Control of Hydrostatic Transmission Wind Turbine -...

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Optimal Aerodynamic Energy Capture Strategies for Hydrostatic Transmission Wind Turbine Danop Rajabhandharaks Ping Hsu July 25, 2014 Department of Electrical Engineering, San Jose State University 1

Transcript of Control of Hydrostatic Transmission Wind Turbine -...

Page 1: Control of Hydrostatic Transmission Wind Turbine - IEEEsites.ieee.org/.../03/...for-Hydrostatic-Transmission-Wind-Turbine.pdf · maximize aerodynamic energy capture for the hydrostatic

Optimal Aerodynamic Energy Capture Strategies for Hydrostatic

Transmission Wind Turbine

Danop Rajabhandharaks

Ping Hsu

July 25, 2014

Department of Electrical Engineering, San Jose State University 1

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Background

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Shortcomings for Conventional Wind Turbine: 1. Gearbox (step up) reliability issue (failed every 5 years). 2. Weight of gearbox and generator in the nacelle increases

production, transportation, installation, and maintenance costs. If the weight can be lowered, the costs can be decreased.

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Background

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Hydrostatic Transmission Wind Turbine: 1. Gearbox is removed 2. Weight of the nacelle can be reduced by moving generator

to ground, potentially reduce production, transportation, installation, and maintenance costs.

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Objective

• The objective of this study is to develop a control strategy to maximize aerodynamic energy capture for the hydrostatic transmission wind turbine taking into account the hydraulic motor and generator on the ground level. • A single turbine

• A double turbine

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System Model

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System Model

Pwind: Raw power from wind Protor: Power available at rotor trotor: Torque asserted at rotor

Cp: Power coefficient U: Wind speed A: Swept area R: Blade radius rair:Air density

l: Tip-speed ratio wr:Rotor speed Jr: Rotor inertia

Vp: Pump displacement DPp: Differential pressure at pump

hmech,p: Pump mechanical efficiency b:pitch angle

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“Newton’s Second Law”

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System Model Dpx: Differential pressure at pipe center

Dpp: Differential pressure at pump Dpm: Differential pressure at motor

dp: Pressure drop along pipe bfluid: Fluid bulk modulus

Vfluid: Total fluid volume in pipe Vp: Pump displacement Vm: Motor displacement

kleak,(p or m): pump/motor leakage coefficient

Lpipe: Pipe length Dpipe: Pipe diameter

Apipe: Pipe cross-sectional area rfluid:Fluid density

Q,Qpipe: Fluid flow rate in pipe f: Friction factor

nfluid: Fluid kinematic viscosity rpipe: Roughness of pipe

Re: Reynold number 7

“Continuity Equation”

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System Model

wm:Motor speed wsync:Synchronous speed

Ks: Synchronizing torque coefficient Kd: Damping torque coefficient qgrid: Phase of the grid voltage

qm: Synchronous generator mechanical angle

Jm: Rotor inertia Vm: Motor displacement

DPm: Differential pressure at motor hmech,m: Pump mechanical efficiency

tload:Torque load from synchronous generator

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“Newton’s Second Law”

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Control Strategy

Control Strategy:

1. Maximize power coefficient by controlling hydraulic pump displacement

2. Maximize transmission coefficient by controlling hydraulic motor displacement

Power Coefficient

Pump Loss Motor Loss Friction Loss

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Strategy 1: Maximize Cp

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Strategy 2: Maximize CT

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Control Realization

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Steady State Operating Point

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System Dynamics

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System Dynamics

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Two Turbines Configuration

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#1

#2

Control Strategy 1

Control Strategy 2

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Two Turbines Configuration

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Two Turbines Configuration

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Two Turbines Configuration

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#1

#2 If one turbine is running at higher rotor speed than the other one, the pump differential pressure for both turbines will be at a high value, following the one that is running at the high speed and kleak,pDpp will be at a high value as well. If Vpwr cannot overcome kleak,pDpp, the power from the low speed turbine won’t contribute to the power generation.

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Conclusion

In this study, control strategies are proposed for wind turbines that use a hydrostatic transmission system with the hydraulic pump in the nacelle and the hydraulic motor and the synchronous generator on the ground level to optimize wind energy capture

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Single Turbine Configuration

Double Turbine Configuration

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Acknowledgement

I would like to thank you Dr. Ping Hsu for his kind advice and motivation for me to accomplish this study.

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Any Question?

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