Journal
RENEWABLE ENERGY
Volume 125, Issue -, Pages 73-86Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2018.02.067
Keywords
Compressed air energy storage; Large-scale wind power; Grid-connected power optimization; Thermodynamic analysis; Levelized cost of electricity
Funding
- National Natural Science Foundation of China [51708493]
- Zhejiang Provincial Natural Science Foundation of China [LY17E050009, LZ15E050001]
- Youth Funds of the State Key Laboratory of Fluid Power & Mechatronic Systems [SKLoFP_QN_1501]
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Compressed Air Energy Storage (CAES) is considered as one of the key solutions to handle intermittent and random wind power. However, limited energy conversion efficiency and high capital cost of energy storage have restricted significantly the integration of wind power with CAES. In this study, a grid-connected power optimization strategy based on piecewise averaging of real-time wind power and electricity price data is developed to ensure continuous and stable power outputs to the grid using modified profit-maximizing algorithm. Thermodynamic analysis on the performance of low temperature adiabatic CAES, energy conversion, and economic evaluation were carried out for a hybrid wind/low-temperature adiabatic CAES system (wind/LA-CAES) with pressure vessels. The proposed optimization strategy reduced the required capacity of CAES and the levelized cost of electricity (LCOE) significantly with greater utilization of wind power and operation profitability. The findings presented in this study is of significant reference value to future development of large-scale wind power integrated with CAES. (C) 2018 Elsevier Ltd. All rights reserved.
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