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In this paper, a generalized heuristic approach is proposed to solve the optimal power flow problem in multicarrier energy systems. This technique omits the use of any extra variable such as dispatch factors or dummy variables required for conventional techniques. The unified proposed approach can be utilized with all evolutionary algorithms. Modeling hubdevices with constant efficiency may produce a considerable error in finding the actual optimal operating point of the whole network. However, using variable efficiency model adds complexity to the conventional methods while increases the computation-demand of these techniques but this target can be simply implemented by the proposed scheme. A multi-carrier energy system consists of an electrical, a natural gas, and a district heating network is analyzed by the proposed algorithm using the modified teaching-learning based optimization method. Results validate the utilized approach and show that it can successfully reach to the global optimal solution of the problem.Index Terms-Energy hub, heuristic algorithms, multi-carrier energy system, optimal power flow, optimization problem. NOMENCLATUREA. Multi-carrier energy network parameters/variables , gen Ei P , , gen Ei Q electric active and reactive power injected by the generator connected to the ith bus , dem Ei P , , dem Ei Q electric active and reactive power demand of the load connected to the ith bus Vi , Vj

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