The recent development of the Energy Internet has urged the conventional inefficient utilization of single energy to change towards the more developed energy usage of optimal dispatch of the multi-energy system. Against the above-mentioned background

an optimal joint dispatch of multi-energy system model framework is firstly proposed based on the energy hub modeling approach. Then a typical multi-energy system model is developed considering carbon emission and energy supply costs with valve point effect. To solve this non-linear problem with non-convex

discontinuously differentiable characteristic

the cascaded algorithm combined with the knowledge transfer based Q-learning algorithm and interior point method is applied on the model. That is

the active power of generators is taken as an action variable of Q-learning in the upper structure and solve the multi-energy system model with the interior point method in the lower structure. Meanwhile

the efficiency is greatly improved by knowledge transfer. Case studies have been carried out on a 33 energy hubs test system to verify the effectiveness of the proposed model and algorithm.