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https://doi.org/10.1109/isgt-e...
Conference object . 2022 . Peer-reviewed
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Modelling and Control of Wind Turbine and Battery Energy Storage System for Grid Integration

Authors: Khoubseresht, Omid; Rajabinezhad, Mohamadamin; Ahmadi, Bahman; Shirazi, Elham;

Modelling and Control of Wind Turbine and Battery Energy Storage System for Grid Integration

Abstract

The benefits of renewable energy sources (RES) are undeniable, despite the fact that controlling their output power is complicated due to their intermittent nature. In this paper, a new set of analytical formulations has been proposed for simultaneous integration and control of wind turbine (WT) and battery energy storage system (BESS) considering the time-varying load models, and resources uncertainty. The objective functions of this method include smoothing the output power of the WT unit, balancing demand and generation, increasing WT shares as well as decreasing the automatic generation control (AGC) reserve capacity which is essential in the gird. In addition, the modification of BESS reference current is considered to prolong the BESS effective lifetime and guarantee the prevention of BESS from over-charge and discharge. The results show that simultaneous integration of WT and BESS in the grid will smooth WT output power, balance load and WT generation, thereby reducing AGC required capacity and increasing the hosting capacity of grids effectively.

Country
Netherlands
Related Organizations
Keywords

Uncertainty, Smart grids, 22/4 OA procedure, Renewable energy sources, Batteries, Wind turbines, Fluctuations, SDG 7 - Affordable and Clean Energy, Automatic generation control

  • BIP!
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average