TY - JOUR
T1 - Online Energy Management Systems for Microgrids
T2 - Experimental Validation and Assessment Framework
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 to 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 to 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
KW - power generation dispatch
KW - reconfigurable architectures
KW - technology assessment
UR - http://www.scopus.com/inward/record.url?scp=85038927365&partnerID=8YFLogxK
U2 - 10.1109/TPEL.2017.2700083
DO - 10.1109/TPEL.2017.2700083
M3 - Journal article
SN - 0885-8993
VL - 33
SP - 2201
EP - 2215
JO - I E E E Transactions on Power Electronics
JF - I E E E Transactions on Power Electronics
IS - 3
M1 - 7915727
ER -