全球能源互联网（英文）2024，Vol.7Issue(1)：82-93,12.DOI:10.1016/j.gloei.2024.01.008
基于数字孪生模型的住宅区微电网成本优化方法
A digital twin model-based approach to cost optimization of residential community microgrids
摘要
Abstract
This paper presents a peer-to-peer community cost optimization approach based on a single-prosumer energy management system.Its objective is to optimize energy costs for prosumers in the community by enhancing the consumption efficiency.This study was conducted along two main axes.The first axis focuses on designing a digital twin for a residential community microgrid platform.This phase involves data collection,cleaning,exploration,and interpretation.Moreover,it includes replicating the functionality of the real platform and validating the results.The second axis involves the development of a novel approach that incorporates two distinct prosumer behaviors within the same community microgrid,while maintaining the concept of peer-to-peer energy trading.Prosumers without storage utilize their individual PV systems to fulfill their energy requirements and inject excess energy into a local microgrid.Meanwhile,a single prosumer with a storage system actively engages in energy exchange to maximize the communityʼs profit.This is achieved by optimizing battery usage using a cost optimization solution.The proposed solution is validated using the developed digital twin.关键词
能源管理系统/成本优化/数字孪生/光伏系统/微电网Key words
Energy management system(EMS)/Cost optimization/Digital twin/Photovoltaic systems/Microgrid引用本文复制引用
玛丽姆·戴拉利,桑德斯·斯坎德·穆斯塔法,伊尔赫姆·斯拉马·贝尔科贾..基于数字孪生模型的住宅区微电网成本优化方法[J].全球能源互联网（英文）,2024,7(1):82-93,12.基金项目
This work was supported by the Tunisian Ministry of Higher Education and Scientific Research under Grant LSE-ENIT-LR 11ES15,and funded in part by the PAQ-Collabora(PAR&I-Tk)program. （PAR&I-Tk）
