Research on the Stability of Grid Connected Wind Turbine Combined with Energy Storage Power System Based on a New Wind Power Fluctuation Smoothing Strategy

Abstract

Wind power equipped with an energy storage system (ESS) has been demonstrated as the best potential configuration for a rapid global energy transition in the future. In the traditional anti-pulse average filtering control strategy for controlling wind power fluctuations, the smoothing window interval is a constant value, when the forecast output power error is considerable, the fixed window interval width may not be able to meet the smoothing demand, so the traditional strategy has the problems of bad smoothing effect and high probability for power fluctuations exceeding the limit. We propose an optimization strategy for energy storage operation in this paper. Firstly, this strategy can dynamically adjust the window interval width according to the power prediction error, and find the optimal window interval width that makes the output power volatility satisfy requirements for grid connection, so as to achieve the effect of improving the smoothing effect. Secondly, by optimizing hydrogen storage systems operation to reduce the demand for storage system capacity, the odds of output power volatility exceeding the limits are reduced. The outcomes indicate that this new smoothing strategy is effective in improving the stability of the wind power grid connection.

Keywords:

• wind energy
• power fluctuation
• hydrogen energy storage
• power smoothing
• adaptive window interval

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Zhe Ma

Zhe Ma, the Dalian University of Technology-Edinburgh University co-cultivated Ph.D., associate professor of the Dalian University of Technology, mainly engaged in the research of wave slamming in the field of marine new energy and marine engineering, the basic mechanical properties, thermodynamic properties, and innovative application of marine solid floating materials.

Jiakang Li

Jiakang Li, Master of the Dalian University of Technology, lecturer of Nantong Institute of Technology, mainly engaged in offshore wind power integration and seismic performance research.

Gangjun Zhai

Gangjun Zhai, Doctor of the Dalian University of Technology, a researcher of the Dalian University of Technology, is mainly engaged in the research of marine new energy.

Bin Li

Bin Li, Doctor of Edinburgh University, Dalian Rongke Energy Storage Co., Ltd., mainly engaged in large-scale energy storage research.

Zhe Zhang

Zhe Zhang, Doctor of the Dalian University of Technology, Professor of Nantong Institute of Technology, mainly engaged in high-rise structure seismic research.

Wenyuan Wang

Wenyuan Wang, Doctor of the Dalian University of Technology, Professor of the Dalian University of Technology, mainly engaged in green port space planning, intelligent scheduling of port production systems, ecological port hydraulic structure, and other fields of teaching and research work.