TY - GEN
T1 - Energy management for a grid-tied photovoltaic-wind-storage system - Part II
T2 - 2013 IEEE Power and Energy Society General Meeting, PES 2013
AU - Hussein, Ala A.
AU - Batarseh, Issa
PY - 2013
Y1 - 2013
N2 - Renewable energy has unique characteristics such as it is sustainable, clean and free. However, renewable generation systems have two major limitations: they are strongly dependent on the weather conditions; and they have unsynchronized generation peaks with the demand peaks, in general. In a series of two papers, an energy management strategy for a distributed photovoltaic (PV)-wind-storage system is proposed. This second paper proposes a strategy to control the operation of the energy storage to overcome the limitations of renewable sources and forecasting models uncertainty. The proposed operation strategy is advantageous in terms of it allows a highly efficient and profitable operation of the system especially in an electricity spot market. Simulation results that shows the effectiveness of the proposed control strategy are provided.
AB - Renewable energy has unique characteristics such as it is sustainable, clean and free. However, renewable generation systems have two major limitations: they are strongly dependent on the weather conditions; and they have unsynchronized generation peaks with the demand peaks, in general. In a series of two papers, an energy management strategy for a distributed photovoltaic (PV)-wind-storage system is proposed. This second paper proposes a strategy to control the operation of the energy storage to overcome the limitations of renewable sources and forecasting models uncertainty. The proposed operation strategy is advantageous in terms of it allows a highly efficient and profitable operation of the system especially in an electricity spot market. Simulation results that shows the effectiveness of the proposed control strategy are provided.
KW - Artificial neural networks (ANNs)
KW - distributed generation (DG)
KW - energy storage system (ESS)
KW - load forecasting model
KW - photovoltaic (PV)
KW - solar radiation forecasting model
UR - http://www.scopus.com/inward/record.url?scp=84893168457&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893168457&partnerID=8YFLogxK
U2 - 10.1109/PESMG.2013.6672414
DO - 10.1109/PESMG.2013.6672414
M3 - Conference contribution
AN - SCOPUS:84893168457
SN - 9781479913039
T3 - IEEE Power and Energy Society General Meeting
BT - 2013 IEEE Power and Energy Society General Meeting, PES 2013
Y2 - 21 July 2013 through 25 July 2013
ER -
