Among distribution network planning (DNP) problems, medium voltage (MV) to low voltage (LV) transformer allocation is one of the most important and challenging ones. This article presents a multi‐objective optimization framework for solving MV/LV transformer allocation problem considering two goals: power losses and investment cost. Transformer allocation problem has been solved in three scenarios: (1) base case, (2) mid‐term planning, and (3) long‐term planning. In order to effectively and efficiently solve this nonlinear problem, multi‐objective crow search algorithm (MOCSA) and multi‐objective particle swarm optimization (MOPSO) have been applied and compared in terms of Pareto front. Simulation results show that solving transformer allocation problem in multi‐objective framework results in a set non‐dominated solutions which provide a trade‐off between losses and cost. Moreover, MOCSA produces more promising results than MOPSO.

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