TY - GEN
T1 - Resource Management for Uninterrupted Microgrid Operation
AU - Ghosh, P. K.
AU - Sahinoglu, M.
AU - Phoha, V. V.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - To meet the ever-increasing demand of electric power, microgrids are establishing themselves to be one of the most reliable power delivery systems. Microgrids can deliver power efficiently, cost-effectively and environment-friendly. To design a sustainable microgrid; several tasks such as resource allocation, optimization, power flow analyses, load demand analysis, cost analysis, etc., needs to be performed for a sustainable operation. The system should be able to process periodically a plethora of data originating from various sensors and measurement units. The system needs to process the data and then deliver appropriate control signals when some changes in the system occurs. Cloud computing can be an efficient way to handle this huge data processing task to meet various microgrid operational needs. It will also eliminate the need for a local macro server and thus will reduce the overall cost of the microgrid operation.
AB - To meet the ever-increasing demand of electric power, microgrids are establishing themselves to be one of the most reliable power delivery systems. Microgrids can deliver power efficiently, cost-effectively and environment-friendly. To design a sustainable microgrid; several tasks such as resource allocation, optimization, power flow analyses, load demand analysis, cost analysis, etc., needs to be performed for a sustainable operation. The system should be able to process periodically a plethora of data originating from various sensors and measurement units. The system needs to process the data and then deliver appropriate control signals when some changes in the system occurs. Cloud computing can be an efficient way to handle this huge data processing task to meet various microgrid operational needs. It will also eliminate the need for a local macro server and thus will reduce the overall cost of the microgrid operation.
KW - cloud computing
KW - microgrid
KW - planning
KW - reliability
UR - http://www.scopus.com/inward/record.url?scp=85074106502&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85074106502&partnerID=8YFLogxK
U2 - 10.1109/SEGE.2019.8859865
DO - 10.1109/SEGE.2019.8859865
M3 - Conference contribution
AN - SCOPUS:85074106502
T3 - Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019
SP - 321
EP - 324
BT - Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2019
Y2 - 12 August 2019 through 14 August 2019
ER -