Optimal storage-aided wind generation integration considering ramping requirements

Xiang L, Ng DWK, Lee W, Schober R (2013)

Publication Type: Conference contribution

Publication year: 2013

Pages Range: 648-653

Conference Proceedings Title: 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013

Event location: Vancouver CA

ISBN: 9781479915262

DOI: 10.1109/SmartGridComm.2013.6688032

Abstract

Large-scale integration of intermittent wind energy can put a large burden on the utility company in balancing system demand and supply. As more and more dispersed wind energy suppliers connect to the system for electricity supply, the power system suffers from increased operation cost and risk caused by the discrepant interests of energy suppliers and the utility company. Energy suppliers may only concern about maximizing their own profits by pushing as much energy into the grid as possible, while neglecting the risk of steep ramps in wind generation. In this paper, exploiting the two-way communication capability in smart grid, we propose interactive ramp control of wind energy integration by aligning the individual pursuits of the energy suppliers and the utility company for social welfare maximization. The optimal wind energy integration and generator ramp control are investigated in an offline social welfare optimization problem assuming full knowledge of future wind energy and load demand. Moreover, the benefits of storage are exploited in our proposed storage-aided generation range adaption scheme to reduce the potential risk caused by inaccurate wind energy forecasts and the ramping latency of slow generators. Furthermore, a suboptimal storage-aided generation range adaption scheme with low computational complexity is presented for online control of wind integration when wind energy forecasts are unavailable. Our simulation results show that interactive ramp control is necessary to achieve efficient and secure wind energy integration and with the aid of storage, the power system's ramping capability can be improved at lower operation cost. © 2013 IEEE.

Authors with CRIS profile

Lin Xiang Lehrstuhl für Digitale Übertragung William Lee Lehrstuhl für Hochfrequenztechnik Robert Schober Lehrstuhl für Digitale Übertragung

How to cite

APA:

Xiang, L., Ng, D.W.K., Lee, W., & Schober, R. (2013). Optimal storage-aided wind generation integration considering ramping requirements. In 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013 (pp. 648-653). Vancouver, CA.

MLA:

Xiang, Lin, et al. "Optimal storage-aided wind generation integration considering ramping requirements." Proceedings of the 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013, Vancouver 2013. 648-653.

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