Optimal Scheduling Method for the Distribution Network Integrated with Multi-Energy Systems Considering Flexible Regulation Ability

Abstract

With the increasing demand for clean and low-carbon energy in society, the distribution network will face the continuous integration of multiple energy systems in the future. This phenomenon brings great challenges to the safe operation of the distribution network. To solve this problem, this paper proposes an optimal scheduling method for the multi-energy integrated distribution network considering flexible regulation ability. Firstly, the flexible regulation ability is defined in this paper for the distribution network integrated with multi-energy systems. Secondly, various flexible regulation resources and regulation characteristics in the distribution network are analyzed. Then, the flexibility index is analyzed based on the interval variation model for multiple objects, such as sources, loads, energy conversion and storage, and pipeline network. Finally, the system optimization model considering flexible regulation ability is established and solved by the conventional particle swarm optimization method. By the proposed method, system flexibility and operation economy can be simultaneously improved in the multi-energy integrated distribution network. Case studies of an urban model verify the effectiveness of the proposed method.