TY - GEN
T1 - Optimal scheduling and operation of the ESS for prosumer market environment in grid-connected industrial complex
AU - Choi, Sungyun
AU - Min, Sang Won
PY - 2017/11/8
Y1 - 2017/11/8
N2 - The prosumer market, where energy surplus can be sold to other consumers or utility, has emerged with the increasing penetration of renewable energy sources. The energy management system (EMS) plays a key role in the prosumer market environment by controlling and operating dispatch-able sources-for example, the energy storage systems (ESSs)-to achieve operational goals such as economic or stable operations. The paper, in this context, proposes the coordination scheme between day-ahead optimizing planning and real-time operations of the ESS, aiming to achieve economic benefit-reducing operational costs-and contract fulfillment-providing designated power to, especially, grid-connected industrial complex at peak-load conditions. All in all, the ultimate goal of the proposed methodology is to maximize the profits of prosumers by controlling the ESS in various operating conditions. The paper also presents case study with a test-bed of prosumer market to validate the proposed method. As historical data for day-ahead optimization, actual field data recording power generation of renewable energy sources and load consumption of an industrial complex are used. For day-ahead optimization, quadratic programming is used that minimizes operation costs as well as prevents battery deterioration.
AB - The prosumer market, where energy surplus can be sold to other consumers or utility, has emerged with the increasing penetration of renewable energy sources. The energy management system (EMS) plays a key role in the prosumer market environment by controlling and operating dispatch-able sources-for example, the energy storage systems (ESSs)-to achieve operational goals such as economic or stable operations. The paper, in this context, proposes the coordination scheme between day-ahead optimizing planning and real-time operations of the ESS, aiming to achieve economic benefit-reducing operational costs-and contract fulfillment-providing designated power to, especially, grid-connected industrial complex at peak-load conditions. All in all, the ultimate goal of the proposed methodology is to maximize the profits of prosumers by controlling the ESS in various operating conditions. The paper also presents case study with a test-bed of prosumer market to validate the proposed method. As historical data for day-ahead optimization, actual field data recording power generation of renewable energy sources and load consumption of an industrial complex are used. For day-ahead optimization, quadratic programming is used that minimizes operation costs as well as prevents battery deterioration.
KW - Day-ahead planning
KW - Energy management
KW - Energy storage systems
KW - Optimization
KW - Prosumer market
KW - Quadratic programming
KW - Real-time operation
UR - http://www.scopus.com/inward/record.url?scp=85044107403&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044107403&partnerID=8YFLogxK
U2 - 10.1109/IAS.2017.8101727
DO - 10.1109/IAS.2017.8101727
M3 - Conference contribution
AN - SCOPUS:85044107403
T3 - 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
SP - 1
EP - 7
BT - 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
Y2 - 1 October 2017 through 5 October 2017
ER -