STORAGE SYSTEM PV APPLICATIONS

Transcription

1 Technical University of Graz, April 2012 «Modelling and control using Energetic Macroscopic Representation» «EMR AND INVERSION-BASED CONTROL OF A HYBRID STORAGE SYSTEM PV APPLICATIONS» FOR PV A I. M. Garcia-Herreros, A. Bouscayrol, (University of Lille, France) P. Barrade, A. Rufer (EPF Lausanne, Switzerland) 1

2 - Introduction - 2 LEI Lausanne (CH) Hybrid storage system using air compressed accumulator and supercapacitors (F) Energetic Macroscopic Representation (EMR) for modelling and control EMR of the hybrid storage system for other energy management for new control laws Outline: 1. Hybrid storage system 2. EMR of the hybrid storage system 3. Inversion-based control of the system 4. Energy managment

3 Technical University of Graz, April 2012 «Modelling and control using Energetic Macroscopic Representation» 1. DESCRIPTIOND OF THE SYSTEMYSTEM

4 - Hybrid Storage System - 4 PV panel DC/DC DC/AC supercapacitor bank DC/DC DC/AC PMSM compressed air accumulators hydraulic machine [Lemoufouet & al. 2006] Hybrid storage system instead of batteries tank

5 - Experimental set-up - 5 auxiliary accumulator DC/DC DC/AC main accumulator PMSM compressed air accumulators supercapacitor bank hydraulic machine [Lemoufouet & al. 2006] Hybrid storage system instead of batteries tank

6 Technical University of Graz, April 2012 «Modelling and control using Energetic Macroscopic Representation» 2. EMR OF THE SYSTEMYSTEM

7 - EMR of the hybrid storage system - 7 PV panel DC/DC DC/AC supercapacitor bank DC/DC DC/AC PMSM compressed air accumulators hydraulic machine tank

8 - EMR of the hybrid storage system - 8 filter 1 chopper 1 PV i pv PV upanel C1 i L1 DC/DC i chop1 DC/AC u C1 i L1 u chop1 m chop1 supercapacitor bank DC/DC DC/AC PMSM compressed air accumulators hydraulic machine tank

9 - EMR of the hybrid storage system - 9 filter 1 chopper 1 dc bus VSI 1 filter 3 PV i pv PV upanel C1 i L1 DC/DC i chop1 i tot u vsi1 DC/AC u C2 load u C1 i L1 u chop1 i vsi1 u C2 i load m chop1 m vsi1 supercapacitor bank DC/DC DC/AC PMSM compressed air accumulators hydraulic machine tank

10 - EMR of the hybrid storage system - 10 filter 1 chopper 1 dc bus VSI 1 filter 3 PV i pv PV upanel C1 i L1 DC/DC i chop1 i tot u vsi1 DC/AC u C2 load u C1 i L1 u chop1 i vsi1 u C2 i load m chop1 m vsi1 u scaps i filt i chop2 Scaps i filt u chop2 m chop2 supercapacitor filter 2 chopper 2 bank DC/DC DC/AC PMSM compressed air accumulators hydraulic machine tank

11 - EMR of the hybrid storage system - 11 filter 1 chopper 1 dc bus VSI 1 filter 3 PV i pv u C1 PV upanel C1 i L1 DC/DC i L1 i chop1 DC/AC u chop1 m chop1 supercapacitor filter 2 chopper 2 bank i tot i vsi1 u vsi1 load DC/DC u DC/AC vsi2 i sm u C2 Scaps u scaps i filt i filt u chop2 m chop2 i chop2 i vsi2 i sm m vsi2 e sm m vsi1 T sm PMSM shaft shaft T hm u C2 q hm VSI 2 PMSM hydraulic machine i load air compressed accumulators q hydraulic machine p valv m valv valve tank air accumulator q p air q p atm tank

12 - Accumulator modelling as isothermal conversion - 12 Equivalent Source VSI 2 PMSM hydraulic machine valve air accumulator q ES u vsi2 i sm T sm shaft q hm q p air i vsi2 i sm e sm shaft T hm p valv q s vsi2 m valv PV nrt ideal gas law cste V V 0 q dt V V air cste p atm p air p V 0 V air 0 a polytropic model has been developed [Bossmann 2007] q V V air p air p air

13 - Analysis of the hybrid storage system - 13 generation part dc bus grid interface PV i pv u C1 i L1 i chop1 i tot u vsi1 u C2 load u C1 i L1 u chop1 i vsi1 u C2 i load m chop1 i tot m vsi1 Scaps u scaps i filt i filt u chop2 m chop2 i chop2 auxiliary accumulator u vsi2 i sm tuning inputs: n tun =5 i vsi2 m vsi2 i sm e sm main accumulator ms T sm shaft q hm q shaft T hm objectives: n obj =2 (u supply, P PVmax ) constraints: n cons =3 (E acc,, ms ) p valv q p air m valv q p atm

14 Technical University of Graz, April 2012 «Modelling and control using Energetic Macroscopic Representation» 3. Inversed-based control

15 - Tuning paths - 15 generation part dc bus grid interface PV i pv u C1 i L1 i chop1 i tot u vsi1 u C2 load u C1 i L1 u chop1 i vsi1 u C2 i load m chop1 i tot m vsi1 Scaps u scaps i filt i filt u chop2 m chop2 i chop2 auxiliary accumulator u vsi2 i sm main accumulator ms T sm shaft q hm q q p air m chop1 u C1 P PV-max i vsi2 i sm m vsi2 e sm shaft T hm p valv m valv q m chop2 m vsi1 u C2 user m vsi21 m vsi22 ms q E store p atm

16 - MPPT of the PV sub-system - generation part equivalent source 16 i pv u C1 i L1 i chop1 PV ES u C1 i L1 u chop1 m chop1 800 P PV (W) MPPT u C1-ref i L1-ref u chop1-ref P meas «Maximum Power Point Tracking» Strategy U C1 (V) u C1-ref

17 Scaps u scaps generation part auxiliary accumulator u chop2 m chop2 - Control of the DC bus voltage - GP i chop2 i chop1 i vsi2 i tot i tot main accumulator Acc i vsi1 GI grid interface 17 -ref u chop2-ref i chop1-meas -ref [Lhomme 04] i chop-ref itot1-ref i tot2-ref -ref

18 dc bus - Conrol of the supply voltage - grid interface 18 u vsi1 u C2 Bus load i vsi1 m vsi1 u C2 i load u vsi1-ref -ref u C2-ref

19 - MEPT of the air compressed accumulator - DC bus VSI 2 PMSM hydraulic machine valve 19 air accumulator ms q Bus u vsi2 i sm T sm shaft q hm q p air i vsi2 m vsi2 i sm e sm shaft T hm p valv m valv q p atm u vsi2-ref i sm-ref i sd-ref T sm-ref shaft-ref tank «Maximum Efficiency Point Tracking» [Lemoufouet 05] MEPT ON/OFF E Acc =f(q )=f( shaft )

20 Technical University of Graz, April 2012 «Modelling and control using Energetic Macroscopic Representation» 4. Energy Management 20

21 - Global control scheme - 21 PV load MPPT ON/OFF Scaps MEPT -ref ON/OFF

22 - Global energy management - 22 MPPT ON/OFF GP Acc2 ES u C2-ref Equivalent controled sources Petri net -ref Acc1 supervision P PV P user u scapeaccu ON/OFF shaft-ref MEPT Example If (P PV >P user ) and E acc = E max then stop MPPT

23 - Simulation results (1) P PV P user Puissance PPV Puissance Consommée Puissance (kw) h 7h 8h 9h 10h 11h 12h 13h 14h 15h 16h 17h 18h 19h 20h 21h 22h 23h 0h 1h 2h 3h 4h 5h 6h.8 Puissance (kw) P store-ref P store -.6 6h 7h 8h 9h 10h 11h 12h 13h 14h 15h 16h 17h 18h 19h 20h 21h 22h 23h 0h 1h 2h 3h 4h 5h 6h

24 - Simulation results (2) Tension SCaps (V) Pression Accumulateur (bars) h 7h 8h 9h 10h 11h 12h 13h 14h 15h 16h 17h 18h 19h 20h 21h 22h 23h 0h 1h 2h 3h 4h 5h 6h h 7h 8h 9h 10h 11h 12h 13h 14h 15h 16h 17h 18h 19h 20h 21h 22h 23h 0h 1h 2h 3h 4h 5h 6h t (h) E accu = f ( a T accu, P accu,t) Supercapacitor voltage u scaps (V) Pressure air compressed P accu (bars)

25 - Simulation results (3) DC bus voltage (V) Tension Bus DC (V) h 7h 8h 9h 10h 11h 12h 13h 14h 15h 16h 17h 18h 19h 20h 21h 22h 23h 0h 1h 2h 3h 4h 5h 6h Puissance (kw) Power Acc2 (kw) -12 6h 7h 8h 9h 10h 11h 12h 13h 14h 15h 16h 17h 18h 19h 20h 21h 22h 23h 24h 1h 2h 3h 4h 5h 6h

26 Technical University of Graz, April 2012 «Modelling and control using Energetic Macroscopic Representation» CONCLUSION Energy management of a hybrid storage system the hybrid storage system ensures a high efficiency the control of the system is complex EMR is useful to define the different control levels Universal language???? Perspectives extension to a new hybrid storage system New prototypes under realization for industrialization

27 Technical University of Graz, April 2012 «Modelling and control using Energetic Macroscopic Representation» Bibliography [1] S. Lemofouet, A. Rufer, "A Hybrid Energy Storage System Based on Compressed Air and Supercapacitors With Maximum Efficiency Point Tracking (MEPT)", IEEE trans on. Industrial electronics, Vol. 53, no. 4, August 2006, pp [2] S. Lemofouet, A. Rufer, "Energetic Performance of a Hybrid Energy Storage System based on Compressed Air and Super Capacitors", SPEEDAM'06, Taormina (Italy), May [3] S. Lemofouet, A. Rufer, "Hybrid Energy Storage Systems based on Compressed Air and Supercapacitors with Maximum Efficiency Point Tracking", EPE 2005, Dresden (Germany), September [4] T. Bossmann, A. Bouscayrol, P. Barrade, S. Lemoufouet, A. Rufer, "Energetic Macroscopic Representation of a hybrid storage system based on supercapacitors and compressed air", IEEE-ISIE'07, Vigo (Spain), June 2007, (common paper L2EP Lille and EPF Lausanne) [5] S. Lemofouet, Investigation and optimization of of conversion solutions for hybrid energy storage system based on compressed air and supercapacitors", PhD Dissertation, EPF Lausanne, August [6] I. M. Garcia-Herreros, "Inversion-based control of a hybrid storage system using air compressed accumulator", Master Dissertation, University of Lille (Text in French), June.