A power quality‐based framework for optimal siting and sizing of wind turbines by search space reduction via power losses and flicker emission sensitivity indices

As a well-established renewable energy resource, wind is being widely used in distribution networks. However, flicker emission produced by turbines (WTs) one of the main disadvantages which may cause serious problems during system operation. Power quality-based optimal allocation (siting and sizing) WTs an appropriate way to mitigate emission. Since planning issue high dimensional complex optimization problem methods suffer from premature convergence, search space reduction be effective approach optimally solve problem. Here, determine importance network buses, two indices, namely, power loss index (PLI) (FEI) are introduced sensitivity losses allocate WT on each bus. Then, based proposed number important buses identified solved with respect these buses. Over case study, it can drawn that considerably affects Moreover, efficient