Flexible Boundary Multi-Microgrids Power Distribution Systems with Internet of Thing for System Efficiency Enhancement

Flexible Boundary Multi-Microgrids Power Distribution Systems with Internet of Thing for System Efficiency Enhancement

Md Shahin Alam

Contact

Seyed Ali Arefifar

Contact

Flexible Boundary Multi-Microgrids Power Distribution Systems with Internet of Thing for System Efficiency Enhancement

Article Fingerprint

ReserarchID

6ISO3

Flexible Boundary Multi-Microgrids Power Distribution Systems with Internet of Thing for System Efficiency Enhancement Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

Multi-microgrid power distribution systems are gaining attention in the smart grid era. Distributed energy resources, energy storage, as well as energy sharing and scheduling has a great potential to enhance multi-microgrid systems’ performance. This research develops an algorithm for optimal operation of various distributed energy resources in a flexible boundary multi-microgrid power distribution network, considering internet of things (IoT). The proposed algorithm used in this research can reduce power system operating costs, power, and energy losses and emissions, and ultimately increase the systems’ efficiency. A hybrid Particle Swarm Optimization-Tabu Search algorithm is developed for optimization purposes.

References

27 Cites in Article

Reference Format

A Hussain,V Bui,H Kim (2020). An Effort-Based Reward Approach for Allocating Load Shedding Amount in Networked Microgrids Using Multiagent System.
Morteza Dabbaghjamanesh,Abdollah Kavousi-Fard,Shahab Mehraeen (2019). Effective Scheduling of Reconfigurable Microgrids With Dynamic Thermal Line Rating.
A Dimeas,N Hatziargyriou (2005). Operation of a multiagent system for microgrid control.
H Kumar Nunna,S Doolla (2013). Multiagent-Based Distributed-Energy-Resource Management for Intelligent Microgrids.
K Moslehi,A Kumar (2019). Autonomous Resilient Grids in an IoT Landscape Vision for a Nested Transactive Grid.
Alejandro Ortiz-Larquin,Javier Diaz-Carmona,Elias Rodriguez-Segura,Alejandro Espinosa-Calderon,Juan Prado-Olivarez,Alfredo Padilla-Medina (2021). IoT-CAN based system for remote monitoring and control of DC microgrids.
Babak Arbab-Zavar,Emilio Palacios-Garcia,Juan Vasquez,Josep Guerrero (2021). Message Queuing Telemetry Transport Communication Infrastructure for Grid-Connected AC Microgrids Management.
Seon-Ju Ahn,Soon-Ryul Nam,Joon-Ho Choi,Seung-Il Moon (2013). Power Scheduling of Distributed Generators for Economic and Stable Operation of a Microgrid.
Youwei Jia,Xue Lyu,Peng Xie,Zhao Xu,Minghua Chen (2020). A Novel Retrospect-Inspired Regime for Microgrid Real-Time Energy Scheduling With Heterogeneous Sources.
Di Wu,Xu Ma,Sen Huang,Tao Fu,Patrick Balducci (2020). Stochastic optimal sizing of distributed energy resources for a cost-effective and resilient Microgrid.
Niloofar Ghanbari,Hossein Mokhtari,Subhashish Bhattacharya (2018). Optimizing Operation Indices Considering Different Types of Distributed Generation in Microgrid Applications.
Hafiz Muqeet,Aftab Ahmad (2020). Optimal Scheduling for Campus Prosumer Microgrid Considering Price Based Demand Response.
Tianqiao Zhao,Zhenhong Li,Zhengtao Ding (2019). Consensus-Based Distributed Optimal Energy Management With Less Communication in a Microgrid.
Wei Liu,Wei Gu,Jianhui Wang,Wenwu Yu,Xinze Xi (2018). Game Theoretic Non-Cooperative Distributed Coordination Control for Multi-Microgrids.
Jiayong Li,Mohammad Khodayar,Jianhui Wang,Bin Zhou (2021). Data-Driven Distributionally Robust Co-Optimization of P2P Energy Trading and Network Operation for Interconnected Microgrids.
P Sheikhahmadi,S Bahramara,S Shahrokhi,G Chicco,A Mazza,J Catalão (2020). Modeling Local Energy Market for Energy Management of Multi-Microgrids.
Yuchen Jia,Peng Wen,Yongsheng Yan,Limin Huo (2021). Joint Operation and Transaction Mode of Rural Multi Microgrid and Distribution Network.
Zhaoxi Liu,Lingfeng Wang,Li Ma (2020). A Transactive Energy Framework for Coordinated Energy Management of Networked Microgrids With Distributionally Robust Optimization.
Saeed Hasanvand,Majid Nayeripour,Seyed Arefifar,Hossein Fallahzadeh‐abarghouei (2018). Spectral clustering for designing robust and reliable multi‐MG smart distribution systems.
Mohammed Nassar,M Salama (2016). Adaptive Self-Adequate Microgrids Using Dynamic Boundaries.
Tianqiao Zhao,Jianhui Wang,Xiaonan Lu (2021). An MPC-Aided Resilient Operation of Multi-Microgrids With Dynamic Boundaries.
Amin Mohsenzadeh,Chengzong Pang,Mahmoud-Reza Haghifam (2018). Determining Optimal Forming of Flexible Microgrids in the Presence of Demand Response in Smart Distribution Systems.
Guneet Bedi,Ganesh Venayagamoorthy,Rajendra Singh (2016). Navigating the challenges of Internet of Things (IoT) for power and energy systems.
Md Alam,Seyed Arefifar (2020). Hybrid PSO-TS Based Distribution System Expansion Planning for System Performance Improvement Considering Energy Management.
M Alam,S Arefifar (2018). Cost & Emission Analysis of Different DGs for Performing Energy Management in Smart Grids.
J Pinheiro,C Dornellas,M Schilling,A Melo,J Mello (1998). Probing the new IEEE Reliability Test System (RTS-96): HL-II assessment.
Baolei Yuan,Alian Chen,Chunshui Du,Chenghui Zhang (2017). Hybrid AC/DC microgrid energy management based on renewable energy sources forecasting.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Md Shahin Alam. 2026. \u201cFlexible Boundary Multi-Microgrids Power Distribution Systems with Internet of Thing for System Efficiency Enhancement\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 22 (GJRE Volume 22 Issue F2): .

More Citation Formats

Select Citation Style:

Download Citation

Download Article

GJRE Volume 22 Issue F2
Pg. 1- 12

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

Not Found

Classification

GJRE-F Classification: DDC Code: 004.678 LCC Code: QA76.9.B45

Submission ReceivedFebruary 22, 2022
Peer Review Double Blind
Handling Editor
Accepted February 28, 2022
Published April 20, 2022

Version of record

v1.2

Issue date

May 9, 2022

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Views: 1574

Total Downloads: 45

2026 Trends

Published Article

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]