We explore the generation of explanations for preferences based on an ordered weighted average (OWA) model aiming to favour a balanced distribution of performances relative to the different points of view. In this paper we propose explanations, correct towards the model, based on transitivity with elementary arguments such as Pareto dominance, Pigou-Dalton transfers and the preferential information (PI) given by the decision maker. We propose several heuristic-based approaches allowing to compute such explanations, confirmed by experiments on their availability and their optimal length.