Hierarchical Energy Management in Islanded Networked Microgrids

Networked microgrids have many advantages for consumers and small energy producers, including higher reliability than non-networked microgrids. However, energy transaction, network interconnection, the intermittent nature of renewable sources, and other problems lead to challenges in the practical i...

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Main Authors: Ying-Yi Hong, Francisco I. Alano
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9681846/
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author Ying-Yi Hong
Francisco I. Alano
author_facet Ying-Yi Hong
Francisco I. Alano
author_sort Ying-Yi Hong
collection DOAJ
description Networked microgrids have many advantages for consumers and small energy producers, including higher reliability than non-networked microgrids. However, energy transaction, network interconnection, the intermittent nature of renewable sources, and other problems lead to challenges in the practical implementation of networked microgrids. Despite its favorable use of space, a floating PV system presents challenges that differ from those associated with its land-based counterparts because it is prone to the motion of the surface of the water, resulting in an unpredictable power output. This work presents a hierarchical energy management system (EMS) to address these issues. In level 1 of the EMS, which is for the overall management thereof, a blockchain model is used to manage transactions among microgrids. A grid synchronization algorithm is implemented in level 2 of the EMS, which manages the interconnection of microgrids. Level 2 is activated when an energy transaction between microgrids is needed. An on-line recurrent neural network (RNN)-based controller for an energy storage system (ESS), which is designed specifically to mitigate the problem caused by a floating PV platform, is deployed in level 3 as a local controller. The results of a hardware-in-the-loop (HIL) simulation demonstrate that the EMS can properly coordinate the levels in the hierarchical scheme to interconnect and provide power support between the microgrids. Real-time simulation results show that the ESS controller responds well, proving the viability of the hardware controller. According to these findings, the hierarchical EMS that is proposed in this work can solve the considered problems.
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spelling doaj.art-21cb2836304948f29fa7b23f180920922022-12-22T04:09:52ZengIEEEIEEE Access2169-35362022-01-01108121813210.1109/ACCESS.2022.31433079681846Hierarchical Energy Management in Islanded Networked MicrogridsYing-Yi Hong0https://orcid.org/0000-0002-9540-3931Francisco I. Alano1https://orcid.org/0000-0003-0484-8722Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan City, TaiwanDepartment of Electrical Engineering, Chung Yuan Christian University, Taoyuan City, TaiwanNetworked microgrids have many advantages for consumers and small energy producers, including higher reliability than non-networked microgrids. However, energy transaction, network interconnection, the intermittent nature of renewable sources, and other problems lead to challenges in the practical implementation of networked microgrids. Despite its favorable use of space, a floating PV system presents challenges that differ from those associated with its land-based counterparts because it is prone to the motion of the surface of the water, resulting in an unpredictable power output. This work presents a hierarchical energy management system (EMS) to address these issues. In level 1 of the EMS, which is for the overall management thereof, a blockchain model is used to manage transactions among microgrids. A grid synchronization algorithm is implemented in level 2 of the EMS, which manages the interconnection of microgrids. Level 2 is activated when an energy transaction between microgrids is needed. An on-line recurrent neural network (RNN)-based controller for an energy storage system (ESS), which is designed specifically to mitigate the problem caused by a floating PV platform, is deployed in level 3 as a local controller. The results of a hardware-in-the-loop (HIL) simulation demonstrate that the EMS can properly coordinate the levels in the hierarchical scheme to interconnect and provide power support between the microgrids. Real-time simulation results show that the ESS controller responds well, proving the viability of the hardware controller. According to these findings, the hierarchical EMS that is proposed in this work can solve the considered problems.https://ieeexplore.ieee.org/document/9681846/Energy blockchainfloating PV systemhardware-in-the-loop simulationhierarchical energy managementnetworked microgridsneural network controller
spellingShingle Ying-Yi Hong
Francisco I. Alano
Hierarchical Energy Management in Islanded Networked Microgrids
IEEE Access
Energy blockchain
floating PV system
hardware-in-the-loop simulation
hierarchical energy management
networked microgrids
neural network controller
title Hierarchical Energy Management in Islanded Networked Microgrids
title_full Hierarchical Energy Management in Islanded Networked Microgrids
title_fullStr Hierarchical Energy Management in Islanded Networked Microgrids
title_full_unstemmed Hierarchical Energy Management in Islanded Networked Microgrids
title_short Hierarchical Energy Management in Islanded Networked Microgrids
title_sort hierarchical energy management in islanded networked microgrids
topic Energy blockchain
floating PV system
hardware-in-the-loop simulation
hierarchical energy management
networked microgrids
neural network controller
url https://ieeexplore.ieee.org/document/9681846/
work_keys_str_mv AT yingyihong hierarchicalenergymanagementinislandednetworkedmicrogrids
AT franciscoialano hierarchicalenergymanagementinislandednetworkedmicrogrids