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Energies 2017, 10(8), 1212; https://doi.org/10.3390/en10081212

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

1
Institute of Electrical Engineering, Chinese Academy of Sciences, Haidian District, Beijing 100190, China
2
North China Electric Power Research Institute Co., Ltd, Beijing 100045, China
3
Henan Electric Power Company Economic Research Institute, Zhengzhou 450052, China
*
Author to whom correspondence should be addressed.
Received: 16 June 2017 / Revised: 19 July 2017 / Accepted: 7 August 2017 / Published: 15 August 2017
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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. View Full-Text
Keywords: wind power; fluctuations suppression; energy storage; model predictive control; low-pass filter algorithm wind power; fluctuations suppression; energy storage; model predictive control; low-pass filter algorithm
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Tang, X.; Sun, Y.; Zhou, G.; Miao, F. Coordinated Control of Multi-Type Energy Storage for Wind Power Fluctuation Suppression. Energies 2017, 10, 1212.

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