• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于能源互联网的新型微电网最优多代理控制方案,包含可再生能源。

A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources.

机构信息

Electrical Engineering Department, University of Basrah, Basrah 61001, Iraq.

Department of Electrical Techniques, Qurna Technique Institute, Southern Technical University, Basra 61016, Iraq.

出版信息

Int J Environ Res Public Health. 2021 Jul 31;18(15):8146. doi: 10.3390/ijerph18158146.

DOI:10.3390/ijerph18158146
PMID:34360439
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8346019/
Abstract

The increasing integration of Renewable Energy Resources (RERs) in distribution networks forms the Networked Renewable Energy Resources (NRERs). The cooperative Peer-to-Peer (P2P) control architecture is able to fully exploit the resilience and flexibility of NRERs. This study proposes a multi-agent system to achieve P2P control of NRERs based Internet of Things (IoT). The control system is fully distributed and contains two control layers operated in the agent of each RER. For primary control, a droop control is adopted by each RER-agent for localized power sharing. For secondary control, a distributed diffusion algorithm is proposed for arbitrary power sharing among RERs. The proposed levels communication system is implemented to explain the data exchange between the distribution network system and the cloud server. The local communication level utilizes the Internet Protocol (IP)/Transmission Control Protocol (TCP), and Message Queuing Telemetry Transport (MQTT) is used as the protocol for the global communication level. The effectiveness of the proposed system is validated by numerical simulation with the modified IEEE 9 node test feeder. The controller proposed in this paper achieved savings of 20.65% for the system, 25.99% for photovoltaic, 35.52 for diesel generator, 24.59 for batteries, and 52.34% for power loss.

摘要

可再生能源资源 (RERs) 在配电网中的日益融合形成了网络化可再生能源资源 (NRERs)。协同对等 (P2P) 控制架构能够充分利用 NRERs 的弹性和灵活性。本研究提出了一种基于物联网 (IoT) 的多智能体系统来实现 NRERs 的 P2P 控制。该控制系统完全分布式,包含在每个 RER 代理中运行的两个控制层。对于主控制,每个 RER 代理采用下垂控制进行本地化功率共享。对于二级控制,提出了一种分布式扩散算法,用于在 RER 之间任意功率共享。所提出的分层通信系统用于解释配电网系统和云服务器之间的数据交换。本地通信层使用互联网协议 (IP)/传输控制协议 (TCP),消息队列遥测传输 (MQTT) 用作全局通信层的协议。通过修改后的 IEEE 9 节点测试馈线的数值模拟验证了所提出系统的有效性。本文提出的控制器为系统节省了 20.65%的能源,为光伏节省了 25.99%的能源,为柴油发电机节省了 35.52%的能源,为电池节省了 24.59%的能源,为功率损耗节省了 52.34%的能源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/bd6f1f62cb82/ijerph-18-08146-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/2010197f44a2/ijerph-18-08146-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/a79499848f42/ijerph-18-08146-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/9a4d28c166bb/ijerph-18-08146-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/e2f594aff8a4/ijerph-18-08146-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/c949b424153b/ijerph-18-08146-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/7b361e8d614c/ijerph-18-08146-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/0b8d041497fd/ijerph-18-08146-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/6e61ab02b679/ijerph-18-08146-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/dfa93ba9f6ff/ijerph-18-08146-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/6b826a533643/ijerph-18-08146-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/4022356155d3/ijerph-18-08146-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/30a1d1f7e66b/ijerph-18-08146-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/6d938700c797/ijerph-18-08146-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/88a4c0936673/ijerph-18-08146-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/db81e8f381ef/ijerph-18-08146-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/dfd70458df1e/ijerph-18-08146-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/bd6f1f62cb82/ijerph-18-08146-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/2010197f44a2/ijerph-18-08146-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/a79499848f42/ijerph-18-08146-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/9a4d28c166bb/ijerph-18-08146-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/e2f594aff8a4/ijerph-18-08146-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/c949b424153b/ijerph-18-08146-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/7b361e8d614c/ijerph-18-08146-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/0b8d041497fd/ijerph-18-08146-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/6e61ab02b679/ijerph-18-08146-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/dfa93ba9f6ff/ijerph-18-08146-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/6b826a533643/ijerph-18-08146-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/4022356155d3/ijerph-18-08146-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/30a1d1f7e66b/ijerph-18-08146-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/6d938700c797/ijerph-18-08146-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/88a4c0936673/ijerph-18-08146-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/db81e8f381ef/ijerph-18-08146-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/dfd70458df1e/ijerph-18-08146-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d533/8346019/bd6f1f62cb82/ijerph-18-08146-g017.jpg

相似文献

1
A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources.基于能源互联网的新型微电网最优多代理控制方案,包含可再生能源。
Int J Environ Res Public Health. 2021 Jul 31;18(15):8146. doi: 10.3390/ijerph18158146.
2
Internet of things based smart energy management in a vanadium redox flow battery storage integrated bio-solar microgrid.基于物联网的智能能源管理在钒氧化还原液流电池储能集成生物太阳能微电网中的应用
J Energy Storage. 2020 Dec;32:101967. doi: 10.1016/j.est.2020.101967. Epub 2020 Oct 16.
3
Least mean square fourth based microgrid state estimation algorithm using the internet of things technology.基于最小均方四次的物联网技术微电网状态估计算法
PLoS One. 2017 May 1;12(5):e0176099. doi: 10.1371/journal.pone.0176099. eCollection 2017.
4
A Novel Robust Smart Energy Management and Demand Reduction for Smart Homes Based on Internet of Energy.基于能源互联网的新型智能家居鲁棒智能能量管理与需求削减
Sensors (Basel). 2021 Jul 12;21(14):4756. doi: 10.3390/s21144756.
5
Routing Based Multi-Agent System for Network Reliability in the Smart Microgrid.用于智能微电网中网络可靠性的基于路由的多智能体系统。
Sensors (Basel). 2020 May 25;20(10):2992. doi: 10.3390/s20102992.
6
The Cryptographic Key Distribution System for IoT Systems in the MQTT Environment.物联网系统在 MQTT 环境中的加密密钥分配系统。
Sensors (Basel). 2023 May 26;23(11):5102. doi: 10.3390/s23115102.
7
Access Control Mechanism for IoT Environments Based on Modelling Communication Procedures as Resources.基于将通信过程建模为资源的物联网环境访问控制机制
Sensors (Basel). 2018 Mar 20;18(3):917. doi: 10.3390/s18030917.
8
A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT.基于深度学习的 MQTT 物联网入侵检测系统。
Sensors (Basel). 2021 Oct 22;21(21):7016. doi: 10.3390/s21217016.
9
Optimal Distributed MQTT Broker and Services Placement for SDN-Edge Based Smart City Architecture.基于软件定义网络边缘的智慧城市架构的最优分布式MQTT代理和服务布局
Sensors (Basel). 2022 Apr 30;22(9):3431. doi: 10.3390/s22093431.
10
Optimal energy management and capacity planning of renewable integrated rural microgrid.可再生能源综合农村微电网的最佳能量管理和容量规划。
Environ Sci Pollut Res Int. 2023 Sep;30(44):99176-99197. doi: 10.1007/s11356-023-28792-3. Epub 2023 Jul 18.

引用本文的文献

1
Optimizing control efficiency in discrete-time multi-agent systems via event-triggered containment techniques combining disturbance handling and input delay management.通过结合干扰处理和输入延迟管理的事件触发包容技术优化离散时间多智能体系统中的控制效率。
Heliyon. 2024 Jul 5;10(14):e33975. doi: 10.1016/j.heliyon.2024.e33975. eCollection 2024 Jul 30.
2
A New Decentralized Robust Secondary Control for Smart Islanded Microgrids.一种新型的去中心化鲁棒二级控制策略用于孤岛型微电网。
Sensors (Basel). 2022 Nov 11;22(22):8709. doi: 10.3390/s22228709.

本文引用的文献

1
A Novel Robust Smart Energy Management and Demand Reduction for Smart Homes Based on Internet of Energy.基于能源互联网的新型智能家居鲁棒智能能量管理与需求削减
Sensors (Basel). 2021 Jul 12;21(14):4756. doi: 10.3390/s21144756.
2
Hybrid AC/DC microgrid test system simulation: grid-connected mode.交直流混合微电网测试系统仿真:并网模式。
Heliyon. 2019 Dec 7;5(12):e02862. doi: 10.1016/j.heliyon.2019.e02862. eCollection 2019 Dec.
3
Distributed Event-Triggered Cooperative Control for Frequency and Voltage Stability and Power Sharing in Isolated Inverter-Based Microgrid.
基于分布式事件触发的孤岛微电网中频率和电压稳定性与功率分配的协同控制。
IEEE Trans Cybern. 2019 Apr;49(4):1427-1439. doi: 10.1109/TCYB.2018.2803754. Epub 2018 Feb 26.