Abstract— Direct Power Control (DPC) technique has been widely used as control strategy for three-phase power rectifiers due to its simplicity and good performance. The DPC uses the instantaneous active and reactive power to control the power converter, the controller design has been proposed as a direct control with a look up table (LUT), and in recent works, as an indirect control with an inner control loop with proportional plus integral controllers for the instantaneous active and reactive power errors. In this paper a model-based DPC for three-phase power converters is designed, obtaining expressions for the input control signal which allow to design an adaptive control law minimizing the errors introduced by the parameters uncertainties as the smoothing inductor value or the grid frequency. Controller design process, stability study of the system and experimental results for a synchronous three-phase power rectifier prototype are presented to validate the proposed controller. Index Terms— Adaptive control, direct power control, power factor correction, power quality, three-phase power converters. I. INTRODUCTION ower rectifiers are well-known power systems for industrial applications as DC-bus supply to three-phase vector-controlled PWM inverters and DC-Loads and for the integration of renewable energy applications. Not controlled three-phase rectifiers have been widely used due to its reliability, robustness and low cost, at the expense of introducing energy losses in the transmission line and harmonic currents into the grid that not fulfil the new standards for the electric grid, IEEE-519 for USA and IEC 61000-3-2 and 61000-3-4 for Europe [1]-[4]. Due to these facts new power converter topologies and their control strategies fulfilling with these standards have been developed and studied in recent years [5]-[18]. Among these topologies, PWM regenerative rectifiers (Fig. 1) have some extra advantages as: bidirectional power flow, almost sinusoidal Manuscript received April 23, 2007. Accepted for publication November 21, 2007. This work was supported in part by the Andalusian Government under grant TIC-1172. Copyright (c) 2007 IEEE. Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending a request to
[email protected]. S.Vazquez, J. A. Sanchez, J. M. Carrasco, J. I. Leon, E. Galvan are with the Department of Electronic Engineering, University of Seville, 41092 Seville, Spain (e-mail:
[email protected]). currents, near unity power factor and regulation of dc-link voltage. Due to these facts the control of these power systems is currently one objective for the researchers. One of the most efficient control strategies for this system is Direct Power Control (DPC). DPC control strategy lies on the instantaneous reactive power theory introduced by Akagi et al. [19] and is based on the evaluation of the active and reactive instantaneous power errors values and the voltage vector position [20] or the Virtual-Flux vector position [21] without any internal control loop for the currents. The basic idea of DPC is to choose the best state of the power switches among the eight possible states in order to maintain the DC-Link voltage constant, and to keep the unity power factor. The vector selection is made through a Look Up Table (LUT), where the input variables are the voltage grid vector position and the instantaneous active and reactive power errors. This controller has the behaviour of a bang-bang controller, so the authors usually include a hysteresis band in order to reduce the controller gain. One drawback of this DPC controller is that it has not a constant switching frequency and in order to overcome this fact Pulse Width Modulation (PWM) and Space Vector Modulation (SVM) with constant switching frequency have been introduced [22]-[27]. However the main drawback of DPC is the high gain of the controller, and as consequence, the values of the input inductors have to be very large to attenuate the current ripple, increasing the cost, size and weight of the system. In order to reduce the input inductors values, LCL filters have been proposed to connect the power converter to the grid [28]-[30]. That solution has the drawback of the filter resonance so it has to be well studied. Besides, recently works have introduced predictive control strategies for the DPC [31]-[32]. Applications based on DPC have demonstrated that it is a simple and efficient control strategy achieving good dynamic performance and near unity power factor. However the smoothing inductances used to connect the power converter to the grid are still too large, increasing the cost, size and weight of the total system and reducing dynamics and operation range of PWM rectifier [33]. A controller design based on the system model can overcome this drawback optimizing the power system behaviour. Furthermore adaptive control strategies can be applied to minimize the errors introduced by the parameters uncertainties as the inductor value or the grid frequency. A model-based Direct Power Control for Three- Phase Power Converters Sergio Vazquez. Student Member, IEEE, Juan Antonio Sanchez, Juan Manuel Carrasco, Member, IEEE, Jose Ignacio Leon, Member, IEEE, Eduardo Galvan, Member, IEEE P
> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 2 This paper is organized as follows: Firstly the discrete model for a three-phase two-level rectifier is presented. Secondly, based on the system model the direct power control law is derived, and an adaptive control law and the stability study of the system are presented. In the last section of the paper experimental results are included and analyzed in order to verify the theoretical study that has been presented in the previous sections. 2 dc V a i c i b i an v cn v conv i Load i cap i 2 dc V bn v Fig. 1 Three-phase two level power converter. II. MODEL OF THE SYSTEM A three-phase two level power converter is depicted in Fig. 1, where the neutral point is denoted by n. The system is connected to the grid through smoothing inductors L, and it is assumed that a pure resistive load RL is connected at DC-Link capacitor C. The system parameters and variables are described in Table 1. TABLE 1 SYSTEM VARIABLES AND PARAMETERS Variable Description v ={va vb vc}T Phase to neutral input voltage vector i ={ia ib ic}T Phase input current vector d ={ d a d b d c}T Control input vector w Grid frequency L Smoothing inductor C Output capacitor RL Load resistance Vdc Output capacitor voltage The equations that describe the input currents dynamics and the output DC voltage dynamic can be derived from the system model. Following the technique presented in [34], the system model can be obtained in the stationary αβ frame [23]. 2 dc di V vL dt ab abab d =×+ (1) 22 22 T dcdcdc L VVV d Ci dtR abab d æö ×=- ç÷ èø (2) T Auu abab dd éù == ëû (3) 11 1 2 22 3 33 0 22 A éù -- êú êú =× êú - êú ëû (4) Equations (1) and (2) are the discrete model of the power converter in ab coordinates, the ab variables can be calculated as {·} ab =A{·}abc, where the matrix A is defined by (4). In these equations δαβ has been defined as (3) and it is assumed that Vdc is always positive. Fig. 2 shows the eight possible states of the switches in the ab frame, and Table 2 summarizes the possible switch positions in ab coordinates. TABLE 2 AVAILABLE SWITCH POSITIONS IN THE CONVERTER DISCRETE MODEL State u a u b U0 0 0 U1 2 2 3 0 U2 2 3 2 U3 2 3 - 2 U4 2 2 3 - 0 U5 2 3 - 2 - U6 2 3 2 - U7 0 0 a b Fig. 2 Switch positions in ab frame. The control objectives for the three-phase power converter are the following: (i) The instantaneous active power p and the instantaneous reactive power q should track their reference, p* and q* respectively, which are calculated in such way that the capacitor output voltage is regulated towards its reference and from the source terminals only instantaneous active power is supplied [19]. * * 0 pp qq ® ®® (5) Thus, DPC controls indirectly the currents provided by the source through the values of the instantaneous active and reactive power. (ii) The capacitor output voltage should be regulated towards its reference. * dcdc VV ® (6)
> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 3 III. CONTROL DESIGN The proposed controller for the system (1)-(2) is composed of an instantaneous power tracking (inner) loop and a voltage regulation (outer) loop. In what follows is described the design of the two control stages. A. Instantaneous power tracking loop The objective of the inner control loop is to guarantee tracking of p and q towards their references. The instantaneous active power reference, p*, is the output of the outer control loop, and is calculated in order to achieve DC- Link voltage regulation. The instantaneous reactive power reference, q*, is made zero in order to achieve unity power factor. In [23], it is shown that in the known parameters case, and assuming that input voltages are balanced and without harmonic content, the instantaneous active power first derivate over the time, . p, and the instantaneous reactive power first derivate over the time, . q, are expressed respectively as 2 12 Tdc V Lq Lpvv v ababab ab wd æö æö ç÷ ç÷ =+- ç÷ ç÷ ç÷ èø èø & (7) 2 2 TT dc Jv V LqvJLp v ab abab ab dw æö ç÷ =-- ç÷ èø & (8) Now the locus of dab points where (7) and (8) are made equal to the constants k1 and k2 respectively can be calculated. ( ) 12 11 2 2 pk dc v LqvkcJv Vv ab ababab ab dw = =+-+ & (9) ( ) 2 22 2 2 qk dc Jv Lpkcv Vv ab abab ab dw = =-++ & (10) Equation (9) is the vectorial representation of a straight line in the ab frame, where c1Jv ab describes the direction of the line, and c1 is an arbitrary constant. This line is the set of values of δαβ that makes . p equal to the constant k1, and splits the alpha-beta plane in two regions, values of δαβ above (9) make . p smaller than k1, while values of δαβ below (9) make . p larger than k1. Equation (10) represents the same idea for the reactive power first time derivate, where c2v ab describes the direction of the line, and c2 is an arbitrary constant. 2 qk ab d = & also splits the alpha-beta plane in two regions, values of δαβ above (10) make . q larger than k2, while values of δαβ below (10) make . q smaller than k2. Fig. 3 shows the alpha-beta frame regions where . p and . q are enclosed to certain values. When constants k1 and k2 are made equal to zero equations (9) and (10) are respectively transformed in the following expressions [23] ( ) 2 0 1 2 2 p dc v LqvcJv Vv ab ababab ab dw = =++ & (11) ( ) 0 2 2 2 q dc Jv Lpcv Vv ab abab ab dw = =-+ & (12) These two straight lines split the alpha-beta frame in four quadrants as it is shown in Fig. 4. Each zone is characterized by the sign of the instantaneous active and reactive power first derivate over the time, so when the system is working inside one of them the instantaneous active and/or the reactive power can increase or diminish according which work area is. The intersection point between these two straight lines can be calculated as 22 22 1 eq cc LqLp vJv VV vv ababab abab ww d æöæö ç÷ç÷ =+- ç÷ç÷ èøèø (13) a b v ab Fig. 3 Boundary limits for the instantaneous active and reactive power first time derivate. v ab eq ab d 0 0 p q < < & & 0 p ab d = & 0 q ab d = & 0 0 p q > < & & 0 0 p q < > & & 0 0 p q > > & & a b Fig. 4 Equilibrium point in steady state d eq ab represents the equilibrium point of the system in steady state due to in this point the instantaneous active and reactive power demanded by the power converter to the power supply do not increase or diminish, and therefore, at this point, the instantaneous active and reactive power demanded by the power converter remain constants.
> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 4 The following equations define the values of instantaneous active power error, ~ p, and instantaneous reactive power error, ~ q, respectively. * * ppp qqq =- =- % % (14) The power switches state should be chosen among the discrete possible states inside a selection area defined by the sign of the instantaneous active and reactive power error. Table 3 shows the selection area as a function of the sign of instantaneous power errors. This basic selection algorithm has the following drawbacks: 1) The possible power switches state is not always unique, i.e. there is more than one possible state for the power switches inside the selection area. Fig. 5 shows a possible situation where in area A2 there are five possible state vectors. 2) The power switches state is not always defined inside the selection area. Fig. 5 shows a possible situation where in area A4 there is not any state vector. TABLE 3 SELECTION AREA AS FUNTION OF THE INSTANTANEOUS POWER ERRORS ~ p ~ q Area >0 >0 A1 >0 <0 A4 <0 >0 A2 <0 <0 A3 U0U7 U1 U2U3 U5 U6 U4 A2 A3 A4 A1 0 0 p q < < & & A1 0 0 p q > < & & A2 0 0 p q < > & & A4 0 0 p q > > & & A3 0 p ab d = & 0 q ab d = & a b v ab Fig. 5 Power switches states aviable in each selection area. To overcome these drawbacks in the basic selection algorithm is necessary to define a vector reference that is always in the appropriate selection area, and to generate this reference vector with a modulation technique with a constant switching frequency as PWM or SVM. It is possible to define such a vector reference taking into account the equilibrium point d eq ab vector value and the involved selection area. The reference vector can be calculated as a composition of the d eq ab vector, a proportional vector to v ab and a proportional vector to Jv ab . As a function of the selection area, these two last vectors are added or subtracted to the d eq ab vector to generate the reference vector. In what follows it is presented how the reference vector is composed for each selection area. Besides, a vector diagram including the reference vector and its components is shown in order to demonstrate that the proposed reference vector definition is correct and that the defined reference vector is located inside the appropriate selection area. For instance, the reference vector in the selection area A1 is defined as follows, where k1 and k2 are defined as positive values, ensuring that the reference vector is located inside the selection area A1. 12 eq kvkJv abababab dd D =+×+ (15) Fig. 6 shows how reference vector d ab is composed, and shows that a reference vector defined as (15) is always inside the selection area A1. Due to this fact the proposed reference vector provides the necessary control action to achieve the control objectives, i.e., to reduce the instantaneous active power and to reduce the instantaneous reactive power drawn from the grid. ab d eq ab d ab vk 1 ab Jvk 2 0 0 p q < < & & 0 0 p q > < & & 0 0 p q < > & & 0 0 p q > > & & 0 p ab d = & 0 q ab d = & a b v ab Fig. 6 Reference vector for selection area A1. Using the same concepts it is possible to define the reference vector d ab for each area. The proposed algorithm to calculate the reference vector has the following steps: 1) Calculate ~ p, and ~ q. 2) Set the selection area. 3) Calculate the reference vector Table 4 summarizes the proposed algorithm to calculate the reference vector. TABLE 4 REFERENCE VECTOR DEFINITION AS A FUNCTION OF THE SELECTION AREA. 1st Step 2º Step 3º Step ~ p ~ q Selection Area Reference Vector >0 >0 A1 12 eq kvkJv abababab dd =+×+ >0 <0 A2 12 eq kvkJv abababab dd =+×- <0 >0 A3 12 eq kvkJv abababab dd =-×+ <0 <0 A4 12 eq kvkJv abababab dd =-×- Reference Vector definition in Table 4 can be written in a single equation, reducing the algorithm computational cost, if k1 and k2 values are respectively defined as
> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 5 1 2 p q kkp kkq D D =× =× % % (16) kp and kq are defined as a nonzero positive constants, and the proposed reference vector can be calculated independently of the selection area. eq pq kpvkqJv abababab dd D =+××+×× %% (17) Controller (17) in closed-loop with the system dynamics (7)- (8) provides the following equations 2 2 2 2 dc p dc q V Lpvkp V Lqvkq ab ab =-××× =-××× &% &% (18) Taking into account that in steady state the instantaneous active and reactive reference power are constants then * * 0 0 dp Ldt dq Ldt = = (19) 2 2 0 2 0 2 dc p dc q V Lpvkp V Lqvkq ab ab +×××= +×××= & %% & %% (20) Equations (20) demonstrate that using the proposed reference vector, the instantaneous active and reactive power errors tend exponentially to zero and the system is stable. Now an adaptive law with the aim to eliminate the effects of the system parameters uncertainties, the smoothing inductor and the grid frequency value, is derived. In the three-phase power converter the reactance parameter, X, is the product of the smoothing inductor value and the grid frequency. XL w D = (21) ˆ XXX =- % (22) ˆ XX = & & % (23) Equation (22) defines the error between the actual value of the reactance and its estimated value ^ X. Taking into account that parameter X is assumed to be constant or slowly variant, equation (23) defines the error time derivate. 22 ˆˆ 22 ˆ 1 eq dcdc XqXp vJv VV vv ababab abab d æöæö ×× ç÷ç÷ =+- ç÷ç÷ èøèø (24) ˆeq pq kpvkqJv abababab dd =+××+×× %% (25) Equation (24) is the expression for d eq ab as a function of the estimated parameter value, and the proposed controller for the three-phase power converter is transformed in (25), introducing the new proposed controller in (7) and (8), the expressions for the power errors dynamics are derived. ( ) 2 ˆ 2 dc p V LpvkpqXX ab =-×××+×- & %% (26) ( ) 2 ˆ 2 dc q V LqvkqpXX ab =-×××-×- & %% (27) To derive an adaptive law to reconstruct parameter ^ X a Lyapunov approach is followed. For this purpose a positivedefinite function is proposed, where parameter g is a positive constant that represents the adaptation gain. 222 111 222 HLpLqX g =++ × % %% (28) 22 22 1 22 dcdc pq VV HvkpvkqXpqqpX abab g æö =--+-+ ç÷ èø & &%% %%%% (29) ( ) ˆ Xqppq g =×-× & %% (30) 22 22 22 dcdc pq VV Hvkpvkq abab =-×××-××× & %% (31) The time derivate of (28) along the trajectories of (26) and (27) is (29) which is made negative semidefinite by proposing (30) to reconstruct the parameter ^ X. Finally the time derivate is given by (31). Following Lasalle´s theorem arguments it can be stated that ~ p → 0 and ~ q → 0 as t → ∞ asymptotically. Moreover, from (30) ~ p ≡ 0 and ~ q ≡ 0 imply that ~ X is constant. According to (26) and (27) this constant should be zero. This guarantees convergence of the estimated value towards its actual value. Now taking into account ~ p and ~ q definitions and that q* is zero with the aim to achieve unity power factor, the parameter ^ X can be reconstructed using expression * ˆ Xqp g =-×× & (32) B. Voltage regulation loop The outer control loop is designed to regulate the output capacitor voltage, this voltage should be maintained equal to the DC-Voltage reference value * dc V . The voltage capacitor dynamic is defined by (2), and assuming that instantaneous power dynamics are much faster than DC-Voltage dynamic then it is possible to affirm that * pp @ and 0 q @ , and therefore (2) can be reduced to 22 2 T dcdc L VV d Cvi dtR abab æö ×=- ç÷ èø (33) From Akagi´s power theory the instantaneous active power is defined as T pvi abab = so the DC-Voltage dynamic equation can be written as 22 2 æö ×=- ç÷ èø dcdc L VV d Cp dtR (34) Now, in order to reduce notation, two new variables are defined as follows 2 2 D = dc V z (35) * D =- % zzz (36) where z % represents the error and * z is the new reference defined as ( ) 2 * * 2 =dc V z (37)
> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 6 ( ) 2 2 * dc V * p * 0 q = p ˆ eq ab d ab d s K b s aK i p+ + q kJv ab p kv ab 2 2 dc V q 22 ˆˆ 22 1 dcdc XqXp vJv VV vv abab abab æöæö ×× ç÷ç÷ +- ç÷ç÷ èøèø * qpdt g -× ò X ˆ p Fig. 7 Block diagram of the proposed DPC controller. and introducing these news variables in (34) () ( ) 2 * 2dc LL V dz Czp dtRR -×=+- % % (38) Notice that (38) is a simple first-order stable system, so a proportional plus integral controller would solve the problem since the perturbation is an unknown constant. Finally the proposed PI controller for the outer control loop is *p i s K K pzz ss =+ +t %% (39) where Kp, Ki and t s are design parameters and p*is the reference value for the instantaneous active power. This controller includes a low pass filter in the proportional term to reduce the high frequency noise. Summarizing, the final expressions for the proposed controller are given by the following equations. (i) Power tracking loop. * 22 * * * ˆ ˆˆ 22 ˆ 1 ˆ 0 eq dcdc eq pq Xqp XqXp vJv VV vv kpvkqJv ppp qqq q ababab abab abababab g d dd =-×× æöæö ×× ç÷ç÷ =+- ç÷ç÷ èøèø =+××+×× =- =- = & %% % % (40) (ii) Voltage regulation loop. * * p i s K K pzz ss zzz D =+ +t =- %% % (41) Fig. 7 shows the block diagram of the proposed DPC controller including the adaptive law. I. EXPERIMENTAL RESULTS In this section experimental results are shown in order to test the proposed controller using a prototype. For this purpose the three-phase two-level power converter of Fig. 8a has been developed, with a digital implementation of the control algorithm that has been executed in a TMS320VC33 floating point DSP homemade board. The experiment consists of a load step at DC-Link from no-load to full load of 9.375kW. For this purpose capacitor voltage reference has been established to 750V and a 60 Ohm resistive load (Fig. 8b) has been suddenly connected to the DC-Link. To assess the DPC controller with the adaptive law approach, a comparative with the DPC controller without the adaptive law has been carried out. Measurements of DC-Link voltage, phase voltages and currents, harmonic contents of currents, active power, reactive power and power factor, have been taken with a Fluke 434 power quality analyzer. Table 5 shows the electrical parameters of the power converter, DC-Link voltage reference, switching and sampling frequencies that have been used in the experimental set up. Fig. 8 Laboratory prototype, from left to right: a) Three-phase two level power converter. b) Resistive load of 60 W
> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 7 TABLE 5 ELECTRICAL AND CONTROL PARAMENTERS FOR THE EXPERIMENTAL SYSTEM. Parameter Description Phase-to-neutral Voltage 230 V Smoothing inductance 0.8 mH DC-Link capacitor 7050 µF Resistive load 60Ω DC-Link Reference Voltage 750 V Switching frequency 11.2 KHz Sampling frequency fm 22.4 kHz All the constants used in the proposed controller have been adjusted experimentally. This includes, Kp and Ki for the voltage regulation loop, kp and kq that provide the necessary damping to the controller, and the adaptation gain g. A. Transient behavior Fig. 9 shows DC-Link voltage transient value when load step from zero to full load (9.375kW) is applied to DC-Link. Fig. 9a shows transient response when the proposed nonadaptive DPC controller is applied and Fig. 9b when the proposed adaptive DPC controller is used. It can be noticed that in both cases the transient response is similar. DC-Link voltage only decreases 15 V after the load is connected, and its reference is achieved again only in 0.6s after the load change, so a good voltage regulation is ensured. Fig. 9 DC-Link transient voltage during load step from zero to full load. a) for the proposed non-adaptive DPC controller. b) for the proposed adaptive DPC controller Fig. 10 Instantaneous active power transient responses when load step occurs, from 50 % to full load, for g = 1e-6. From top to bottom: a) Instantaneous active power reference. b) Instantaneous active power error. Fig. 10 shows the instantaneous active power transient response when a load step from 50% to full load occurs. From experiments it is observed that the adaptation gain parameter does not have influence in the dynamic and the behavior of the instantaneous active power, for this reason only the transient response when g = 1e-6 is shown. Fig. 10a shows the instantaneous active power reference value and Fig. 10b the instantaneous active power error when the proposed adaptive DPC controller is used. Compared with classic DPC, the transient behavior is quite similar, due to when a load step takes place the values of ~ p and ~ q become high and the output of the controller (40) is very close to the vector chosen by the classic DPC. In Fig. 11 a possible case, when p* and q* suddenly decrease, is shown. ab d eq ab d p kpv ab % q kqJv ab % 0 p ab d = & 0 q ab d = & a b v ab Fig. 11 Comparison between the reference vectors obtained with the Classic DPC (□) and the proposed DPC (○) when the active and reactive instantaneous power references decrease suddenly. Fig. 12 Instantaneous reactive power transient responses when load step occurs, from 50 % to full load, for different values of g. From top to bottom: a) g = 0. b) g = 1e-8. c) g = 1e-6. Fig. 13 Estimated value transient responses when load step occurs, from 50 % to full load, for different values of g. From top to bottom: a) g = 1e-8. b) g = 1e-6. Fig. 12 shows the instantaneous reactive power transient response when a load step from 50% to full load occurs. It can be noticed that the proposed adaptive DPC controller permits
> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 8 to reduce the reactive power consumption. Fig. 12a shows the instantaneous reactive power when the proposed non-adaptive DPC is used, Fig. 12b and Fig. 12c show instantaneous reactive power when the proposed adaptive DPC is used for different values of the adaptation gain. Fig. 13 shows the estimated value transient response when a load step from 50% to full load occurs. It can be noticed that ^ X ripple increases when the adaptation gain is high. In the experiments it is observed that higher values of g lead to higher ripples that make system unstable. However, the reactive power consumption is lower as g increases. Therefore, due to this fact the adaptation gain has to be chosen as high as possible but taking into account the possible system instability. B. Steady state behavior Fig. 14(a,b) shows the phase currents achieved with the proposed non-adaptive DPC controller, it can be noticed that low currents distortion is achieved, in fact its total harmonic distortion value (THD) is 3.0% (Fig. 15a). However the current is leading the voltage and the power factor value is 0.99 capacitive as can be seen in Fig. 15b. Fig. 14 Phase voltages and currents for the proposed non-adaptive DPC controller. Left to Right: a) Phase c voltage and current. b) a, b and c phase current. Fig. 15 From top to bottom: a) Currents harmonic content for the proposed non-adaptive DPC controller. b) Active and reactive power and power factor for the proposed non-adaptive DPC controller. Fig. 16(a,b) shows the phase currents delivered by the power converter when the proposed adaptive DPC controller is used. It can be noticed that in spite of the limited smoothing inductance value (0.8mH) the current ripple is small and the current THD is only 3.2% (Fig. 17a). Moreover compared with the phase currents achieved with the non-adaptive DPC controller the harmonic content of currents is of the same order. Besides unity power factor value is achieved as can be seen in Fig. 17b. Due to this fact less reactive power is drawn from the grid, reactive power is drastically reduced in 75% (from 1.14 kVAr in Fig. 15b to 0.3 kVAr in Fig. 17b) and better performance is achieved with the same power converter. Fig. 18a shows the vector diagram with the proposed nonadaptive DPC controller and Fig. 18b shows the vector diagram with proposed adaptive DPC controller. It can be seen that due to parameters uncertainties when the non-adaptive control law is used voltages and currents are shifted (Fig. 18a). However, when the adaptive solution is adopted, these parameters uncertainties are avoided and voltage and currents are in phase almost perfectly (Fig. 18b), showing the great advantage of using adaptive control techniques. Fig. 19 shows the instantaneous reactive power value in steady state for different values of g. As it was presented in Fig. 12 for transient operation, the reactive power consumption decreases when g increases. Fig. 16 Phase voltages and currents for the proposed adaptive DPC controller (g = 1e-6). From top to bottom: a) Phase c voltage and current. b) a, b and c phase current. Fig. 17 From top to bottom: a) Currents harmonic content for the proposed adaptive DPC controller (g = 1e-6). b) Active and reactive power and power factor for the proposed adaptive DPC controller (g = 1e-6).
> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 9 Fig. 18 Vector diagram. From left to right: a) Vector diagram for the proposed non-adaptive DPC controller. b) Vector diagram for the adaptive DPC controller (g = 1e-6). Fig. 19 Instantaneous reactive power steady state values for full load and different values of g. From top to bottom: a) g = 0. b) g = 1e-8. c) g = 1e-6. II. CONCLUSIONS DPC strategies are simple and efficient control strategies that can be applied to power systems as power rectifiers allowing the use of low cost microprocessors for their implementation. However, some drawbacks associated to the high grid connection inductance value are present in this type of control techniques. The proposed DPC strategy based on the system model permits to make smooth the high gain of previous DPC techniques and consequently, permits to decrease the smoothing connection inductance value reducing the cost, size and weight of the total system and increasing the operation range of the power converter and improving the dynamics of the system. Experiments with a three-phase twolevel laboratory prototype have been carried out to illustrate the good performance of the proposed control technique. Besides, adaptive techniques have been applied to overcome problems associate with system parameters uncertainties, which leads the proposed controller to achieve unity power factor, providing a better performance of the overall system. 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