Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62228
Title: Dispatching of wind/battery energy storage hybrid systems using inner point method-based model predictive control
Authors: Yang, D
Wen, J
Chan, KW 
Cai, G
Issue Date: 2016
Source: Energies, Aug. 2016, v. 9, no. 8, p. 1-16
Abstract: The application of large scale energy storage makes wind farms more dispatchable, which lowers operating risks to the grid from interconnected large scale wind farms. In order to make full use of the flexibility and controllability of energy storage to improve the schedulability of wind farms, this paper presents a rolling and dispatching control strategy with a battery energy storage system (BESS) based on model predictive control (MPC). The proposed control scheme firstly plans expected output, i.e., dispatching order, of a wind/battery energy storage hybrid system based on the predicted output of the wind farm, then calculates the order in the predictive horizon with the receding horizon optimization and the limitations of energy storage such as state of charge and depth of charge/discharge to maintain the combination of active output of the wind farm and the BESS to track dispatching order at the extreme. The paper shows and analyses the effectiveness of the proposed strategy with different sizes of capacity of the BESS based on the actual output of a certain actual wind farm in the northeast of China. The results show that the proposed strategy that controls the BESS could improve the schedulability of the wind farm and maintain smooth output of wind/battery energy storage hybrid system while tracking the dispatching orders. When the capacity of the BESS is 20% or the rated capacity of the wind farm, the mean dispatching error is only 0.153% of the rated capacity of the wind farm.
Keywords: Battery energy storage
Combination active output
Dispatching curve
Wind power
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Energies 
EISSN: 1996-1073
DOI: 10.3390/en9080629
Rights: © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Yang, D., Wen, J., Chan, K. W., & Cai, G. (2016). Dispatching of wind/battery energy storage hybrid systems using inner point method-based model predictive control. Energies, 9(8), (Suppl. ), - is available athttps://dx.doi.org/10.3390/en9080629
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