variables of the problem. Casestudiesare carried out on the 33-bus IEEE distribution network. The results of case studies demonstrate the effectiveness of the proposed methodology.

Inspec keywords: wind turbines; distributed power generation; sampling methods; probability; conductors (electric)

Other keywords: LSC; 33-bus IEEE distribution network; Latin hypercube sampling; distribution networks; voltage drop constraints; available load supply capability probabilistic evaluation; probabilistic index; probabilistic simulation methods; conductor current carrying capacity; Cholesky decomposition approach; wind turbine allocation

Subjects: Wind power plants; Distributed power generation; Other topics in statistics

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