A new control scheme in a battery energy storage system for wind turbine generators

Babazadeh, H.; Gao, Wenzhong; Duncan, K.

doi:10.1109/pesgm.2012.6345722

Cited by 14 publications

(12 citation statements)

References 6 publications

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“…Comparison with a conventional DPC scheme shows that the proposed scheme achieves better performance in terms of power tracking. Future work includes developing a more precise model for BESS, deriving an analytical relation between chance constraint satisfaction probability and control performance, considering the variation of discharge efficiency, and incorporating the total battery lifetime into the objective function; the remaining battery lifetime model in [30] may open the possibility to address this issue. …”

Section: Discussionmentioning

confidence: 99%

Coordinated Predictive Control of DFIG-Based Wind-Battery Hybrid Systems: Using Non-Gaussian Wind Power Predictive Distributions

Kou

Liang

Gao

et al. 2015

IEEE Trans. Energy Convers.

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To improve the wind energy dispatchability in the presence of non-Gaussian wind power uncertainties, this paper presents a stochastic coordinated control scheme for the doublyfed-induction-generator-based wind-battery hybrid systems (WBHS). The proposed control scheme has a two-layer structure. Based on the non-Gaussian distributional wind power forecasts, an upper layer stochastic predictive controller coordinates the operation of wind and battery subsystems. The computed power references are passed to the lower layer wind and battery controllers for execution. This way, the combined power output of WBHS is brought to the desired dispatch levels. The salient feature of the proposed scheme is that it optimizes the control actions over the non-Gaussian wind power predictive distributions, thus handling the non-Gaussian uncertainties in wind power. The simulation results on actual wind data demonstrate the effectiveness of the proposed scheme.Index Terms-Battery energy storage, doubly-fed induction generator (DFIG), predictive control, probabilistic forecast, stochastic optimization, wind energy.

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Section: Discussionmentioning

confidence: 99%

Coordinated Predictive Control of DFIG-Based Wind-Battery Hybrid Systems: Using Non-Gaussian Wind Power Predictive Distributions

Kou

Liang

Gao

et al. 2015

IEEE Trans. Energy Convers.

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“…A two level VSC is used to link DC and AC grids. Peak current-mode control approach [2] is exploited for real/reactive power control at AC side. Thus, the amplitude and the phase angle of the VSC terminal voltage are controlled in a d q rotating reference frame.…”

Section: Grid Side Vsc Control Methodsmentioning

confidence: 99%

“…The model is developed in the MATLAB/Simulink (Matlab2007a) and implemented in power system toolboxes. This model is a useful tool for studying the various operational aspects of micro turbines [2]. This paper presents an advanced control strategy for the rotor and grid side converters of the doubly fed induction generator (DFIG) based wind turbine (WT) to enhance the low-voltage ride-through (LVRT) capability according to the grid connection requirement.…”

Section: Introductionmentioning

confidence: 99%

Control Strategy for Distributed Integration of Photovoltaic and Energy Storage and Wind Power Systems in DC Micro-Grid

Panjei¹

2017

JEEE

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Abstract:Small DC networks to communicate effectively with a variety of output sources such as photovoltaic systems and wind energy storage systems,. If in addition the system DC power is fed over the need to transform and rectify AC network resources compared with a small decrease. Use most of the renewable energy the different factors fine network operates independently suggestions have been. When the system is network -independent, and the exploitation of natural and production of active power by a converter AC balance will be funded constant DC voltage is guaranteed Successful performance of the system in different positions by a coordinated strategy on energy storage systems and photovoltaic systems and wind energy will be discussed And about time management including load and battery state is considering proposals have been Differences by network performance monitoring method is specified MATLAB / SIMULINK, simulation proved strong on performance and determining the status of various systems and control function is proposed.

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“…This paper researched economic dispatch analysis of wind power integration into power system with energy storage systems, considering the energy storage system power, capacity, state maintenance time, ramp rate and other constraints, by predicting wind power, using scenario analysis power system total generation cost minimization as the optimization target, achieving cost-effective operation in the case of wind power added to the grid. And energy storage systems open outages, output of wind turbines, the acceptance of wind power, balanced load distribution of wind turbines and reduced the cost of electricity were tested through practical example [1,2].…”

Section: Introductionmentioning

confidence: 99%

Economic dispatch analysis of wind power integration into power system with energy storage systems

Yan

Xing

et al. 2015

2015 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD)

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To ensure the security, stability and economic operation of the grid, energy storage system had been widely used in power system. Improving the flexibility of the network by regulating the power and operational status, and also to achieve the economic dispatch purpose. Firstly, in this paper, considering the power, capacity, state maintenance time, ramp rate and other constraints of the energy storage system, combining with wind turbine output, open downtime and other constraints. To establish the steady-state model of the energy storage system and UNIT scheduling model, then by predicting wind power and using scenario analysis to achieve minimize the cost of total power production spend, achieving cost-effective operation in the case of wind power connected to the grid. At last, balancing the load distribution of the wind turbines to reduce the generation cost. From analysis the practical example, the effect of energy storage systems on wind turbines' working statues, and the acceptance of wind power.

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A new control scheme in a battery energy storage system for wind turbine generators

Cited by 14 publications

References 6 publications

Coordinated Predictive Control of DFIG-Based Wind-Battery Hybrid Systems: Using Non-Gaussian Wind Power Predictive Distributions

Coordinated Predictive Control of DFIG-Based Wind-Battery Hybrid Systems: Using Non-Gaussian Wind Power Predictive Distributions

Control Strategy for Distributed Integration of Photovoltaic and Energy Storage and Wind Power Systems in DC Micro-Grid

Economic dispatch analysis of wind power integration into power system with energy storage systems

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