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

Abstract

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.

Enhancement of distribution network performance in the presence of uncertain parameters

“…In [36], LSC was calculated in the presence of conventional DG sources, and [37] investigated it in the presence of stochastic DG sources. In [38], wind turbine placement was addressed in order to improve the probabilistic LSC index. In this study, MCS with Latin hypercube was employed.…”

“…To calculate the LSC, the backward-forward sweep load flow [35] has been used repetitively. In [38], it was described how to calculate the LSC, where λ represents LSC.…”

A Scheme for Position and Capacity Determination of Distributed Generation Considering Load Distribution and System Voltage Stability

“…As the concept of green development has entered and implemented in the field of electricity generation, DG has occupied an increasing proportion in electricity networks, and the research focus of domestic and foreign academic circles has shifted from centralized power generation to distributed power generation [1]. Due to the characteristics of DG [2,3], unreasonable DG access schemes not only waste resources, but also lower system operation security [4,5]. Therefore, reasonably and effectively considering the problem of DG position and capacity determination is of great significance to the safe operation of distribution networks.…”