Analysis of Wind Farm to Weak-Grid Connection Using Fuzzy Based Unified Power Quality Compensator (UPQC)

Transcription

1 Analysis of Wind Farm to Weak-Grid Connection Using Fuzzy Based Unified Power Quality Compensator (UPQC) Abstract: G.Satyanarayana #1,Siva Karthik.K #2,Ch. Naga koti Kumar #3, Bharath Chandra. N #4 Department of Electrical and Electronics Engineering In this paper a compensation strategy based on a particular CUPS device, the Unified Power Quality Compensator (UPQC) has been proposed. 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 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. Therefore 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. The proposed compensation scheme enhances the system power quality, exploiting fully DC bus energy storage and active power sharing between UPQC converters, features not present in DVR and D Statcom compensators. Simulations results show the effectiveness of the proposed compensation strategy for the enhancement of Power Quality and Wind Farm stability. I. 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. In case of facilities with medium power ratings, the WF is connected through medium voltage (MV) distribution headlines. 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. 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. In the event that changes occur in its mechanical speed, i.e. due to wind disturbances, 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 disturbances 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 regulation, several solutions have been posed. The most common one is to upgrade the power grid, increasing the short circuit power level at the point of common coupling PCC, thus reducing the impact of power fluctuations and voltage regulation problems. 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. 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 SCIG based WF, Connected a weak distribution power grid. 1200

2 36 wind turbines using squirrel cage induction generators, adding up to 21.6MW electric power. Each turbine has attached fixed reactive compensation capacitor banks (175kVAr), and is connected to the power grid via 630KVA 0.69/33kV transformer. This system is taken from, 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 in MV6 is SSC = 120MV A this ratio can be calculated: Fig. 1. Study case power system This system is taken from a real case. 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. Definition of weak grid The term weak grid is used in many connections both with and without the inclusion of wind energy. It is used without any rigour definition usually just taken to mean the voltage level is not as constant as in a stiff grid. Put this way the definition of a weak grid is a grid where it is necessary to take voltage level and fluctuations into account because there is a probability that the values might exceed the requirements in the standards when load and production cases are considered. In other words, the grid impedance is significant and has to be taken into account in order to have valid conclusions II. SYSTEM DESCRIPTION AND MODELLING A. System description Fig.1 depicts the power system under consideration in this study. The WF is composed by Values of r < 20 are considered as a weak grid connection. B. Turbine rotor and associated disturbances model The power that can be extracted from a wind turbine, is determined by the following expression: Where is air density, R the radius of the swept area, v the wind speed, and CP the power coefficient For the considered turbines (600kW) the values are R = 31.2 m= kg/m3 and CP calculation is taken from. 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: C. Model of induction generator For the squirrel cage induction generator the model available in Mat lab/simulink Sim Power Systems libraries is used. It consists of a fourth order state space electrical model and a second order mechanical model. D. Dynamic compensator model The dynamic compensation of voltage variations is performed by injecting voltage in series and active reactive power in the MV6 (PCC) busbar; this is accomplished by using an unified type compensator UPQC. In Fig.2 we see the basic outline 1201

3 of this compensator; the busbars and impedances numbering is referred to Fig.1. The operation is based on the generation of three phase voltages, using electronic converters either voltage source type (VSI Voltage Source Inverter) or current source type (CSI Current Source Inverter). VSI converter are preferred because of lower DC link losses and faster response in the system than CSI. 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 Fig.3. An important feature of this compensator is the operation of both VSI converters (series and shunt) sharing. Fig 4: Power stage compensator model. AC Model Fig 5.series compensator controller Fig. 2. Block diagram of UPQC Fig. 3. Phasor diagram of UPQC The same DC bus, which enables the active power exchange between them. We have developed a simulation model for the UPQC based on the ideas taken from. 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 modelled using ideal controlled voltage sources. Fig.4 shows the adopted model of power side of UPQC. The control of the UPQC, will be implemented in a rotating frame dq0 using Park s transformation (eq.3-4) Where fi=a,b,c represents either phase voltage or currents, and fi=d,q,0 represents that magnitudes transformed to the dqo space. 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. 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. 1202

4 III. BASIC PROBLEMS WITH WIND TURBINES IN WEAK GRIDS A. Voltage level In the frequency range of 1-2 Hertz due to rotational sampling of the turbulence by the blades. This together with the tower shadow and wind shear are the main contributors to the flicker produced by the wind turbine during normal operation. The other main contribution to the flicker emission is the cut-in of the wind turbine. During cut-in the generator is connected to the grid via a soft starter. The soft starter limits the current but even with a soft starter the current during cut-in can be very high due to the limited time available for cut-in. Especially the magnetization current at cut-in contributes to the flicker emission from a wind turbine. IV. UPQC CONTROL STRATEGY Fig:6. Example of voltage profile for feeder with and without wind power The settings of the transformers by the utility are usually so, that the voltage at the consumer closest to the transformer will experience a voltage, that is close to the maximum value especially when the load is low and that the voltage is close to the minimum value at the far end when the load is high. This operation ensures that the capacity of thefeeder is utilised to its maximum.for a simple single load case the voltage rise over the grid impedance can be approximated with ΔU = (R * P + X *Q) /U using generator sign convention. This formula indicates some of the possible solutions to the problem with absorption of wind power in weak grids. The main options are either a reduction of the active power or an increase of the reactive power consumption or a reduction of the line impedance. B. Voltage fluctuations Another possible problem with wind turbines in weak grids are the possible voltage fluctuations as a result of the power fluctuations that comes from the turbulence in the wind and from starts and stops of the wind turbines. As the grids becomes weaker the voltage fluctuations increase given cause to what is termed as flicker. Flicker is visual fluctuations in the light intensity as a result of voltage fluctuations. The human eye is especially sensitive to these fluctuations if they are in the frequency range of 1-10 Hertz. Flicker and flicker levels. During normal operation the wind turbulence causes power fluctuations mainly. Fig.7 UPQC simplified schematic. The desired system behaviour after the connection of the UPQC is to assure a constant rms value of load voltage, to ensure that load voltage angle (respect to the PCC voltage) is lesser than a maximum value, and to keep the PCC power factor in a specified range. Summarizing all the constraints detailed previously, the known quantities are: K max K min : PCC voltage range (p.u.); V l : nominal load voltage (rms); P l : nominal load power PF lmin PF lmax : load power factor range; PF pccmin PF pccmax : PCC power factor range; α max : maximum load voltage angle. Once the previous quantities are known, the operating range of the key electrical variables must be found in order to specify the rating of the power cell components of the topology. The circuit shown in Fig. is a generalized UPQC scheme, where the series compensator is viewed as a controlled voltage source that injects the required voltage to compensate the variations of the PCC voltage. Similarly, the shunt compensator is considered as a controlled current source that injects the required current to improve the overall load power factor. 1203

5 A. Maximum Voltage Injection: The maximum voltage injection of the series compensator naturally depends upon the amount of sag-swell in the PCC voltage and the desired phase angle between load voltage and PCC voltage. These ranges are combined to determine the maximum amount of voltage to be injected for the compensator. Fig shows that due to the fasorial addition of the voltages, there is a triangle formed by load voltage, the PCC voltage, and the series injected voltage.thanks to the cosine theorem, the relations between those magnitudes and the load angle α are The maximum phasor magnitude inspecting Fig. is obtained when simultaneously exists a maximum sag in the PCC voltage and a maximum phase shift between the load voltage B. Maximum Shunt Current: Similarly, to find the maximum circulating current expression through the shunt compensator, the cosine theorem will be used in combination with the fasorial diagram depicted in Fig. The angle formed in the currents triangle becomes In order to calculate the maximum shunt compensator current, the cases: 1) minimum PCC current and 2) maximum PCC current must be considered, as in these conditions the shunt current magnitude assumes maximum values. In the first case, where the PCC current is a maximum, the shunt compensator current will be given by (8), shown at the bottom of the page. Now, considering the case where the value of the PCC current is a minimum, the shunt compensator current will be shown in (9), at the bottom of the page. Hence, the maximum shunt compensator current will be the highest value obtained out of (8) and (9). Hence and the PCC voltage. This leads to the expression of the maximum injected voltage given by The UPQC serial converter is controlled to maintain the WF terminal voltage at nominal value (see U1 bus-bar in Fig.4), thus compensating the PCC voltage 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 ride through (LVRT) capability in the occurrence of voltage sags in the WF terminals.fig shows a block diagram of the series converter controller. The injected voltage is obtained subtracting the PCC voltage from the reference voltage, and is phase aligned with the PCC voltage.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. Fig.6 shows a block diagram of the shunt converter controller. This controller generates both voltages commands 1204

6 V. IMPLEMENTATION OF FUZZY LOGIC CONTROLLER(FLC) Fig.8 Shunt compensator controller E d shu* and E q shu* based on power fluctuations _P and Q, respectively. Such deviations are calculated subtracting the mean power from the instantaneous power measured in PCC. The mean values of active and reactive power are obtained by low pass filtering, and the bandwidth of such filters is chosen so that the power fluctuation components selected for compensation, fall into the flicker band. In turn, E d shu * also contains the control action for the DC bus voltage loop. This control loop will not interact with the fluctuating power compensation, because its components are lower in frequency than the flicker band. The powers PshuC and QshuC are calculated in the rotating reference frame, as follows: Ignoring PCC voltage variation, these equations can be written as follows. Taking in consideration that the shunt converter is based on a VSI, we need to generate adequate voltages to obtain the currents in (6). This is achieved using the VSI model proposed sin, leading to a linear relationship between the generated power and the controller voltages. The resultant equations are: FLC are formed by simple rule based on If x and y then z. These rules are defined by taking help from person s experience and knowledge about the system behavior. The performance of the system is improved by the correct combinations of these rules. Each of the rules defines one membership which is the function of FLC. More sensitivity is provided in the control mechanism of FLC by increasing the numbers of membership functions. In this study, the inputs of the fuzzy system are assigned by using 3 membership functions and the fuzzy system to be formed in 9 rules. Hence, the sensitivity in the control mechanism is increased. The fuzzy control system is divided into three main sections. These sections are explained in the following. A. Error Calculation The error signal (erra) is calculated from the difference between the Current value and the reference value obtained from Repetitive controller. Beside, the error rate signal (RerrA) is the differences between the variation of error at current sampling and its previous sampling. These signals of Current for each phase are measured and converted into per unit (pu.) value. B. FLC The section of FLC is divided in three subsections. These subsections are given as summarized in the following: Fuzzification: The numeric input-variable measurements are transformed by fuzzification part into the fuzzy linguistic variable, which is a clearly defined boundary with a crisp. These linguistic variables of error/error rate are shown in Fig 9. The basic if-then rule is defined as If (error is very small and error rate is very small) then output. The signals error and error rate are described as linguistic variables in the FLC such as large negative (neg), zero (zero), positive (post). These are shown in Fig. In the same way, the input values of the fuzzy controller are connected to the output values by the if-then rules. The relationship between the input and the output values can be achieved easily by using Takagi- Sugeno type inference method. The output values are characterized by memberships and named as 1205

7 linguistic variables such as negative big (bneg), Negative (neg), zero (zero), positive (post), and positive big (bpost). Defuzzification: In the defuzzification process, the controller outputs represented as linguistic labels by a fuzzy set are converted to the real control (analog) signals. In the created fuzzy model, Sugeno s Weighted Average method which is the special case of Mamdani Model is selected for the defuzzification process. C. Signal Processing The control signals are produced from the output of FLC process. They are used in the generation of switching signals for converter by comparing with carrier signal. SIMULINK DIAGRAM SIMULATION RESULTS: A. By Using PI Controller F ig.11 Upper curve: active and reactive power demand at power grid side. Middle curve: PCC voltage. Lower curve: WF terminal voltages F ig.12 Power and voltage of the capacitor in the D C Bus 1206

8 Fig. 13 Voltage at W F, at P CC, and series injected voltage at a phase fig.18 Voltage at W F, at P CC, and series injected voltage at a phase Fig.14 Shunt and series converter active power; and DC bus voltage B. By Using FUZZY Controller F ig. 19. S hunt and series converter active pow er; and D C bus voltage F ig.15 Upper curve: active and reactive power demand at power grid side. Middle curve: PCC voltage. Lower curve: WF terminal voltages Fig.16 Power and voltage of the capacitor in the D C Bus Fig. 17 Voltage at W F, at P CC, and series injected voltage at a phase 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 DC bus energy storage and active power sharing between UPQC converters, features not present in DVR and D Statcom 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. 1207

9 REFERENCES [1] M. F. McGranaghan, R. C. Dugan, and H. W. Bety, Electrical Power Systems Quality. New York: McGraw-Hill, [2] T. A. Short, Electric Power Distribution Handbook. Boca Raton, FL:CRC, [3] P. Heine, Voltage sag distributions caused by power system faults, IEEE Trans. Power Syst., vol. 18, no. 4, pp , Nov [4] D. S. Dorr, M. B. Hughes, T. M. Gruzs, R. E. Jurewicz, and J. L.McClaine, Interpreting recent power quality surveys to define the electrical environment, IEEE Trans. Ind. Appl., vol. 33, no. 6, pp , Nov./Dec [5] T. S. Key and J.-S. Lai, Comparition of standards and power supply design options for limiting harmonic distorsion in power systems, IEEE Trans. Ind. Appl., vol. 29, no. 4, pp , Jul./Aug [6] A. Domijan, Jr., A. Montenegro, A. J. F. Keri, and K. E. Mattern, Custom power devices: An interaction study, IEEE Trans. Power Syst., vol. 20, no. 2, pp , May [7] H. Fujita and H. Akagi, The unified power quality conditioner: The integration of series- and shunt-active filters, IEEE Trans. Power Electron., vol. 13, no. 1, pp , Mar [8] H. Fujita, Y. Watanabe, and H. Akagi, Control and analysis of a unified power flow controller, in Proc. IEEE/PELS PESC, 1998, pp [9] M. Rahman, M. Ahmed, R. Gutman, R. J. O Keefe, R. J. Nelson, and J.Bian, UPFC application on the AEP system: Planning. AUTHOR S BIOGRAPHY G. Satyanarayana, Professor & HOD in G V R & S college of engineering and technology, Guntur. He received the B.Tech in Electrical and Electronics Engineering from Gitams, M.Tech from JNTU Anantapur & presently perusing Ph.d from ANU. He has totally 14 years of teaching experience. He published 1 research papers in international journals and 1 International conference. K. Siva Karthik, perusing M.Tech in Power Systems & Automation from Gitam University Vizag. He received the B.Tech in Electrical and Electronics Engineering from JNTU Kakinada. He published 1 research papers in international journals and 1 International conference. Ch. Naga Koti Kumar, received the B.Tech in Electrical and Electronics Engineering from JNTU Kakinada & M.Tech in Power Electronics and Power Systems from K.L.University Vijayawada. He published 3 research papers in international journals and 3 International conference papers. N. Bharat Chandra, received B.Tech in Electrical and Electronics Engineering from JNTU Kakinada. He published 1 research papers in international journals and 1 International conference. 1208