Cluster partition for distributed energy resources in Regional Integrated Energy System

Fully utilizing local clean energy by regional Integrated Energy System is a effective way to alleviate energy crisis and reduce carbon emissions. Due to clean energy resources e.g., photovoltaic, wind power and low-grade heat distribute in region which results to be difficult to integrate, this paper provide improved two-steps k-means arithmetic for cluster partition of Regional Integrated Energy System for utilizing distributed energy. Firstly, the weight index is defined for direction of cluster partition. Secondly, according to the resource endowment and located position of distributed energy, the initial energy cluster partition and cluster center considering weight coefficient is determined. Finally, load is divided into the cluster according to the distance of source load and matching coefficient. The practical case indicate that the method proposed can effectively realize cluster partition and integration of distributed energy. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Automated summary

This paper proposes an improved two-steps k-means algorithm for cluster partition of Regional Integrated Energy System, aiming to effectively utilize distributed energy resources.