SERVICE RESTORATION CONFIRMATION THROUGH FAST OUTAGE TRACING AND METER POLLING PROCEDURES USING AUTOMATED METER READING SYSTEMS AND SOMASHEKAR D.P.
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1 Journal of Analysis and Computation, Vol. 7, No. 1, (January-June 2011) : pp ISSN : J A C Serials Publications SERVICE RESTORATION CONFIRMATION THROUGH FAST OUTAGE TRACING AND METER POLLING PROCEDURES USING AUTOMATED METER READING SYSTEMS T. ANANTHAPADMANABHA 1, R. PRAKASH 2, MANOJ KUMAR PUJAR 3 AND SOMASHEKAR D.P. 4 ABSTRACT The service restoration of distribution system is more complicated process, when the system utilities and customers are affected by large number of outages which are caused by some environmental factors. This paper is to escalate those outages we use the fast outage tracing techniques and meter polling procedures for locating the outages and for service restoration confirmation by Automated Meter Reading systems. The outage escalation process involves the finding out the outage locations according to usage of specific data which are provided by the Customers Trouble Call, Supervisory Control and Data Acquisition (SCADA), and AMR systems. The Meter polling procedure is designed for the polling schemes for the service restoration confirmation using the status of the system after the system regains its original configuration. Keywords: Automated Meter Reading (AMR), Supervisory Control and Data Acquisition (SCADA), Service Restoration, Fast Outage Tracing, Tree Structured Database, Meter Polling, Outage locating. 1. INTRODUCTION The Automated meter reading is the powerful device which collects the remote information about the consumption data from the customer utilities. The electrical utilities are exploring the use of AMR data for the filters for distribution system for locating specific functions. The signals which are coming from AMR system provides the additional information for the locating the outages and the restoration processes. However, the AMR system with low quality, information not feed directly to the outage management system. The Filters which are used in the system to removes the false outage notifications that are getting from the Automated Meter Reading systems. 1 Department of Electrical and Electronics, The National Institute of Engineering - Mysore. drapn2008@yahoo.co.in 2 Professor, HMSIT - Tumkur 3 Chief Engineer, GESCOM, Bellary Division - Karnataka. 4 Research Scholar, The National Institute of Engineering - Mysore.
2 14 T. ANANTHAPADMANABHA, R. PRAKASH AND MANOJ KUMAR PUJAR... An outage Management system is the major component in the distribution management system. So, an efficient fast outage tracing technique is used for pin pointing the outage locations. Then the outage duration will reduces drastically. Before the sophistication of outage locating procedures introduced, locating the outages in the distribution system is done by the human excellence experiences. When it combines with computer system builds the knowledgebased system with available comprehensive information. The fast outage tracing procedure is adopting the left child/right sibling tree structure data base [1]. The features about this techniques are ( i) fast outage network tracing, ( ii) convenience in the system data management and ( iii) convenient and fast notification of the system data due to some network changes. The automated meter reading systems are installed at the customers level, helped the utilities gain access to consumer consumption data, power quality in the system and real-time outage notifications when we need, these data supplement customer calls. In the entire distribution system, no single source which does not provides enough accurate information about the system status during outages by some severe environmental factors. So by using the trouble calls, SCADA and AMR systems with real-time data notifications, the meter polling procedures introduced to confirm the outage locations and restoration of the distribution system. 2. PROBLEM DEFINITION The outage locating and the restoration of system are the problems in outage management system in distribution system. The main objective of the outage management system includes data which are collected through customers level trouble calls, SCADA and AMR. The customer trouble calls are widely used for outage management system. The SCADA provides the system operational information and the status of the system monitoring, which is the supplementary source to the trouble calls during outages. Using the automated meter reading systems for the outage management application is a new type of technique currently under developments. A summary of related developments is provided in the following sections are 1. Fast Outage Tracing Procedure and 2. Meter Polling Procedure 3. PROPOSED PROCEDURES 3.1 Fast Outage Tracing Procedure The distribution system has the very complicated network configuration when it subjected into frequent switching on and switching off operations due to the fault clearing and service restoration process. For developing a fast outage tracing techniques we adopt the left child / right sibling tree structure for the data base [1]. This procedure reduces the computational time drastically. The
3 SERVICE RESTORATION CONFIRMATION THROUGH FAST OUTAGE TRACING de-energized are due to some outages in the network can be represented by sub-tree of the entire network tree. The service restoration switching action can be taken on one of ending nodes of the network tree. The procedures for the network reconfiguration in the de-energized nodes / sub-tree nodes are as follows; Step 1: Step 2: Step 3: Step 4: Step 5: The procedure will begins with tie switch node with which the subtree should be restored. Let take that switch node as a reference node. If that reference node has its parent pair node, then that parent pair node becomes the child of the reference node. If the reference node has its next related node becomes next pair node of its parent's parent. Then the reference node is set to be the original parent pair node of present reference. Repeat the procedures from Step 2 to Step 4 until the reference node become the sub-tree's last switch node of the de-energized area of the entire network. This paper use an optimal reconfiguration of system can be obtained by determining the minimum loss configuration in the radial distribution system [11]. In order to evaluate the optimality of each solution this study adopts the loss of protection co-ordinations in the protective devices, spare capacity margin of feeders against emergency cases, amount of switched load in the un-restored area. In order to achieve more efficient selection of the restoration switch, select all available candidates. This procedure adopts a method to store all the tie switch nodes to an array with the information of energized or de-energized nodes of the network. These selected candidates provide the basic information for the determination of the optimal restoration switching. The optimal restoration switching should be investigates under some system parameters such as limitations in the line capacities and the voltage drops at terminating nodes. It is also desirable to consider the following conditions (i) (ii) (iii) minimizing the un-restored area reducing the number of switching operations minimizing the unbalance of the loading rates of the distribution line feeders. This solution search can be feasibly performed by using the candidate switches, if the faulted area is divided into many parts as the number of restoration switching. The restoration switching action takes in single, double or triple switching restoration procedures as below. As detailed explanation by Y.H. Moon, B.H. Cho, H.M. Park and H.S. Ryu, the single switching restoration procedure [1] as below;
4 16 T. ANANTHAPADMANABHA, R. PRAKASH AND MANOJ KUMAR PUJAR... (i) (ii) (iii) (iv) (v) Check for all the candidate tie switches in the sub-tree due to de-energized area, choose the Pth candidate tie switch be S (j). Check for the pair tie switch in the system tree configuration, choose that pair tie switch be PS (j). Calculate the load margin of the distribution line to which the PS (j) belongs for each PS (j). Evaluate the load margin with the amount of loads to restore. If the jth load margin is less than the de-energized loads, S (j) is not taken into account from the candidate tie switches. After getting the reconfigurable network run the load flow by closing switch S (j) From the results of load flow calculation, the switch where the maximum voltage drop occurs in the system can be identified. 3.2 Meter Polling Procedure Many utilities in the system are implementing AMR system that can aid in the service restoration process. Metering new technologies and their communication system have advanced than the old mechanical meters to enable the development of AMR system. Some of the more developed applications are off-peak pricing, flexible billing, energy management system, reduced the cost in reading, maintaining and replacing meters and additional data during outages. The most widely used method for outage determination is upstream tracing the network from the location of customer trouble call and identify the first common devices as the outage location called escalation process [8]. The automated meters send the packet of information randomly using radio frequencies to a micro-cell controller (MCC) in every five minutes avoid possibility of packet collisions [2]. Then the controllers send the information through the communication devices to the utilities and central device. Then this device builds the data base and updated when it getting the recent information using real-time read procedures. The flags from the AMR are sets when there is an error in packet otherwise if the information is not receiving by MCC. This process can be used in confirming the outages, restorations and determine the state of the system. The meter polling procedure is designed based on the on-demand read features of AMR to (1) Locating the outages (2) Restoration confirmation and (3) Meter Polling Locating the Outages The main outage sources are Trouble calls, AMR and SCADA, this information fed into the filter gave the comprehensive information about the outages. This is analyzed by knowledge based system [3]. This will pin points the exact outage locations in the system.
5 SERVICE RESTORATION CONFIRMATION THROUGH FAST OUTAGE TRACING Service Restoration Confirmation This paper, the service restoration confirmation is from the on-demand read procedure of the AMR systems. This AMR sends the information to the controller. The utility can communicate with controller to retrieve the on-demand read for the restoration confirmation before sending crew to the outage location scene to check the status of the meter. The on-demand read is based on some assumptions [5]. In the meter polling procedure for restoration confirmation is based on following factors: (i) Checking the ranking of the meters The ranking of the meter can be checked based on the links which are connected in between the meter and the questioned point and the higher Packet Success Ratio (PSR) value of the meters. If some of the meters in the system have same number of links, then the meter with highest PSR should be polled first for find out the rank of the meter for the meter polling procedure. (ii) Status of the meter polled The meter status in the controller is the status of the meter at its last information retrieve tie. However, if a meter was Out, the meter send the power out flag to the controller and then the controller send the outage information to the utility. Here we polled only a meter, if the polling results are incorrect, so there is a problem in the meter either controller [8].The following are the most possible meter status based on the information from meters polled; (a) (b) (c) Fig. 1: Overview of Outage Locating Process On : The meter sends a regular packet of information after the reported outage. Maybe On : If the meter shows the status on, but the controller is failed to send the information to utility. Not Known : Here there are two possibilities, the meter shows the "Not Known" status The meter sends the power outage flag, but the controller not able to send this information to the utility, or
6 18 T. ANANTHAPADMANABHA, R. PRAKASH AND MANOJ KUMAR PUJAR... After the reported outage also, the meter has not send any information to the controller, so that the controller is no chances to send the information to the utility Meter Polling Procedure The main purpose of this procedure is to confirm the restoration after the fault cleared at the question devices in the system. The questioned device is the device that has more than one power outages at its down stream devices. The three possibilities cause power outages are at the upstream devices of the questioned device, at the questioned device and down stream devices of the questioned device. The Fig. 2 shows flow chart of how the meter polling procedure which is effectively used for the restoration confirmation. Fig. 2: Meter Polling Procedure for Restoration Confirmation
7 SERVICE RESTORATION CONFIRMATION THROUGH FAST OUTAGE TRACING Choose the questioned point, the device under this point is checked. Calculate the links and highest PSR of the meters. Poll the meter to retrieve the status of the meter. If a meter shows status on then move on to the next checking device. If not any two of the meters shows status not known note that point as the outage location. Otherwise, any two of meters shows status maybe on after cleared fault, then we knowing that the system is restored. 4. TIME AND WEATHER ISSUES The information retrieval time and the meter polling time are two time issues are comes in this paper. The information retrieval time is the important issue for determine whether the notification are retrieving for the same outages. So we have to take tolerance of one minute for the reporting time to both AMR and SCADA system. And other important issue is the polling time. In this procedure need not poll every meter so it drastically reduces the outage duration [7]. The weather conditions are adversely influences the meter polling procedure during locating the outages and the restoration confirmation process [10]. For example, if the outages are by the trees, the tree fault happened most often in summer and rainy weather. While few faults in winter and icy weather conditions, would be more likely to come trees to fall down and then lead to the outages. During summer there are higher chances for windy or stormy weather, which heavily influence tree faults. Similarly during the winter snowy weather increases the number of tree faults. In this seasonal situations, possibilities that the fluctuations in the exact notifications. So that the status of the meter is said by using this notification is incorrect. This will largely affect the entire meter-polling procedures for finding out the exact outage locations and the restoration confirmation in the system. The Fig. 3 shows the tree faults to with respect to seasons. Fig. 3: Tree Faults with Respect to Different Seasons
8 20 T. ANANTHAPADMANABHA, R. PRAKASH AND MANOJ KUMAR PUJAR TEST CASE AND RESULTS This procedure was tested on Fig. 4 feeder. This feeder is a simple distribution feeder with 3 switches, 9 transformers with 28 customers. In the feeder diagram outage locations are marked X in the feeder diagram. After, the network updated the status of system components according to outage notification. In this feeder diagram, question mark indicates the question points found by escalation procedures ([8], [5]). When meter-polling procedure runs, the polled meters are indicated by box in the diagram. Fig. 4: Feeder Diagram By the system data obtained from the test system, run the load flow in MATLAB tool box. From the results of the load flow the meters can recognize the signals, which is for the power status of the system during normal, after faulty and after fault cleared i.e., after restoration of the system. The below test case an example to describe the how the meter-polling is effectively runs for to find out the system status in the distribution network. The meters under BK01 are polled first to confirm whether the system is On or Off. If a fault occurs in XR09 was polled with status On, this cleared out the possibility that BK01 had an outage. The meters under switch SW0 we polled. Two meters were polled with status of Not known status, so switch SW01 was assumed out. The meters under the switch SW03 was polled as On status which means SW03 is also had an outage. So the final outage locations were pinpointed at switches SW01 and SW03. Table 1 shows the results of meter-polling procedure are pinpointed exact outage locations at switches SW01 and SW03.
9 SERVICE RESTORATION CONFIRMATION THROUGH FAST OUTAGE TRACING Table 1 Meter Polling Procedure Results During Outages Checked device Meter Polled and Polled Status BK01 XR09 ON SW01 XR01 NOT KNOWN XR02 NOT KNOWN SW03 XR06 NOT KNOWN XR07 NOT KNOWN After the fault cleared, the system is restored then any meters under BK01 are polled (i.e. meter id EC28), gives the power status on. So then BK01 is cleared. Then the meters under SW01 and SW03 are polled. In switch SW01, meters under the transformers XR01 and XR02 and in switch SW03, the transformers XR06 and XR07 are polled. This given status result of power status on. It is cleared that the service is restored in the system. 6. CONCLUSION This paper describes the fast outage procedure is used to locate the outages and the meter polling procedure is to confirm the system restoration. The purpose of this procedure was to find an efficient method use the comprehensive outage notifications, provide fast and effective way to locating outages and restoration processes. A knowledge-based system was developed to provide an integrated approach for solving the problems which integrated in the outage locating procedure in the system [6]. It creates the list of possible outage locations and addition weather suggestions. The major contribution of this paper using these procedures by AMR systems are ( i) using the comprehensive outage information from trouble calls, SCADA and AMR systems for exact outage locations and ( ii) design and developed meter-polling procedure for confirmation of outage locations and system restoration. The restoration process in the distribution system of the most outages can confirm without polling every meter in affected area using its PSR value of the meters. We taking an account of the PSR value on the high quality of data returned for different status in the system could be find out after a thorough search by running this meter-polling procedure using on-demand read test case comprehensive information [5]. The on-demand read of the AMR system provide utilities that can be indirectly communicating with the customers. With further development and testing of the system using the polling procedure with intelligent outage handling system [6] can be integrated in the every distribution system operation for locating outages and restoration confirmation processes. This will improve the quality of the outage handling process, reduces the errors in the outage locating and reduces the cost of the outages.
10 22 T. ANANTHAPADMANABHA, R. PRAKASH AND MANOJ KUMAR PUJAR... REFERENCES [1] Y.G. Moon, B.H. Cho, H.M. Park, H.S. Ryu, Bok-Nam Ha, and Sung-II Lim, Fault Restoration Algorithm Using Fast Tracing Technique Based on the Tree-structured Database for the Distribution Automation System, IEEE Transactions on Power Systems, [2] R. Fischer, N.N. Schulz, and G.H. Anderson, Information Management for an Automated Meter Reading System, APC [3] Y. Liu, and Noel N. Schulz, Integrated Outage Information Filter for Distribution Outage Information Using Intelligent Method, IEEE Transactions on Power Systems, [4] Emmett Kelly, AMR Should have Place in Today s Changing Industry, Pipeline and Gas Journal, Apr [5] R. Fischer, A. Laakonen, and N.N. Schulz, A General Polling Algorithm Using a Wireless AMR System for Restoration Confirmation, IEEE Transactions on Power System, 16, pp , May [6] Krishna Sridharan, and Noel N. Schulz, Outage Management Through AMR System Using an Intelligent Data Filter, IEEE Transactions on Power Delivery, 16(4), Oct [7] Y. Liu, and Noel N. Schulz, Integrated Fuzzy Filter for Distribution Outage Information, Electrical Power System Resource. [8] Y. Liu, and Noel N. Schulz, Knowledge-Based System for Disribution System Outage Locating Using Comprehensive Information, IEEE Transactions on Power Systems, 17(2), May [9] P. Jarventausta, A. Makinen, K. Kivikko, Timo Chrons, P. Trygg, and S. Vehvilainen, Using Advanced AMR System in Low Voltage Distribution Network Management, 19th International Conference on Electricity Distribution, Vienna, paper 0560, May [10] L. Xu, M.Y. Chow, and L.S. Taylor, Data Mining and Analysis of Tree-caused Faults in Power Distribution System, IEEE Transactions on Power Systems, [11] R. Srinivasa Rao, and S.V.L. Narasimham, A New Heuristic Approach for Optimal Network Reconfiguration in Distribution System, International Journal of Applied Science, Engg. And Tech., 5:
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