Présentation au sujet: "Algiers the 30th October 2013, Tassili, Hilton Hotel."— Transcription de la présentation:
1 Algiers the 30th October 2013, Tassili, Hilton Hotel. 3th International Conference on Systems and Control (ICSC’13)29-31 October 2013, Hotel Hilton, Algiers, AlgeriaTitle:Fuzzy Logic Control Algorithm of Grid Connected Doubly Fed Induction Generator driven by Vertical Axis Wind Turbine in Variable SpeedPresented by: Ridha CHEIKHResearcher at Solar Equipments Development Unit, UDES, EPST/CDERAlgiers the 30th October 2013, Tassili, Hilton Hotel.
3 Introduction ALGERIA & RENEWABLE ENERGY (IRENA STATISTICS in 2009): Renewables Electrical Supply: 3.6 PJ (0.2 % of the total supply)Renewables generation: 342 GWh (0.8 % of the total Electricity generation)Renewables capacity: 280 MW (3.4 %).POTENTIAL :Wind energy is one of the most rapidly growing sources of electricity all over the world. Thus It is predicted that 12% of the total world electricity demands will be supplied from wind energy by 2020.Producing a balanced electrical power facing to the non regularity of the wind is still the main challenge in WECS.Advanced control Techniques is a major player in Wind Power industry development.
4 System description:3 Kw (average power) a Savonuis Vertical Axis Wind Turbine.Residential application (buildings, Street Lighting…etc)WECSystem Main Parts :Wind
5 System Modeling Wind Speed & Wind turbine Modeling: V(t)=6+0.2*sin(0.1047*t)+2*sin(0.2665*t)+sin(1.2930*t)+0.2*sin(3.6645*t)The extracted power from the wind by the Savonuis wind turbine is:
6 System Modeling The DFIM Complex model: Current-Flux equations: Electromagnetic Torque expression:Active & Reactive powers expression:
7 Oriented flux strategy : Control StrategyOriented flux strategy :If the virtual grid flux vector is aligned on the d axis it is found that:d-axisswRotor-ref-axisAnd after calculation :q-axiswqsqStator-ref-axisSo,
8 The above equations are coupled between themselves, so the coupling terms are considered as disturbances to be removed by the control, for this purpose, an optimized fuzzy logic controller is proposed in order to control the stator powers flow with desired performance. This type of controllers is chosen due to its competence in control and its implementation simplicity.
9 Due to the very fast-growing information technology, industry has already developed and released a few good design packages which can be successfully applied in different applications for a fuzzy controller design. Among them are: RT/Fuzzy Toolbox for MATRIXxTM by Integrated Systems Inc., Fuzzy Logic Toolbox for MATLABTM by The MathWorks Inc.,…etc.Fuzzy Logic Toolbox for MATLABTM is chosen to design our Fuzzy controller.
10 General block diagram of DFIG control scheme. Control StrategyGeneral block diagram of DFIG control scheme.
12 Fuzzification Méthode: All of the Fuzzy controller input andoutput have a Triangular formMembership fonctions(easy in calculation)Inference Engine:Is a Mamdani-type and based onthe following rules table.Rules Table :e deBNMNSNVSNZEVSPSPMPBPNBNMNSPVSPSPMPB(P, N)=(Positive, Negative), (B, M, S,ZE) =(Big, Medium, Small, Zero) V=(Very).
13 These rules were wisely chosen according to prescribe specifications, taking into account the system stability and performances, thus are represented by the overshoot, rise time and the settle time of the fuzzy system response.Defuzification Method: Centre-of-area/gravity method is used in the defuzification procedure. even though it is very expensive in terms of calculation time, but it gives good results..Optimization of the input/output of the fuzzy controller:Optimization Algorithm blocA right conversion of the actual measured value and the fuzzy value of such kinds are acceptable in the fuzzy space (for the error and its derivative) and in real space (for the control -output-).
14 Maximum Power Point Tracking Strategy Several techniques can be used such as the gradient method, the estimate method…etc.In our case:Extracting the maximum wind power through the Savonuis wind turbine needs: Operating at variable speed +well-known of the Savonuis wind turbine aerofoil.
15 Simulation ResultsWind Speed (m/s)Stator Active Power Response
16 Stator Reactive Power Response Stator Power factorCp of the Vertical Axis Wind TurbineRotor Current (A)
17 ConclusionPoint out on the Renewable energy, (Wind) in Algeria (IRENA Statestics).3 Kw Residential Wind Energy Conversion System based on VerticalAxis Wind Turbine and Grid connected DFIG is proposed and modeled.Oriented Grid Flux Strategy has been investigated to remove thecomplexity issue of the WECSystem.Fuzzy Logic control algorithm is proposed using to control the statorpowers flow of the Grid-connected DFIG following to specifications.Maximum Power Point Tracking Strategy is included basing on theturbine aerofoil.Simulation tests have been done where they have shown the stabilityand robustness of the system .
18 Vertical Axis Wind Turbine Appendix (System data)ParametersValuesDFIGOutput power Pn/kW7.5Stator resistance Rs/Ω0.455Rotor resistance Rr/Ω0.62Stator inductance Ls /H0.084Rotor inductance Lr /H0.081Mutual inductance Msr/H0.078Number of pair poles2Inertia moment J/(N·m·s2)0.3125Rubbing factor F6.73e-3Vertical Axis Wind TurbineRated power KW7Density of air (ρ) kg/m31.2Area swept (Diameter×height) m240Rotor diameter m4Optimal coefficient Cpmax1.9Gearbox ratio