Online Energy Management Systems for Microgrids: Experimental Validation and Assessment Framework

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Online Energy Management Systems for Microgrids : Experimental Validation and Assessment Framework. / Hernández, Adriana Carolina Luna; Meng, Lexuan; Aldana, Nelson Leonardo Diaz; Graells, Moises; Quintero, Juan Carlos Vasquez; Guerrero, Josep M.

I: I E E E Transactions on Power Electronics, Bind 33, Nr. 3, 03.2018, s. 2201 - 2215.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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@article{a73ddda5415f43b98627e014b20496ac,
title = "Online Energy Management Systems for Microgrids: Experimental Validation and Assessment Framework",
abstract = "Microgrids are energy systems that can work independently from the main grid in a stable and self-sustainable way. They rely on energy management systems to schedule optimally the distributed energy resources. Conventionally, the main research in this field is focused on scheduling problems applicable for specific case studies rather than in generic architectures that can deal with the uncertainties of the renewable energy sources. This paper contributes a design and experimental validation of an adaptable energy management system implemented in an online scheme, as well as an evaluation framework for quantitatively assess the enhancement attained by different online energy management strategies. The proposed architecture allows the interaction of measurement, forecasting and optimization modules, in which a generic generation-side mathematical problem is modeled, aiming to minimize operating costs and load disconnections. The whole energy management system has been tested experimentally in a test bench under both grid-connected and islanded mode. Also, its performance has been proved considering severe mismatches in forecast generation and load. Several experimental results have demonstrated the effectiveness of the proposed EMS, assessed by the corresponding average gap with respect to a selected benchmark strategy and ideal boundaries of the best and worst known solutions.",
keywords = "Energy management, Power generation dispatch, Reconfigurable architectures, Technology assessment",
author = "Hern{\'a}ndez, {Adriana Carolina Luna} and Lexuan Meng and Aldana, {Nelson Leonardo Diaz} and Moises Graells and Quintero, {Juan Carlos Vasquez} and Guerrero, {Josep M.}",
year = "2018",
month = "3",
doi = "10.1109/TPEL.2017.2700083",
language = "English",
volume = "33",
pages = "2201 -- 2215",
journal = "I E E E Transactions on Power Electronics",
issn = "0885-8993",
publisher = "Institute of Electrical and Electronics Engineers",
number = "3",

}

RIS

TY - JOUR

T1 - Online Energy Management Systems for Microgrids

T2 - I E E E Transactions on Power Electronics

AU - Hernández,Adriana Carolina Luna

AU - Meng,Lexuan

AU - Aldana,Nelson Leonardo Diaz

AU - Graells,Moises

AU - Quintero,Juan Carlos Vasquez

AU - Guerrero,Josep M.

PY - 2018/3

Y1 - 2018/3

N2 - Microgrids are energy systems that can work independently from the main grid in a stable and self-sustainable way. They rely on energy management systems to schedule optimally the distributed energy resources. Conventionally, the main research in this field is focused on scheduling problems applicable for specific case studies rather than in generic architectures that can deal with the uncertainties of the renewable energy sources. This paper contributes a design and experimental validation of an adaptable energy management system implemented in an online scheme, as well as an evaluation framework for quantitatively assess the enhancement attained by different online energy management strategies. The proposed architecture allows the interaction of measurement, forecasting and optimization modules, in which a generic generation-side mathematical problem is modeled, aiming to minimize operating costs and load disconnections. The whole energy management system has been tested experimentally in a test bench under both grid-connected and islanded mode. Also, its performance has been proved considering severe mismatches in forecast generation and load. Several experimental results have demonstrated the effectiveness of the proposed EMS, assessed by the corresponding average gap with respect to a selected benchmark strategy and ideal boundaries of the best and worst known solutions.

AB - Microgrids are energy systems that can work independently from the main grid in a stable and self-sustainable way. They rely on energy management systems to schedule optimally the distributed energy resources. Conventionally, the main research in this field is focused on scheduling problems applicable for specific case studies rather than in generic architectures that can deal with the uncertainties of the renewable energy sources. This paper contributes a design and experimental validation of an adaptable energy management system implemented in an online scheme, as well as an evaluation framework for quantitatively assess the enhancement attained by different online energy management strategies. The proposed architecture allows the interaction of measurement, forecasting and optimization modules, in which a generic generation-side mathematical problem is modeled, aiming to minimize operating costs and load disconnections. The whole energy management system has been tested experimentally in a test bench under both grid-connected and islanded mode. Also, its performance has been proved considering severe mismatches in forecast generation and load. Several experimental results have demonstrated the effectiveness of the proposed EMS, assessed by the corresponding average gap with respect to a selected benchmark strategy and ideal boundaries of the best and worst known solutions.

KW - Energy management

KW - Power generation dispatch

KW - Reconfigurable architectures

KW - Technology assessment

U2 - 10.1109/TPEL.2017.2700083

DO - 10.1109/TPEL.2017.2700083

M3 - Journal article

VL - 33

SP - 2201

EP - 2215

JO - I E E E Transactions on Power Electronics

JF - I E E E Transactions on Power Electronics

SN - 0885-8993

IS - 3

ER -

ID: 256638668