Title :
Impact of energy storage on cascade mitigation in multi-energy systems
Author :
Almassalkhi, M. ; Hiskens, I.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
In this paper, we establish energy-hub networks as multi-energy systems and present a relevant model-predictive cascade mitigation control (MPC) scheme within the framework of energy hubs. The performance of both open- and closed-loop mitigation schemes is investigated for various energy storage scenarios. The results are illustrated using a small 11-hub network and a larger 69-hub network and show that sizing and performance ratings of energy storage devices have significant effect on cascade mitigation control in multi-energy systems. Specifically, we conclude that increasing energy storage capacity and limiting the rate of energy delivery improves long-term performance of our closed-loop MPC scheme.
Keywords :
closed loop systems; energy storage; open loop systems; predictive control; 11-hub network; 69-hub network; MPC scheme; closed-loop MPC scheme; closed-loop mitigation scheme; energy delivery; energy storage capacity; energy storage devices; energy storage scenario; energy-hub networks; model-predictive cascade mitigation control scheme; multienergy systems; open-loop mitigation scheme; Biological system modeling; Energy storage; Load flow; Load modeling; Natural gas; Resistance heating; Schedules; Energy hub; energy storage; model-predictive control; multi-energy system; random networks; reliability;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6344815
