Dariush Keihan Asl

This paper focuses on the operation optimization of the integrated energy distribution systems, including electrical, natural gas, and district heating distribution systems. According to the unbalanced nature of the electrical distribution networks, a comprehensive model of the unbalanced electrical distribution network is established. A non-iterative three-phase load flow method, based on holomorphic-embedding, is proposed and implemented for solving the load flow of the unbalanced radial distribution electrical network. The energy flow of natural gas and heat networks are modeled and solved by a graph theory-based method. Teaching-learning based optimization algorithm is implemented to solve the optimization problem, considering various constraints of the proposed integrated energy distribution system. The objective is minimizing the total operation cost of energy flow in multi-carrier energy networks. The performance of the proposed method is validated in an integrated energy distribution system, including a 19-bus unbalanced radial electrical network, a typical 20-node natural gas, and a 30-node district heating network. The results verify the effectiveness of the proposed integrated energy system operation and applicability of the proposed optimal energy flow.