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International Electrical Engineering Journal (IEEJ) Vol. 6 (2015) No.2, pp. 1765-1770 ISSN 2078-2365 http://www.ieejournal.com/ An Internet Protocol Quality of Service Algorithm for the Protection of Smart Power Systems 1 V.ARULKUMAR and 2S.THANGAVEL 1 [email protected], [email protected] Abstract— The paper proposes a new concept of protection philosophy for Distribution Grids with high penetration of renewable energy. Conventional protection concepts are normally based on protection schemes that consist of definite or inverse time overcurrent relays. In future power systems, these schemes can lead to high fault clearing times, unselective tripping and massive Bus disconnections, which are not acceptable in a deregulated multi owner energy market. This work proposes an efficient intelligent communication based protection algorithm that implements different multi functional protection principles supported by blocking schemes. The real time organization of both the hardware architecture and communication infrastructure of the protection algorithm is illustrated in detail. Special emphasis is given to the network reconfiguration scenario cases and detailed simulation results of such illustrative studied cases are provided. The new protection strategy guarantees protection selectivity and provides Bus unit availability during and after the fault. The intelligent algorithm is applied on existing Distribution network and meaningful conclusions are derived. It is shown that the algorithm enables a uniform fault clearing time (in the order of 78 ms) for all the geographically dispersed circuit breaker positions. The overall combination of this setup is assumed in the MATLAB/Simulink platform and the output parameters are investigated with the existing topology. Index Terms—Communication based protection, DG availability, intelligent algorithm, and Utility Power Grid. I. INTRODUCTION The formal construction of electrical power systems is such that the electric force is generated in large generating stations at a relatively modest act of key locations. Yet, over the last decade, a number of genes have contributed to an increased interest in Distributed Generation (DG) [14] systems. Also, the cost of the distribution technology decreases and the cost of the transmission technology increases; this fact draws the interest of the governments and utilities to invest in renewable resources like wind and solar energy, fuel cells etc. The effects of DG on an existing distribution network could be plus or minus depending on the location and the size of the generators installed. Nevertheless, the integration of large DG units may negatively impact Important distribution and transmission grid features such as local power flow, protection and fault current level [13], Stability [9], voltage control, grid losses, power quality, islanding detection [17] etc. These problems have been extensively explored in the literature. For illustration, in voltage boost and power quality issues due to the implementation of DG are discussed in particular. A portion of this aforementioned effect, DG connection can endanger the proper operation of the security system and undoubtedly changes the fault current amplitude. Specifically, the interface between DG-unit and the grid strongly determines the donation of the fault current. Directly connected DG unit does contribute to the fault current, whilst inverter coupled DG unit hardly contributes to the fault current rise [8]. Moreover, large contributions to the fault current may cause the grid’s equipment rating to be transcended. In these situations fault current limitation is necessary. Since significant contributions of the DG-units to the fault currents affect the measured currents by the protective devices, applied protection systems in the distribution grid are affected as easily. This leads to incorrect operation of the shelter system and cause fault detection and selectivity problems. The larger the DG penetration level in a distribution grid, the more difficult the modeling and analysis of the short-circuit behavior of the organization. Hereafter, this number will for sure continue to farm and make an impingement along the distribution network protection. Taking into account the growing penetration levels of DG, distribution grid protection becomes an important matter in the future power systems. The current protection philosophy relies on the usage of current based time graded relays and associated DG protection. This is effective protection for passive distribution grids. Still, with the increasing number of DG-units in the distribution system, the protection philosophy 1765 Arulkumar and Thangavel An Internet Protocol Quality of Service Algorithm for the Protection of Smart Power Systems International Electrical Engineering Journal (IEEJ) Vol. 6 (2015) No.2, pp. 1765-1770 ISSN 2078-2365 http://www.ieejournal.com/ needs to be reconsidered and adapted. The demand for this adaptation depends on the penetration level and the engineering of the DG units. This impact leads to fault current detection failure or unjustified switching off of a goodly portion of a tributary. Therefore, the need of migration towards intelligent protection strategies is unavoidable. This paper deals with the application of a general IP QoS algorithm that converts the grid structure from radial to closed-loop just before the isolation of the faulty segment of the network. For this purpose the network is divided into zones. The division of the network into zones has also been applied in other algorithms, so far [16]. The major thought behind this algorithm is that for specific types of protection one model is employed. The time setting for the overcurrent protection, for example, is the same for all zones and the coordination is achieved by using blocking functions that switch off the zone in which the fault current occurs. Similar approach applies to other types of protection. It is demonstrated that, the IP QoS algorithm guarantees the protection selectivity, is capable of enhancing the accessibility of the DG-units during and after the fault and ensures a fast protection speed performance by minimizing the fault clearing time. locations along each of them, to accommodate the conventional protection scheme. The installation of primary interface units i.e., current interface units (CIUs), voltage interface units (VIUs) and circuit breaker interface units (BIUs) at the locations where instrument transformer equipment already exists is proposed. Therefore, time stamped digital samples of current and voltage measurements acquired from multiple locations are provided to create a sophisticated protection algorithm. This proposed strategy implies that there is no need of installation of additional instrument transformers, except for the cases in which voltage transformer (VT) equipment is required. The assumptions taken into consideration regarding the time delay components of the total fault clearing time are defined according to Fig. 1. The following assumptions have been considered regarding the latency values of each separate delay component: Sensor delay (CIU, VIU): 5 ms Communication delay: 5 s/km (negligible) Central protection unit (CPU) delay: variable type of delay, dependent on the modeled protection principle BIU delay: 15 ms CB delay due to contact opening: 53 ms II. THE ALGORITHM In distribution networks with high penetration of DG, it is very likely that during faults maloperations take place, which result in massive DG disconnections. Furthermore, in some cases relay tripping times should be so high that might exceed the critical clearing time of some generators, which finally results in increasing generators’ rotor speed and losing their stability. The feeder/substation oriented fully centralized protection concept is analyzed for the Dutch distribution network located in the province of Flevoland. The generators are modeled in detail and after the fault occurrence, the stability can also be observed. More about the network modeling and data can be found in [16][11][12]. The present protection system with respect to the stability and false tripping has been also investigated in detail. Critical clearing times (CCTs) for all generators have been determined and it was found that present protection scheme is vulnerable to maloperations and stability of generators for some cases cannot be attained [16], [12]–[3]. In [18], [3], [4] CCTs of the generators have been a subject of investigation during variety of faults applied at different locations. The result of this was that in some scenarios the critical clearing time is exceeded and some DGs lose their stability [16], [4]. Besides, the observed scheme is vulnerable to false tripping. Present problems may be resolved by applying additional protection issues. However, these solutions could be temporary as the network may increase by applying new DGs that would cause additional problems and increasing costs. The feeders are equipped with instrument transformers and relays at several Fig. 1 Delay components of the total fault clearing time. The hardware and communication infrastructure organization of the fully centralized protection scheme for distribution network is depicted in detail in Figs. 2. The red dots indicate the location of the sensors and the circuit breakers. Each feeder is divided into zones and the locations of the primary interface units indicate the borders of each separate zone. The protection strategy is realized in a way that when a fault current occurs, the requested signals are transferred to the CPU where the main algorithm is located and a specific zone is disconnected. The protection principle makes use of different relay algorithms [1] and for the 1766 Arulkumar and Thangavel An Internet Protocol Quality of Service Algorithm for the Protection of Smart Power Systems International Electrical Engineering Journal (IEEJ) Vol. 6 (2015) No.2, pp. 1765-1770 ISSN 2078-2365 http://www.ieejournal.com/ Fig. 2 Substation oriented hardware organization for distribution network. studied scheme in Figs. 2 a combination of Line differential protection (PLDF), busbar differential protection (PBDF) and directional overcurrent protection (PDOC) are applied. III. PROTECTION SETTINGS OF THE IMPLEMENTED FUNCTION By means of communication based transmission, sensors provides the actual voltage and current values obtained by the current and voltage transformers to the overcurrent and directional blocks that work in the central integrated algorithm. Directional overcurrent functionality has been trained for specific measurement points. The overcurrent block detects an overcurrent and provides instantaneously an active signal when a threshold value is surpassed. The directional block detects whether the direction of the force that belongs to the fault current is in forward or reverse charge. The relays are set in the forward direction, thus active signals are generated when the error is in the forward steering. More about the performance of the applied directional overcurrent protection can be found in [18]. The protection settings for some functions are given in the In this scheme, blocking signals has been applied among different blocks to enhance the protection reliability. The binary signals generated by PDOC blocks are used for blocking the function of upstream PDOC blocks. The overall binary status signals of the blocks generate the final trip signals, which are transferred back. Fig. 3 depicts the block representation of the functions that make use of the blocking signals. The applied blocking scheme is necessary in order to obtain the correct coordination with respect to which zones should be blocked and which circuit breakers should be triggered. Besides, the applied logic is simple and can be easily implemented in practice Particular relay functions are executed based on specific settings. The applied functions based on the differential protection principle utilize percentage restraint differential protection logic and particularly make use of a single-slope characteristic. The applied differential protection functions are separated into two categories. Line differential protection functions represented by F1, F2 and F3 are applied to detect the section of the parallel connected cables located in feeder ZPD 2.07, namely zones 1, 2 and 3. The typical recommended value for the pickup current of the line differential protection logic ranges between 20 to 50% of the nominal current value. The setting of the pickup current used in the simulations is set to 30% of the nominal line current. The Busbar differential protection functions represented by F4, F5 and F16, are applied to protect the bus bars corresponding to the protection zones 4, 5 and 16 accordingly. The recommended value of the pickup current of the Busbar differential protection logic is between 80 and 100% of the highest nominal primary current of all current transformers connected to the protected Busbar. The setting of the pickup current used in the performed short-circuit calculations is 90% of the maximum CT primary nominal current connected to the bus bar. The settings of the directional overcurrent based functions and differential protection functions are fully described in [1]. IV. SIMULATION RESULTS In order to validate the selectivity and speed performance of the proposed IP QoS algorithm, detailed simulation studies are carried out. Since the observed network is to isolate neutral point, the protection scheme has been tested for three and two phase faults at the borders of each separate protection zone (covering both DG penetration levels) and the accuracy of the new protection algorithm has been validated. The system is subjected to various faults at different locations, as shown in Fig.2. Simulations have been performed for different DG penetration levels, % and %. In this paper only PL1 level will be presented and one example of the applied algorithm. All other results and the performance of the algorithm can be found in [18]. Additionally, the other cells denote the disconnection times of the DG-units (all in 501 Arulkumar and Thangavel An Internet Protocol Quality of Service Algorithm for the Protection of Smart Power Systems International Electrical Engineering Journal (IEEJ) Vol. 6 (2015) No.2, pp. 1765-1770 ISSN 2078-2365 http://www.ieejournal.com/ seconds) and the corresponding triggered function, which initiates a specific disconnection with the corresponding disabled DGs. Fault initiation is at 100 ms for all case scenarios. Fault clearing time is the total time covering the time delays of the total path from the instant of the fault inception (sensor time delay) to the instant of the fault clearly (circuit breaker contact opening time delay). This is represented in Fig. 4. The fault locations and types, the triggered functions, the triggered circuit breakers and their corresponding tripping and total fault clearing times (all in seconds) are presented for all case scenarios. Fig. 3 Block representation of the functions that make use of blocking signals The evaluation of the intelligent protection scheme shows that for all fault locations correct functions are executed and corresponding circuit breakers are triggered. It is additionally observed that for all scenario cases, the faulty section is isolated in less than 78 ms, providing a high percentage of the DG-units to remain connected to the network and support it during and after the disturbance. Simulation results verify that the new protection scheme is highly beneficial in case of a high number of DG-units connected to the network. Since the protection scheme speed performance has been significantly improved, the fault zone of the network is isolated quickly and there is no problem of interference related to the coordination between the network protective functions and the interconnect protection of the DG-units[2]. For all the studied cases, DG-units are disconnected by the transferred trip command of the activated function and not by the locally installed DG interconnect protection (under voltage protection). Therefore, the locally installed DG interconnects protection units (under/over voltage) can be mainly used as backup, in case the remote communication-based trip command fails. As it can be seen, the DG-units connected to the sound sections of the grid always remain connected to the network because the total fault clearing time is shorter than the DG disconnection time of its interconnect protection. Another significant observation is that false tripping does not take place in both cases on the DG penetration level. The problem of false tripping is completely eliminated by applying directional elements in the protection logic of the software based protection functionality, which runs in the CCUs. One of the most significant observations is that the IP Qos algorithm is designed in a way that it prevents the loss of a complete feeder. A feeder is divided into several zones and the algorithm is additionally capable of keeping the healthy zones of a feeder in operation. This is done by changing the status of the switch ties between neighboring feeders from radial to closed-loop operation, 15 ms before the isolation of the faulty segment. The grid structure restores to its pre-fault radial operation, after the successful fault clearance. A simulation model is done with the help of MATLAB R2013a software. These generating stations are connected to the load is connected to the substations. The total length of the distribution system is 450 km. The communication port measures the grid voltages and current values. The measured data are sent to the smart monitoring display modeled in Visual Basic. The occurrence of faults will be cleared automatically when this algorithm is executed. Node id indicates the zone in which the fault has been created. The measured fault information is sent to the control unit and a communication delay is noticed. The control unit processes the information regarding the fault and depending distribution station by means of circuit breaker, Busbar and four substations. Different upon the fault the control unit instructs the circuit breaker to isolate the faulty region. There is also a small communication delay between Circuit Breaker control and the control unit. The fault clearing time varies according to the zone. Fig.5 Fault Clearing Time Fig. 5 Shows Node 1,2,3,4 and 5, the Node1 measures the fault, Node 2 the fault data in transferring to the CPU, Node 1768 Arulkumar and Thangavel An Internet Protocol Quality of Service Algorithm for the Protection of Smart Power Systems International Electrical Engineering Journal (IEEJ) Vol. 6 (2015) No.2, pp. 1765-1770 ISSN 2078-2365 http://www.ieejournal.com/ 3 identified the Fault area, Node 4 sends the identified the Fault area to the C.B unit and Node 5 Trip the Circuit Breaker. We can also see that the fully integrated protection algorithm enables a uniform fault clearing time in the order of maximum 78 ms for all the geographically dispersed circuit breaker locations. One of the most significant observations is that the protection algorithm is designed in such a way that it prevents the loss of a complete feeder. A feeder is divided into several zones and the algorithm is additionally capable of keeping the healthy zones of a feeder in operation. V. DISCUSSION The distribution grid is predominantly a cable grid. These types of grids have a different behavior in faulted situations than distribution grids consisting of overhead lines. This behavior might ask for a different protective strategy. The artificial ring is created in order to avoid the possible islanding. This can be considered as switching-in a fault current for a short period of time, and possible consequences like resonance or overvoltage in the circuit due to prestrike effects have not been observed. Another solution would be to re-connect the created island after fault isolation. This will require an additional algorithm to synchronize both sides in order to avoid possible inrush currents due to voltage and phase differences at the tieswitch poles [5]. No cost analysis of the real implementation of this methodology has been done in this work as it was beyond the scope of this project. However, the installation costs of the new equipment are related to the costs of the communications infrastructure, hardware architecture, software applications, and costs of IEDs etc. VI. CONCLUSION The paper proposes a general feeder/substation-oriented fully centralized protection scheme that can be implemented on an arbitrary network. The real implementation of the proposed protection strategy reflects an intelligent protection scheme, which makes use of smart hardware sensors, redundant communication infrastructure, standard communication protocols, and flexible multi-functional software algorithms [15]. The performance of the algorithm is validated by the aid of the distribution network. From the simulation results of the developed protection concept, meaningful conclusions can be summarized: Assures protection scheme selectivity Ensures a fast protection speed performance by minimizing the fault clearing time, which satisfies the needs of grid transient stability and prevents DG transient instabilities Eliminates the problem of false tripping by means of incorporating directional elements in the protection functionality and eliminates the conventional relay time coordination via utilization of redundant and reliable communication links. REFERENCES [1] A. Ishchenko, “Dynamics and stability of distribution networks with dispersed,” Ph.D. dissertation, , Eindhoven University of Technology,Eindhoven, The Netherlands, 2008. [2] I. Xyngi, A. Ishchenko, M. Popov, and L. van der Sluis, “Transient stability analysis of a distribution network with distributed generators,” IEEE Trans. Power Systems, vol. 24, no. 2, pp. 1102–1104, May 2009. [3] I. Xyngi and M. Popov, “Smart protection in Dutch medium voltage distributed generation systems,” in IEEE PES Innovative Smart Grid Technologies Conf. Europe, Gothenburg, Sweden, Oct. 2010. [4] I. Xyngi, “An intelligent algorithm for smart grid protection applications,”Ph.D. dissertation, , Delft University of Technology, Delft, The Netherlands, 2011. [5] I. Xyngi, A. Ishchenko, M. Popov, and L. van der Sluis, “Protection, transient stability and fault ride-through issues in distribution networks with dispersed generation,” in Proc. University Power Engineering Conf., Padova, Italy, 2008. [6] Janssen, M. van Riet, J. Bozelie, and J. Au-Yeung, “Fault current contribution from state of the art DG’s and its limitation,” in Int. Conf. Power System Transients 2011, Delft, The Netherlands [7] Krishna Murari ,Smarajit Ghosh, Nitin Singh. “An Effective Technique for Load-Flow Solution of Radial Distribution Networks”. International Electrical Engineering Journal (IEEJ) Vol. 6 (2015) No.1, pp. 1711-1715. [8] M. Reza, “Stability analysis of transmission systems with high penetration of distributed generation,” Ph.D. dissertation, , Delft University of Technology, Delft, The Netherlands, 2006. [9] M. Popov, H. Karimi, H. Nikkhajoei, and V. Terzija, “Modelling, control and islanding detection of microgrids with passive loads,” in Proc. 14th Int. Power Electronics Conf., Ohrid, Macedonia, 2010, pp. 107–112. [10] NETL (National Energy Technology Laboratory), Appendix B1: A Systems View of the Modern Grid: Integrated Communications, Feb. 2007. [11] NIST Special Publication 1108, NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 1.0, U.S. Department of Commerce, Jan. 2010. [12] P. Vermeyen, “Effect of distributed generation on fault detection and ripple control,” Ph.D. dissertation, , Katholieke Universiteit Leuven, Leuven, Belgium, 2008. [13] Nitin Singh,Smarajit Ghosh and Krishna Murari “Optimal Sizing and Placement of DG in a Radial Distribution Network using Sensitivity based Methods”.International Electrical Engineering Journal (IEEJ) Vol. 6(2015) No.1, pp.1727-1734 [14] S. G. A. Perez, “Modeling relays for power system protection studies,Ph.D. dissertation, University of Saskatchewan, Saskatchewan, Canada, 2006. [15] S. M. Brahma and A. A. Girgis, “Development of adaptive protection scheme for distribution systems with high penetration of distribute generation,”IEEE Trans. Power Delivery, vol. 19, pp. 56–63, 2004. [16] Trilliant White Paper, Wireless WAN for the Smart Grid command and control grid applications that require real time or near-real-time response, HTTP retrieved on March 2011. [17] V. Terzija, G. Valverde, D. Cai, P. Regulski, V. Madani, J. Fitch, S. Skok, M. M. Begovic, and A. Phadke, “Wide-area monitoring, protection and control of future electric power networks,” Proc. IEEE, vol. 99, no. 1, pp. 80–93, Jan. 2011. 1769 Arulkumar and Thangavel An Internet Protocol Quality of Service Algorithm for the Protection of Smart Power Systems International Electrical Engineering Journal (IEEJ) Vol. 6 (2015) No.2, pp. 1765-1770 ISSN 2078-2365 http://www.ieejournal.com/ [18] V. Cagri Gungor and Frank C. Lambert, “A Survey on Communication Networks for Electric System Automation”, Computer Networks 50 (2006) 877–897, Elsevier. 1770 Arulkumar and Thangavel An Internet Protocol Quality of Service Algorithm for the Protection of Smart Power Systems