Coordinated Control of Multi-Type Energy Storage for Wind Power Fluctuation Suppression

Xisheng Tang, Yushu Sun, Guopeng Zhou and Fufeng Miao
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Xisheng Tang: Institute of Electrical Engineering, Chinese Academy of Sciences, Haidian District, Beijing 100190, China
Yushu Sun: Institute of Electrical Engineering, Chinese Academy of Sciences, Haidian District, Beijing 100190, China
Guopeng Zhou: North China Electric Power Research Institute Co., Ltd, Beijing 100045, China
Fufeng Miao: Henan Electric Power Company Economic Research Institute, Zhengzhou 450052, China

Energies, 2017, vol. 10, issue 8, 1-16

Abstract: The fluctuations of wind power impact the stable operation of a power system as its penetration grows high. Energy storage may be a potential solution to suppress these fluctuations and has drawn much attention in recent years. As the time scale of wind power fluctuations is in a range of seconds to hours, multi-type energy storage with complementary characteristics, such as the combination of energy-type storage devices (ESD) and power-type storage device (PSD), may be technically and economically feasible to suppress multi-time-scale wind power fluctuations. Therefore, system control is very important when the power allocation among each of the energy storage units is considered. In this paper, a novel coordinated control strategy based on model predictive control (MPC) was proposed for wind power fluctuation suppression, which employs MPC for the total power required for the whole energy storage system and then allocates it between ESD and PSD with the low-pass filter algorithm (LFA) method. Due to the predictive feature of MPC, the power requirement of the energy storage system can be obtained with little time delay, which means less energy is needed. The effectiveness of the proposed control strategy was verified in a time-domain simulation system. The influence of wind speed conditions and LFA time constant on the wind/storage system were further discussed.

Keywords: wind power; fluctuations suppression; energy storage; model predictive control; low-pass filter algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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