MATLAB/Simulink Model Of Wind Farm To Weak Grid Connection

DOI : 10.17577/IJERTV1IS8195

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MATLAB/Simulink Model Of Wind Farm To Weak Grid Connection

Vanukuru. Kranthi Kumar, Department of EEE Swarnandhra College of Engg. & Tech., NARSAPUR.

Dr. J. Viswanatha Rao, Professor & HOD, Department of EEE, SCET, NARSAPUR.

Merugu. Bhanu, Assistant Professor,

Department of EEE, SCET, NARSAPUR.

Abstract

Wind Farms (WF) employing squirrel cage induction generator (SCIG) directly connected to the grid; represent a large percentage of the wind energy conversion systems around the world. In facilities with moderated power generation, the WF is connected through medium voltage (MV) distribution headlines. In this scheme, the power generated is comparable to the transport capacity of the grid. This case is known as Wind Farm to Weak Grid Connection, and its main problem is the poor voltage regulation at the point of common coupling (PCC). Thus, the combination of weak grids, wind power fluctuation and system load changes produce disturbances in the PCC voltage, worsening the Power Quality and WF stability. This situation can be improved using control methods at generator level, or compensation techniques at PCC. In case of wind farms based on SCIG directly connected to the grid, is necessary to employ the last alternative. Custom power devices technology (CUPS) results are very useful for this kind of application. In this paper is proposed a compensation strategy based on a particular CUPS device, the Unified Power Quality Compensator (UPQC). A customized internal control scheme of the UPQC device was developed to regulate the voltage in the WF terminals, and to mitigate voltage fluctuations at grid side. The internal control strategy is based on the management of active and reactive power in the series and shunt converters of the UPQC, and the exchange of power between converters through UPQC DC Link. This approach increases the compensation capability of the UPQC with respect to other custom strategies that use reactive power only. MATLAB/Simulink ® Simulations results show the effectiveness of the proposed compensation strategy for the enhancement of Power Quality and Wind Farm stability.

Key words Wind farm, Weak grid, UPQC, Shunt controller and Series controller.

  1. Introduction

    The location of generation facilities for wind energy is determined by wind energy resource availability, often far from high voltage (HV) power transmission grids and major consumption centers [1].

    In case of facilities with medium power ratings, the WF is connected through medium voltage (MV) distribution headlines. A situation commonly found in such scheme is that the power generated is comparable to the transport power capacity of the power grid to which the WF is connected, also known as weak grid connection. The main feature of this type of connections is the increased voltage regulation sensitivity to changes in load [2]. So, the systems ability to regulate voltage at the point of common coupling (PCC) to the electrical system is a key factor for the successful operation of the WF.

    Also, is well known that given the random nature of wind resources, the WF generates fluctuating electric power. These fluctuations have a negative impact on stability and power quality in electric power systems. [3]

    Moreover, in exploitation of wind resources, turbines employing squirrel cage induction generators (SCIG) have been used since the beginnings. The operation of SCIG demands reactive power, usually provided from the mains and/or by local generation in capacitor banks [4], [5]. In the event that changes occur in its mechanical speed, i.e. due to wind disturbances, so will the WF active (reactive) power injected (demanded) into the power grid, leading to variations of WF terminal voltage because of system impedance. This power disturbance propagate into the power system, and can produce a phenomenon known as flicker, which consists of fluctuations in the illumination level caused by voltage variations. Also, the normal operation of WF is impaired due to such disturbances. In particular for the case of weak grids, the impact is even greater.

    In order to reduce the voltage fluctuations that may cause flicker, and improve WF terminal voltage

    in MV6 is SSC 120 MVA this ratio can be calculated:

    regulation, several solutions have been posed. The most common one is to upgrade the power grid,

    =

    5.5

    increasing the short circuit power level at the point of common coupling PCC, thus reducing the impact of power fluctuations and voltage regulation problems [5].

    In recent years, the technological development of high power electronics devices has led to implementation of electronic equipment suited for electric power systems, with fast response compared to the line frequency. These active compensators allow great flexibility in: a) controlling the power flow in transmission systems using Flexible AC Transmission System (FACTS) devices, and b) enhancing the power quality in distribution systems employing Custom Power System (CUPS) devices [6] [9]. The use of these active compensators to improve integration of wind energy in weak grids is the approach adopted in this work.

    In this paper we propose and analyze a compensation strategy using an UPQC, for the case of SCIGbased WF, connected to a weak distribution power grid. This system is taken from a real case [7].

    The UPQC is controlled to regulate the WF terminal voltage, and to mitigate voltage fluctuations at the point of common coupling (PCC), caused by system load changes and pulsating WF generated power, respectively. The voltage regulation at WF terminal is conducted using the UPQC series converter, by voltage injection in phase with PCC voltage. On the other hand, the shunt converter is used to filter the WF generated power to prevent voltage fluctuations, requiring active and reactive power handling capability. The sharing of active power between converters is managed through the common DC link.

    Simulations were carried out to demonstrate the effectiveness of the proposed compensation approach.

  2. System Description and Modeling

    Values of r < 20 are considered as a weak grid connection [2].

    Figure 1. Study case Power system

    2.2. Turbine rotor and associated disturbances model

    The power that can be extracted from a wind turbine is determined by the following expression:

    2

    = 1 2 3 (1)

    Where is air density, R is the radius of the swept area, v the wind speed, and CP the power coefficient. For the considered turbines (600 kW) the values are R

    = 31.2 m, = 1.225 kg/m3 and CP calculation is taken from [8].

    Then, a complete model of the WF is obtained by turbine aggregation; this implies that the whole WF can be modeled by only one equivalent wind turbine, whose power is the arithmetic sum of the power generated by each turbine according to the following equation:

    = =136

    (2)

    2.1. System Description

    Fig.1 depicts the power system under consideration in this study.

    The WF is composed by 36 wind turbines using squirrel cage induction generators, adding up to 21.6 MW electric power. Each turbine has attached fixed reactive compensation capacitor banks (175 kVAr), and is connected to the power grid via 630KVA 0.69/33 kV transformer. This system is taken from [7], and represents a real case.

    The ratio between short circuit power and rated WF power, give us an idea of the connection weakness. Thus considering that the value of short circuit power

    Moreover, wind speed v i (1) can vary around its average value due to disturbances in the wind flow. Such disturbances can be classified as deterministic and random. The firsts are caused by the asymmetry in the wind flow seen by the turbine blades due to tower shadow and/or due to the atmospheric boundary layer, while the latter are random changes known as turbulence. For our analysis, wind flow disturbance due to support structure (tower) is considered, and modeled by a sinusoidal modulation superimposed to the mean value of v. The frequency for this modulation is 3. Nrotor for the threebladed wind turbine, its amplitude depends on the geometry of the tower. In our case we have considered a mean

    wind speed of 12 m/s and the amplitude modulation of 15%.

    The effect of the boundary layer can be neglected compared to those produced by the shadow effect of the tower in most cases [3]. It should be noted that while the arithmetic sum of perturbations occurs only when all turbines operate synchronously and in phase, this is the case that has the greatest impact on the power grid (worst case), since the power pulsation has maximum amplitude. So, turbine aggregation method is valid.

      1. Model of Induction Generator

        For the squirrel cage induction generator the model available in Matlab/Simulink SimPowerSystems© libraries is used. It consists of a fourthorder state space electrical model and a secondorder mechanical model [5].

      2. Dynamic compensator model

    The dynamic compensation of voltage variations is performed by injecting voltage in series and active reactive power in the MV6 (PCC) bus bar; this is accomplished by using an unified type compensator

    The operation is based on the generation of three phase voltages, using electronic converters either voltage source type (VSIVoltage Source Inverter) or current source type (CSICurrent Source Inverter). VSI converter is preferred because of lower DC link losses and faster response in the system than CSI [9]. The shunt converter of UPQC is responsible for injecting current at PCC, while the series converter generates voltages between PCC and U1, as illustrated in the phasor diagram of Figure 3. An important feature of this compensator is the operation of both VSI converters (series and shunt) sharing the same DCbus, which enables the active power exchange between them.

    We have developed a simulation model for the UPQC based on the ideas taken from [10]. Since switching control of converters is out of the scope of this work, and considering that higher order harmonics generated by VSI converters are outside the bandwidth of significance in the simulation study, the converters are modeled using ideal controlled voltage sources. Figure 4 shows the adopted model of power side of UPQC. The control of the UPQC, will be implemented in a rotating frame dq0 using Parks transformation (eq.3-4)

    sin sin 2 sin + 2

    3 3 3

    UPQC [9]. In Figure 2 we see the basic outline of this 3 3

    compensator; the bus bars and impedances numbering is referred to Figure 1.

    T = 2 cos cos 2 cos 2 1 1 1

    (3)

    2 2

    2

    = (4)

    0

    Figure 2. Block diagram of UPQC

    Figure 3. Phasor diagram of UPQC

    Where fi=a,b,c represents either phase voltage or currents, and fi=d,q,0 represents that magnitudes transformed to the dqo space.

    Figure 4. Power stage compensator model. AC side

    Figure 5. Series compensator controller

    This transformation allows the alignment of a rotating reference frame with the positive sequence of the PCC voltages space vector. To accomplish this, a reference angle synchronized with the PCC positive sequence fundamental voltage space vector is calculated using a Phase Locked Loop (PLL) system.

    In this work, an instantaneous power theory based PLL has been implemented [11].

    Under balance steady-state conditions, voltage and currents vectors in this synchronous reference frame are constant quantities. This feature is useful for analysis and decoupled control.

  3. UPQC Control strategy

    The UPQC serial converter is controlled to maintain the WF terminal voltage at nominal value (see U1 bus-

    Figure 6. Shunt compensator controller

    The mean values of active and reactive power are obtained by lowpass filtering, and the bandwidth of such filters are chosen so that the power fluctuation components selected for compensation, fall into the flicker band as stated in IEC61000-4-15 standard.

    In turn, Ed_shuC* also contains the control action for the DCbus voltage loop. This control loop will not interact with the fluctuating power compensation, because its components are lower in frequency than the flickerband.

    The powers PshuC and QshuC are calculated in the rotating reference frame, as follows:

    = 3 (5.1)

    bar in Figure 4), thus compensating the PCC voltage

    2

    variations. In this way, the voltage disturbances coming from the grid cannot spread to the WF facilities. As a side effect, this control action may increase the low voltage ridethrough (LVRT) capability in the occurrence of voltage sags in the WF

    = 3 (5.2)

    2

    Ignoring PCC voltage variation, these equations can be written as follows.

    terminals [4], [9].

    = /

    (6.1)

    Fig.5 shows a block diagram of the series converter

    _

    controller. The injected voltage is obtained subtracting the PCC voltage from the reference voltage, and is phasealigned with the PCC voltage (see Fig.3).

    On the other hand, the shunt converter of UPQC is used to filter the active and reactive power pulsations generated by the WF. Thus, the power injected into the grid from the WF compensator set will be free from pulsations, which are the origin of voltage fluctuation that can propagate into the system. This task is achieved by appropriate electrical currents injection in PCC. Also, the regulation of the DC bus voltage has been assigned to this converter.

    Figure 6 shows a block diagram of the shunt converter controller. This controller generates both voltages commands Ed_shuC and Eq_shuC based on power fluctuations P and Q, respectively. Such deviations are calculated subtracting the mean power from the instantaneous power measured in PCC.

    = / _ (6.2)

    Taking in consideration that the shunt converter is based on a VSI, we need to generate adequate voltages to obtain the currents in (6.1 & 6.2). This is achieved using the VSI model proposed in [10], leading to a linear relationship between the generated power and the controller voltages. The resultant equations are:

    = // _ (7.1)

    = // _ (7.2)

    P and Q control loops comprise proportional controllers, while DCbus loop, a PI controller.

    In summary, in the proposed strategy the UPQC can be seen as a power buffer, leveling the power injected into the power system grid.

    Figure 7. Power buffer concept

    The Figure 7 illustrates a conceptual diagram of this mode of operation.

    It must be remarked that the absence of an external DC source in the UPQC bus, forces to maintain zero average power in the storage element installed in that bus. This is accomplished by a proper design of DC voltage controller. Also, it is necessary to note that the proposed strategy cannot be implemented using other CUPS devices like DStatcom or DVR. The power buffer concept may be implemented using a DStatcom, but not using a DVR. On the other hand, voltage regulation during relatively large disturbances

    cannot be easily coped using reactive power only from DStatcom; in this case, a DVR device is more suitable.

  4. Circuit construction, Simulation results and Discussion

    The model of the power sstem scheme illustrated in Figure 1, including the controllers with the control strategy detailed in section III, was implemented using Matlab/Simulink® software. Numerical simulations were performed to determine and then compensate voltage fluctuation due to wind power variation, and voltage regulation problems due to a sudden load connection. The simulation was conducted with the following chronology:

    • at t = 0.0 the simulation starts with the series converter and the DCbus voltage controllers in operation.

    • at t = 0.5 the tower shadow effect starts;

    • at t = 3.0 Q and P control loops (see Figure 6) are enabled;

    • at t = 6.0 L3 load is connected.

    • at t = 6.0 L3 load is disconnected

Figure 8. Model of power system scheme illustrated in Figure 1

Figure 9. Shunt controller circuit

Figure 10. UPQC Circuit

4.1 Compensation of voltage fluctuation

Simulation results for 0 < t < 6 are shown in Figure

11. At t = 0.5'' begins the cyclical power pulsation produced by the tower shadow effect. As was mentioned, the tower shadow produces variation in torque, and hence in the active and reactive WF generated power. For nominal wind speed condition, the power fluctuation frequency is f = 3.4Hz, and the amplitude of the resulting voltage variation at PCC, expressed as a percentage is:

higher than the maximum allowed by the IEC61000-4-

15 standard [12]. This means that even in normal operation, the WF impacts negatively on the System Power Quality.

At t = 3.0'' the active and reactive power pulsations are attenuated because the P and Q controllers come into action. The amplitude of the PCC voltage fluctuation is reduced from its original value of 1.6% (without compensation) to this new value:

= 0.18 %

= 1.50 %

This value agrees with IEC standard [12], since is

This voltage fluctuation is seen in middle curve of Figure 11 for 0.5 < t < 3. The fluctuation value is

lower than the specified permissible maximum limit, 0.5% at 3.4Hz.

Figure 11. (a) Active and Reactive power demand at power grid side. (b) PCC Voltage.

(c) WF terminal voltages

In the Figure 11 (c), WF terminal voltage behavior is shown; the series converter action maintains WF terminal voltage constant, regardless of the PCC voltage behavior.

The pulsation of active power and voltage at the UPQC DCside, are shown in Figure 12.

As can be observed in the upper curve, the series converter requires negligible power to operate, while the shunt converter demands a high instantaneous power level from the capacitor when compensating active power fluctuation. Compensation of reactive powers has no influence on the DC side power [13].

The DC-bus has voltage level limitations in accordance with the VSIs operational characteristics. As the fluctuating active power is handled by the capacitor, its value needs to be selected so that the ripple in the DC voltage is kept within a narrow range.

In our case, we have considered a capacitor size C =

0.42 F. This high value can be easily obtained by using emerging technologies based capacitors, such as doublelayer capacitors, also known as ultra capacitors.

Figure 12. (a) Power of the capacitor in the DC- Bus. (b) Voltage of the capacitor in the DC-Bus.

4.2. Voltage regulation

As been stated in Secc.III, the UPQC is also operated to maintain the WF terminal voltage constant, rejecting PCC voltage variations, due to events like sudden connection/disconnection of loads, power system faults, etc. A sudden connection of load is performed at t = 6'', by closing L3 switch (SW) in Figure 1. This load is rated at PL3 = 9.2 MW and QL3 =

9.25 MW. Such load is then disconnected at t = 10''. Figure 13 shows the PCC and WF terminal voltages,

and series injected voltage at a phase. In this figure is clearly seen a sudden change in PCC voltage, while WF terminal voltage remains almost constant due to series converter action.

In Figure 14. is seen shunt and series converter activepower behaviour.

The mean power injected (absorbed) by series converter is absorbed (injected) by shunt converter, because of the DC voltage regulation loop action (Figure 6). So, the step in series converter active power, is the same but opposite sign, that shunt converter power.

Figure 13. (a) Voltage at WF, at PCC.

(b) Series injected voltage at a phase

Figure 14. Shunt & Series converter active power

VDC mean value is maintained at its reference level, while ripple is not rejected.

5. Conclusion

In this paper, a new compensation strategy implemented using an UPQC type compensator was presented, to connect SCIG based wind farms to weak distribution power grid. The proposed compensation scheme enhances the system power quality, exploiting fully DCbus energy storage and active power sharing between UPQC converters, features not present in DVR and DStatcom compensators. The simulation results show a good performance in the rejection of power fluctuation due to tower shadow effect and

the regulation of voltage due to a sudden load connection. So, the effectiveness of the proposed compensation approach is demonstrated in the study case. In future work, performance comparison between different compensator types will be made.

Acknowledgments

We express our sincere thanks to Swarnandhra College of Engineering & Technology for providing us good lab facilities. A heart full and sincere gratitude to the Faculty members, Department of EEE, for their guidance and tremendous motivation.

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