Research on coordinating optimization strategy of integrated energy system based on multi-agent consistency theory

With the development of communication technology, the level of informatization and intelligence of energy systems continues to increase. The integrated energy system (IES) considering the mixed energy supply of electric, heat, gas and information is an effective approach to improve the rational allocation of energy. The optimized configuration of network power flow can not only improve the efficiency of energy utilization, but also reduce the network redundancy as much as possible through a high level of coupling. In this paper, based on improved discrete consistency algorithm, a coordinating optimization method is proposed that aims to optimize the multi-area interconnected IES. First, an IES model considering the mixed energy supply of electric, heat and gas is constructed in a single region. Based on the model, an objective function with the maximum return is established on the premise of assuming that the prices of electric, heat and gas can be used as an economic means to adjust the energy utilization. Then, the consistency theory is applied to the IES, and the improved discrete consistency algorithm is used to optimize the objective function. Finally, a certain region IES is taken as an example in Northeast China. The case study demonstrates that the effectiveness and accuracy of the proposed method.