首页|基于数字孪生模型的住宅区微电网成本优化方法

基于数字孪生模型的住宅区微电网成本优化方法

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原文链接
  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
本文提出了一种基于个体生产消费者能源管理系统的社区成本优化方法，其目标是通过提高能源使用效率来优化社区生产消费者的能源成本。本文从两个方面展开研究，一是专注于将数字孪生技术应用于住宅社区微电网平台，包括数据收集、清理和分析等，此外，还包括平台的功能验证;二是开发一种新方法，该方法将两种不同的生产消费者行为纳入同一社区微电网，同时保持点对点能源交易的概念。没有储能系统的生产商利用各自的光伏系统来满足他们的能源需求，并将多余的能源注入当地的微电网。与此同时，拥有储能系统的生产商积极参与能源交换，以最大限度地提高社区利润。论文最后使用所开发的数字孪生方法对所提出的解决方案进行了验证。
A digital twin model-based approach to cost optimization of residential community microgrids
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.

Energy management system(EMS)Cost optimizationDigital twinPhotovoltaic systemsMicrogrid

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

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Université de Tunis El Manar,Ecole Nationale dʼIngénieurs de Tunis,LR11ES15 Laboratoire de Systèmes Electriques,1002,Tunis,Tunisie

Université de Carthage,Ecole Nationale dʼArchitecture et dʼUrbanisme,Laboratoire de Systèmes Electriques,1002,Tunis,Tunisie

能源管理系统 成本优化 数字孪生 光伏系统 微电网

Tunisian Ministry of Higher Education and Scientific ResearchPAQ-Collabora(PAR&I-Tk)program

LSE-ENIT-LR 11ES15

2024

10.1016/j.gloei.2024.01.008

全球能源互联网(英文)

全球能源互联网(英文)

CSTPCDEI
ISSN：2096-5117
年,卷(期)：2024.7(1)
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