Hardware Implementation of Droop Control for Isolated AC Microgrid - - PowerPoint PPT Presentation

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Hardware Implementation of Droop Control for Isolated AC Microgrid - - PowerPoint PPT Presentation

Hardware Implementation of Droop Control for Isolated AC Microgrid By: Cristina Guzman Alben Cardenas Kodjo Agbossou Universit du Qubec Trois-Rivires Qubec-Canada Outline Introduction Droops


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SLIDE 1

Hardware Implementation of Droop Control for Isolated AC Microgrid

By:

Cristina Guzman

Alben Cardenas Kodjo Agbossou

Université du Québec à Trois-Rivières Québec-Canada

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SLIDE 2

Introduction Droops control principle ADALINE estimation technique Hardware implementation of ADALINE and Droops control Co-simulation results Experimental results Conclusion Outline

2

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SLIDE 3

Smart Grid: Integration of DER privileging Renewable energy using Voltage Source Inverters (VSI)

Introduction

Power electronics interfaces VSI Energy storage system VSI VSI

3

Alternative and distributed energy source

G

WG DC Link

Electrolyser H2

H

O

Fuel cell

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SLIDE 4

Literature propositions made around the stability

  • f the isolated microgrids.

Techniques based on Communication control Local control Techniques Combined Local control with communication

Introduction

Interfaces de puissance VSI VSI VSI

PCC Distortion currents Line impedances

4

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SLIDE 5

Droops control principle

jQ P S

) cos( cos

2 2 1

Z V Z V V P ) sin( sin

2 2 1

Z V Z V V Q sin

2 1

Z V V P Z V Z V V Q

2 2 1

cos

* * P P m w w * * Q Q n V V

2 1 V

V P X

1 2 1

V Q X V V

Basic representation of VSI power sharing

5

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SLIDE 6

Basic representation of VSI power sharing Droops control principle

V

w ΔV Δw w0

n m

P0 Pmax

P Q

(W)

(var) –Qmax Qmax Q0

V0

* * P P m w w * * Q Q n V V

6

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SLIDE 7

ADALINE estimation technique

) ( ) ( ) ( ˆ k X k W k y

T

) ( ) ( ) ( ) 1 ( k X k e N k W k W ) ( ˆ ) ( ) ( k y k y k e ) cos( ) sin( ) cos( ) sin( t N t N t t X 

N N

A B A B W 

1 1

y(k)

Widrow-Hoff learning rule

Estimated signal Measured signal Estimation error ADALINE :Adaptive Neural Network Weight vector W + _

1

)] sin( ) cos( [ ) (

n n n PCC

t n B t n A A t V

X pattern vector Fourier decomposition

7

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SLIDE 8

Hardware implementation of Droops and ADALINE control

8

Voltage Control PWM VSI

V_REF_Droops

I0

Droops Control

Frequency Droop w/P

I1 V0 V1

s k k

i

p

V_REF_mod

Vdroop fdroop ADALINE S&H x

Voltage Droop V/Q

P&Q

calculus

  • +

x

  • +

Imes

P Q

VF DDS

Sine wave generator

V_LD

Mn Nn

wref

Vref

Vmes

Vmes

Vmes

Conventional V/f Droops and ADALINE based voltage control

IGBT VSI

VLD VDC

8

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SLIDE 9

Hardware implementation of Droops and ADALINE control

9

dW Qmes

powergui Continuous

Wref 120 *pi Vref 115*sqrt(2) Sat4 sel d0 d1 z-1 Sat3 sel d0 d1 z-1 Sat 2 sel d0 d1 z-1 Sat1 sel d0 d1 z-1 Relational 4 a b a<b z-1 Relational 3 a b a>b z-1 Relational 2 a b a<b z-1 Relational 1 a b a>b z-1 Q_estime P_estime N 0.0326 /2 Mult 2 a b (ab) z-3 Mult 1 a b (ab) z-3 Mult a b (ab) z-3 M 0.0038 /2 Gain 3 1 Gain 1 FILTRE _8MS3 In18f7 h1ms Out_18f 7 FILTRE _8MS2 In18f7 h1ms Out_18f 7 E4_N

In

E3_M

In

E2_V_REF

In

E1_W_REF

In

Delay 3 z-1 Delay 2 z-1 Delay 14 z-1 Delay 13 z-1 Delay 12 z-1 Delay 11 z-1 Delay 1 z-1 Delay z-1 Convert 5 cast Convert 4 cast Convert 3 cast Convert 2 cast Convert 1 cast Convert cast Constant 8 0.159149169921875 Constant 3

  • 8.4852294921875

Constant 2 8.4852294921875 Constant 1

  • 7.539794921875

Constant 7.539794921875 AddSub 1 a b a - b z-1 AddSub a b a - b z-1 System Generator

Simulink functional blocks diagram of the conventional Droops System generator functional blocks diagram of the conventional Droops control

9

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SLIDE 10

Real scenario /Simulation and experimental VSI characteristics Hardware implementation of Droops and ADALINE control

Description (units) VSI1 VSI2

Switching frequency (kHz) 12 12 IGBT max. current and voltage (A) (V) 16, 600 16, 600 Filter inductor (mH) 17 12 Filter capacitor (µF) 3 1 Resistive line value (mΩ) 21.8 38.6 Inductive line value (µH) 90 170 Coefficient m value 3.9035e-4 2.5466e-4 Coefficient n value 0.0066 0.0047

The inverters characteristics are similar but not identical; the inverters output filters local synchronization and control of inverters; different line impedances between VSI output and PCC; m and n are calculated as a function of the VSI powers.

           

10

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SLIDE 11

Experimental set-up system

PC Windows Matlab/Simulink /Xilinx User Interface USB-JTAG Link Xilinx FPGA XUP V2P Board xc2vp30-7ff896 Output filter 195V DC source VSI control and protection signals Measurement board (ADC and isolation circuits)

LEM-LV25 LEM-LAH-50P

One VSI system

Current and voltage LEM Sensors

LOAD

11

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SLIDE 12

Hardware implementation of Droops and ADALINE control

Two VSI system Test bench

195 V DC source 195V DC source FPGA measurement control FPGA measurement control Line emulators Line emulators

VSI 1 VSI 2

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SLIDE 13

Two converters evaluation Co-simulation results

0.1 0.2 0.3 0.4 0.5 0.6 59 59.5 60 60.5 61 Time(s) Frequency (Hz) 0.1 0.2 0.3 0.4 0.5 0.6 150 155 160 165 170 Time(s) Voltage (V) Droop Inv1 Estimated Inv1 Droop Inv2 Estimated Inv2 0.1 0.2 0.3 0.4 0.5 0.6

  • 5

5 Time(s) Current (A) Inverter 1 Inverter 2 0.1 0.2 0.3 0.4 0.5 0.6

  • 200
  • 100

100 200 Time(s) Voltage (V) Inverter 1 Inverter 2

Simulating the same characteristics physiques Synchronization imposes of VSI is made automatically Negligible effects

  • n voltage THD

The output voltage is not affected Good power sharing

13

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SLIDE 14

Test 1: one VSI experimental validation Experimental results

Verification of the correct operation of the implemented droop/ADALINE control.

58 58.5 59 59.5 60 60.5 61 61.5 62

  • 50

50 100 150 200 Time (s) Puissance (W)/ (VAR) Active Reactive 58 58.5 59 59.5 60 60.5 61 61.5 62 59.6 59.7 59.8 59.9 60 60.1 60.2 Time (s) Estimated frequency Droop Estimated 58 58.5 59 59.5 60 60.5 61 61.5 62 130 135 140 145 150 Time (s) Peak Voltage V droop Vc estimated

Load variations Voltage estimation is well achieved Frequency inside the permitted limits

14

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SLIDE 15

Test 2: Two parallel VSI experimental results Experimental results

VSI1 VSI2

Power

t1 t2 t3 t4 t5

15

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SLIDE 16

Frequency

VSI2

Test 2: Two parallel VSI experimental results Experimental results

VSI1

t1 t2 t3 t4 t5

16

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SLIDE 17

Voltage

VSI2

Test 2: Two parallel VSI experimental results Experimental results

VSI1

t1 t2 t3 t4 t5

17

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SLIDE 18

Implementation cost of control algorithms for the Xilinx xc2vp30-7ff896 FPGA Experimental results

Resource Used Available % Usage

Slices

7,122 13,696 52%

4 input LUTs

11,698 27,392 42%

RAMB16s

66 136 48%

MULT18X18s

76 136 55%

FPGA Slices

Used Available

18

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SLIDE 19

Real view of the Droops control / VF-ADALINE network for VSI synchronization and load sharing in a microgrid. The FPGA implementation has permitted a real- time control and power analysis without communication between VSIs Good steady and transient response using ADALINE based control. Current and future works: advanced local control strategies going forward future smart microgrids.

Conclusion

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SLIDE 20

Thank you!

Question time!

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SLIDE 21

Anexe

Experimental setup parameters: AC Power Source: 120VAC/60Hz. Signals sampling period: T s =10µs. FPGA clock period: T FPGA =10ns. Fundamental frequency: f 0 =60Hz ROM sine table length: 2P=215 Power electronics converter characteristics: Voltage Source Inverters: 16A, 600V IGBT full bridge (IRAMX16UP60A) DC source voltage: 195V.