* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download The Impact of the Reactive Power Sharing Methods on Transmission
Standby power wikipedia , lookup
Voltage optimisation wikipedia , lookup
Power factor wikipedia , lookup
Wireless power transfer wikipedia , lookup
Mains electricity wikipedia , lookup
Audio power wikipedia , lookup
Electrical substation wikipedia , lookup
Electrification wikipedia , lookup
Power over Ethernet wikipedia , lookup
Power electronics wikipedia , lookup
Buck converter wikipedia , lookup
Electric power system wikipedia , lookup
Distributed generation wikipedia , lookup
Switched-mode power supply wikipedia , lookup
Electric power transmission wikipedia , lookup
Alternating current wikipedia , lookup
The Impact of the Reactive Power Sharing Methods on Transmission Power Losses in Islanded AC Microgrid Adam Milczarek Warsaw University of Technology (Poland) [email protected] Abstract—One of the most promising modern electricity system is microgrid (MG). Usually it based on AC transmission lines and integrates many renewable energy sources (RES). RESs are connected to microgrid by power converters, which allow to active and reactive power management. MG can work as support for traditional grid as well as stand-alone system for local loads. One of the topic issues in actual research is reactive power management. There are proposed solutions in literature like Equal Reactive Power Sharing, Proportional Reactive Power Sharing or Optimization algorithm, which minimize the transmission power losses. However, the reactive power causes transmission power losses regardless of the chosen control method. For each solution that losses can be different. It depends on line distances and the apparent power of each converter. The analysis of transmission power losses for different power management methods was performed and described. The comparison of the results and conclusions are presented in this paper. The most important is a primary level, where usually the droop control method [3]–[6] or Master-Slave control [7]–[9] are implemented. Due to the fact, that there is only one voltage control source (VCS) in Master-Slave and others (Slaves) are current control sources (CCS), this solution is more popular in MG connected to the main grid. In islanded MGs the Hierarchical Droop Control [10] is implemented, which allows to parallel work of many VCS. It is based on adjust voltage frequency and amplitude of the converters in order to proper share active and reactive power (Fig. 1). ω ∆ω1 I. INTRODUCTION E E* ω* E1 E2 ∆ω2 ∆ P1 Microgrids (MG) are local power energy systems, which becoming more important due to increased energy demand and decreasing fossil fuels. MG can manage energy generation, storage and demand, making the user less dependent of the main grid, but more responsible for energy utilization and generation. This responsibility means that the microgrid should be able to work in islanded mode of operation and needs advanced controllers [1]. Moreover, MG is adapted system for Renewable Energy Sources (RES), which became the key solution in the energy sector. The possibility of advanced control and management system application in microgrid is provided by energy converters, which are used in almost every RES. The most used control solution in MG is the hierarchical control structure. It based on the international standard ISA95 [2], which has been developed for global manufacturers to be applied in all industries and in all sorts of processes, like batch, continuous, and repetitive processes. For MGs, it is divided into three levels: primary control: usually droop control algorithm; secondary control: adjust frequency and amplitudes as well as improve power quality in the microgrid; tertiary control: power flow between the microgrid and the main grid. On the one hand, the primary control is autonomous, being able to make the distributed generation (DG) units work independently in an autonomous way. On the other hand, secondary and tertiary controls are placed in the microgrid central controller (MGCC) and needs communications infrastructure. The communication used between control levels can enhance the operation of such system. ∆ P2 P Q1 Q2 Q Fig. 1. P-ω and Q-E characteristics in Classical Droop Control. However, depending on the RES, active power is fixed by the maximum power point, so that active power cannot be managed, but it should be store in energy magazines. The important issue in islanded MG is reactive power managing, which is investigated and described in literature. In islanded MG with Classical Droop Control, the reactive power for each converter depends mainly on the mismatches between the inverter’s output filters and the control coefficient n, which can be described as: n= ∆ E max , Q max (1) where ∆Emax – maximum voltage amplitude droop, Qmax – maximum reactive power of converter. Hence, it is constant value, the reactive power sharing cannot be controlled, but it will be changing, when the output current is changing (related to actual active power value). In order to allow reactive power sharing, the coefficient n can be replaced by PI controller and the control algorithm at secondary level calculates reference signals of reactive power for each converter. Usually the Equal Reactive Power Sharing method is used, where the total reactive power in MG is equally divided between all converters [11]–[13]. This solution allows avoiding the reactive power mismatches and prevents the circulation of reactive power between converters. Another solution presented in literature [14], [15] based on Proportional Reactive Power Sharing, where the total reactive 41 power is divided proportionally to actual active power. In this case, converters can work with maximum active power, keeping apparent power below the nominal value. Therefore, the algorithm prevents overload of converters and circulation of reactive power, providing better exploitation of RESs. The different approach to reactive power sharing is transmission power losses minimization. Usually it is realized by advanced optimization algorithm like Particle Swarm Optimization [16], [17]. Hence, the optimization algorithms require high computational power this solution is difficult to implementation in real-time control system. However, the transmission power losses occur for each of the reactive power sharing strategy and they will be different for each method. In this paper, the transmission power losses for islanded low-voltage AC microgrid are described and calculated for mentioned reactive power sharing algorithms. In section II the analysis of transmission power losses in MG is presented. In addition, the calculations were performed in Matlab and the results are shown in section III. 2 VSI VLi1 VRl1 PIos1 PI1+jQI1 II. TRANSMISSION POWER LOSSES Microgrids are energy systems that usually are built with low voltage transmission lines, since they integrate many small RESs, which are installed in urban areas. A general model of transmission line (Fig.2a) can be simplified for short distances, as it is shown in Fig. 2b. 2 PI + Q I (2) RL , 2 VI where: RL – resistance of transmission line, Plosses – power dissipation of the resistor RL, PI – converter’s output active power, QI – converter’s output reactive power, VI – converter’s output voltage. In islanded MG many converters work parallel and they share load active and reactive power. Therefore, the equivalent circuit of MG can be presented by Fig. 3. In that case, sum of the active power of the first converter PI1 and the second PI2 has to be equal to sum of load active power PO and transmission power losses Plos1 and Plos2. Then the load voltage RMS value Vo is kept at the same level but the converter’s output voltages VI1 and VI2 are changing, depending on active and reactive power sharing. VI1 LI1 II1 RL1 VO VS1 Plosses = VS2 VSI LI2 II2 VLi2 VI2 RO LO VRo VLo RL2 Po+jQo VO VRl2 PIos2 PI2+jQI2 Fig. 3. The equivalent circuit of a one converter with transmission line and RL load. In that case, in order to calculate transmission power losses for each line the equation (2) has to be replaced by: Fig. 2. Model of a transmission line. The most important parameter in transmission losses is line resistance, since the inductance is very low (Table I) especially at short distances in MG. Plosk = APPROXIMATED PARAMETERS OF THE TRANSMISSION LINE [18] Voltage range (Vrms) ≤1k Low-voltage line Medium-voltage line High-voltage line R (Ω/km) XL (Ω/km) 0.642 0.083 0.161 0.19 1k – 60k 0.06 60k ≥ 2 Plos k = 0.191 Because the inductance can be neglected in losses calculations the equivalent circuit of one converter with transmission line and load can be represented by: VS VI LC RL VO RO LO VSC VRl VRo VLo ((P Ik ) − Plosk ) + QIk , 2 2 (3) 4 2 2 2 PIk Rk + VO − VO + 4 PIk RkVO − 4QIk Rk 2 Rk 2 , (4) where: Plosk – transmission power losses for k-th line, PIk – active power of k-th converter, QIk – reactive power of k-th converter, VO – load voltage RMS value, Rk – resistance of kth line. III. RESULTS Il VL VO 2 where the constant load voltage RMS value VO is used instead of variable converter voltage. Then the final equation for transmission power losses in islanded microgrid can be described by: TABLE I Type of line Rk Based on equation (4) the transmission power losses were calculated in Matlab. The calculations were performed for islanded MG model presented in Fig. 3 with detailed parameters of load shown in Table II. In MG any RES can be away from point of common coupling (PCC) of few km. Therefore, the different line resistances have to be considered in transmission power losses analysis. Moreover, the active power sharing can be changed depending on maximum power from each RES, what also has to be considered. In performed PI+jQI Fig. 2. The equivalent circuit of a one converter with transmission line and RL load. Basing on this model the power losses Plosses for each line can be calculated as [19]: 42 calculations, the five situations have been included and described. The transmission power losses have been compared for equal reactive power sharing (ERPS), proportional reactive power sharing (PRPS), reactive power sharing based on optimization of transmission power losses. The optimization process was performed in Matlab Optimization Tool, where the equation (4) was implemented in order to minimize the transmission power losses. Moreover, the difference between reactive power sharing methods and optimum solution was shown in percentage absolute values related to total active power. TABLE II differences between analyzed algorithms are only 0.15% what is a negligible value. C. Case 3 – Unequal Active Powers and Equal Resistances The third analysis shows the unequal active powers PI1=2PI2 with equal 2 km distances between converters and PCC (similar to case 1). The results are shown in Table V. The reactive powers are equal for ERPS and optimum sharing, because line resistances are equal, but in PRPS the reactive power is proportional to active power and the transmission power losses are higher. However, the differences between analyzed algorithms are only 0.07% what is lower value than in previous case and it can also be neglected. LOAD PARAMETERS IN CONSIDERED MICROGRID Parameter TABLE IV Value TRANSMISSION POWER LOSSES FOR PI1=PI2 AND RL1=3RL2 VO = 230 2 sin 314t V Voltage EEPS Current (RMS value) I O ( rms ) = 10 A Resistance RO = 20,7123 Ω Inductance LO = 0,0318 H Active power PO = 2072 W Reactive power QO = 999 Var Apparent power S O = 2300 VA Converter In first analysis, the equal active powers PI1=PI2 have been considered with the same 2 km distances between converters and PCC (RL1=RL2). The results of calculated powers and losses are presented in Table III. Notice, that in this case, the reactive powers are equal independently of used sharing method. It means, that transmission power losses are the same in each situation. 1 2 PI (W) QI (Var) 1 499,5 1 499,5 499,5 499,5 499,5 SI (VA) 1150 1150 1150 1150 1150 1150 Plos (W) 32,52 32,52 32,52 32,52 32,52 32,52 Total Plos (W) Difference % 65,04 65,04 65,04 0,00 0,00 0,00 2 499,5 258,5 1036 1036 740,5 SI (VA) 1150 1150 1150 1150 1068 1274 32,52 32,52 32,52 32,52 42,04 19,93 65,04 65,04 61,97 0,15 0,15 0,00 1 Optimization Tool PRPS 2 1 2 1 2 PI (W) 1381 691 1381 691 1381 691 QI (Var) 499,5 499,5 666 333 499,5 499,5 SI (VA) 1469 853 1534 767 1469 853 Plos (W) 53,04 17,86 57,81 14,45 53,04 17,86 Total Plos (W) Difference % 1036 499,5 1 Plos (W) Converter 2 1036 499,5 EEPS Optimization Tool 2 1036 499,5 2 TABLE V TRANSMISSION POWER LOSSES FOR PI1=PI2 AND RL1=RL2 Converter 1 TRANSMISSION POWER LOSSES FOR PI1=2PI2 AND RL1=RL2 TABLE III PRPS 2 1036 499,5 Total Plos (W) Difference % A. Case 1 – Equal Active Powers and Equal Resistances EEPS 1 PI (W) QI (Var) Optimization Tool PRPS 70,9 72,26 70,9 0,00 -0,07 0,00 D. Case 4 – Unequal Active Powers and Larger First Resistance The analysis in fourth case was performed for PI1=3PI2 like in previous case, but the line resistances were equal to RL1=3RL2. It means the RES with higher power is located farther to PCC than the second RES. The results presented in Table VI shows that PRPS causes the highest transmission losses, because the majority of active and reactive power is transferred by larger resistor. However, similarly to previous cases the differences are negligible. B. Case 2 – Equal Active Powers and Unequal Resistances The second analysis presents the equal active powers PI1=PI2 with the distances 3 km and 1 km between converters and PCC. In that case (PI1=PI2) there is no necessity to distinguish which RES is further from PCC, thus only one possible situation (RL1=3RL2 or 3RL1=RL2) can be analyzed. The results are presented in Table IV. Notice, in that case the reactive powers are equal for ERPS and PRPS, because the active powers are equal, but in optimum solution the reactive power is sharing proportionally to line resistances and the transmission power losses are lower. However, the 43 ACKNOWLEDGMENT Described problems are part of the project number 2013/09/N/ST7/02814 “Development and investigation of reactive power and energy storage management algorithms in smart microgrid” funded by the National Science Centre. TABLE VI TRANSMISSION POWER LOSSES FOR PI1=2PI2 AND RL1=3RL2 EEPS Optimization Tool PRPS Converter 1 2 1 2 1 2 PI (W) 1381 691 1381 691 1381 691 QI (Var) 499,5 499,5 666 333 264,2 734,8 SI (VA) 1469 853 1534 767 1407 1009 Plos (W) 79,56 8,93 86,72 7,23 72,92 12,5 Total Plos (W) Difference % 88,49 93,94 85,42 0,15 0,41 0,00 REFERENCES [1] [2] [3] E. Case 5 – Unequal Active Powers and Larger Second Resistance [4] The last case was performed for unequal active powers PI1=2PI2 with longer distance between second RES and PCC (3RL1=RL2). As a result, the lower power is transferred by higher resistance. In Table VII the results of analysis are presented. In that case, the PRPS gives similar results like optimum solution. The differences between transmission losses for included reactive power sharing method can be also neglected as above. [5] [6] [7] TABLE VII TRANSMISSION POWER LOSSES FOR PI1=2PI2 AND 3RL1=RL2 EEPS [8] Optimization Tool PRPS Converter 1 2 1 2 1 2 PI (W) 1382 691 1382 691 1382 691 QI (Var) 499,5 499,5 666 333 747 252 SI (VA) 1469 853 1534 767 1570 736 Plos (W) 26,52 26,79 28,91 21,68 30,3 19,94 Total Plos (W) Difference % [9] [10] 53,31 50,58 50,24 [11] 0,15 0,02 0,00 [12] IV. CONCLUSIONS [13] There are different ways to manage the reactive power sharing in islanded AC microgrid. There can be highlighted Equal Reactive Power Sharing (ERPS), Proportional Reactive Power Sharing (PRPS) and Optimization Algorithm. The last one is to minimize the transmission power losses in microgrid. However, for each sharing method the transmission power losses issue is appearing, and the impact of different strategies on this losses was investigated. The performed analysis in section III shows, that transmission power losses are not much different for any control method, hence the control selection has not significant impact on transmission losses. Moreover, in AC microgrid the low-voltage transmission lines are usually used, so the transmission power losses can be neglected in more complicated simulation researches. 44 [14] [15] [16] [17] [18] [19] “IEEE Guide for Design, Operation, and Integration of Distributed Resource Island Systems with Electric Power Systems.” pp. 1–54, 2011. “ISA-95 | ISA-95 is the international standard for the integration of enterprise and control systems ISA-95.” [Online]. Available: http://www.isa-95.com/. [Accessed: 12-Nov-2014]. J. M. Guerrero, N. Berbel, J. Matas, J. L. Sosa, and L. G. De Vicufia, “Droop Control Method with Virtual Output Impedance for Parallel Operation of Uninterruptible Power Supply Systems in a Microgrid,” pp. 1126–1132, 2007. J. Yaoqin, L. Dingkun, and P. Shengkui, “Improved droop control of parallel inverter system in standalone microgrid,” 8th Int. Conf. Power Electron. - ECCE Asia, pp. 1506–1513, May 2011. C.-T. Lee, C.-C. Chu, and P.-T. Cheng, “A new droop control method for the autonomous operation of distributed energy resource interface converters,” 2010 IEEE Energy Convers. Congr. Expo., no. 2, pp. 702– 709, Sep. 2010. K. De Brabandere, B. Bolsens, J. Van den Keybus, a. Woyte, J. Driesen, R. Belmans, and K. U. Leuven, “A voltage and frequency droop control method for parallel inverters,” 2004 IEEE 35th Annu. Power Electron. Spec. Conf. (IEEE Cat. No.04CH37551), no. 2, pp. 2501–2507, 2004. V. Verma and G. Gowd Talapur, “Master-slave current control DGs in a microgrid for transient decoupling with mains,” in 2012 IEEE 5th India International Conference on Power Electronics (IICPE), 2012, pp. 1–6. V. Verma and G. G. Talpur, “Decentralized Master-Slave operation of microgrid using current controlled distributed generation sources,” in 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), 2012, pp. 1–6. X. Chen, Y. H. Wang, and Y. C. Wang, “A novel seamless transferring control method for microgrid based on master-slave configuration,” in 2013 IEEE ECCE Asia Downunder, 2013, pp. 351–357. J. M. Guerrero, S. Member, J. C. Vasquez, J. Matas, L. G. De Vicuña, and M. Castilla, “Hierarchical Control of Droop-Controlled AC and DC Microgrids — A General Approach Toward Standardization,” vol. 58, no. 1, pp. 158–172, 2011. C. K. Sao and P. W. Lehn, “Autonomous Load Sharing of Voltage Source Converters,” IEEE Trans. Power Deliv., vol. 20, no. 2, pp. 1009–1016, Apr. 2005. Y. W. Li and C. Kao, “An Accurate Power Control Strategy for PowerElectronics-Interfaced Distributed Generation Units Operating in a Low-Voltage Multibus Microgrid,” IEEE Trans. Power Electron., vol. 24, no. 12, pp. 2977–2988, Dec. 2009. A. Micallef, M. Apap, C. S. Staines, and J. M. Guerrero Zapata, “Secondary control for reactive power sharing and voltage amplitude restoration in droop-controlled islanded microgrids,” 2012 3rd IEEE Int. Symp. Power Electron. Distrib. Gener. Syst., pp. 492–498, Jun. 2012. A. Milczarek, “Research of Reactive Power Managment in Islanded AC Microgrid - Novel Approach,” in Energoelektronika w Odnawialnych Źródłach Energii i Napędach, 2013. A. Milczarek, “23rd European Symposium on Computer Aided Process Engineering,” in Energoelektronika w Odnawialnych Źródłach Energii i Napędach, 2013, vol. 32, pp. 325–330. G. Chen and J. Yang, “A New Particle Swarm Optimization Solution to Optimal Reactive Power Flow Problems,” 2009 Asia-Pacific Power Energy Eng. Conf., no. 1, pp. 1–4, Mar. 2009. P. Smita and B. N. Vaidya, “Particle Swarm Optimization based Optimal Power Flow for reactive loss minimization,” 2012 IEEE Students’ Conf. Electr. Electron. Comput. Sci., pp. 1–4, Mar. 2012. A. Engler and N. Soultanis, “Droop control in LV-grids,” in 2005 International Conference on Future Power Systems, 2005, p. 6 pp.–6. C. Marinescu, a. Deaconu, E. Ciurea, and D. Marinescu, “From Microgrids to Smart Grids: Modeling and simulating using graphs part II optimization of reactive power flow,” 2010 12th Int. Conf. Optim. Electr. Electron. Equip., pp. 1251–1256, May 2010.