SIMEAS SAFIR The network quality system: Know your network quality avoid faults minimize downtime
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1 SIMEAS SAFIR The network quality system: Know your network quality avoid faults minimize downtime Power Transmission and Distribution
2 The intelligent way to monitor your power system network: Know in advance instead of counting the cost afterwards. SIMEAS SAFIR the system solution for data integration of various devices within the network Network quality is of increasing importance as a competitive factor in deregu lated energy markets. One of the funda mental issues in this context is the mini mizing of network outages. The quicker a fault can be analyzed, the more clearly faults can be identified and therefore the shorter the downtime and as a result, the more likely contractual penalties can be limited or even prevented. The best option however is to prevent faults from occurring to development in the first place. The preconditions for this, is a consequent condition monitoring, i.e. continuous monitoring and documentation of network states. From this, the preventative maintenance work can be derived and planned. Those who invest in network quality are taking proactive steps against outages and associated costs. Fully integrated system In today s electrical networks, digital de vices are increasingly being used. In addition to their core functionality, the devices are capable of data registration. Ensuring compatibility and seamless data exchange is becoming more and more important thereby. Compatibility problems due to manufacturer-specific software products have to be overcome and international standards are of increasing importance. All of this means that you, the network operator, can seamlessly document fault states in your network and the quality of the supplied electrical energy. With SIMEAS SAFIR, you have a system that integrates all device types (see Fig. 3) and therefore enables consistent, standardized network monitoring. Figure 1: Example of an electrical network (Switzerland) 2
3 With SIMEAS SAFIR, analyses are completely automated and documented. An overview of the options: Fully automated distance to fault location in high voltage networks encompassing all data relating to the network event. Fully automated distance to fault location in medium voltage networks encompassing all data relating to the network event. Fully automated generation of power quality reports in accordance with applicable PQ standards (EN 50160; IEC 61000). Monitoring functionality. SIMEAS SAFIR s benefits for you Information on network states is compared with the best diagnosis and assigned to a best result report, independently of which device the information originates. Deviations are quickly seen, i.e. you have a decisive analysis origin for rapid fault clarification. Ad-hoc measures for fault clarification can be replaced with planned maintenance, drastically reducing outage time after a fault. Condition monitoring of your network equipment allows preventative maintenance hence faults might not even occur. UW Benken Protection Fault records Fault records Fault records Fault records UW Sils Fault recorder Diagnosis reports Network event UW Benken PQ recorder Grouping functionality Complex event Best diagnosis PQ reports Mean values UW Siebnen PQ recorder PQ reports PQ reports Figure 2: Faults are clearly associated with the affected substations by grouping Automatic information system Fax Printer Intranet SMS Server Redundant server (option) Internet SIMEAS SAFIR System at customer center Customer communication system (WAN/LAN, analog or digital telephone system) Other substations Station data concentrator Siemens substation control system Third-party substation control system Siemens fault recorders Siemens PQ recorders Protection devices with IEC Protection relays Protection relays Figure 3: Overview of a network quality system configuration with SIMEAS SAFIR. 3
4 Fast identification, reliable diagnosis: Quality requires transparency. Automatic and efficient instead of manual and cumbersome. SIMEAS SAFIR redefines fault identification. Without network quality systems, the process (data transfer, analysis, start of fault clearance, information distribution, reporting and archiving) must be carried out manually. Fault susceptibility and time used are high, particularly where the data originates from different, noncompatible systems. Figure 4: Network topology 4
5 Figure 5: Overview Network topology Faults that occur are firstly recorded by the relevant devices. SIMEAS SAFIR enables their automatic transfer and analysis. Diagnosis results are also distributed across the information system in the same automatic way. Overview An overview is created in SIMEAS SAFIR, which informs those in charge a few minutes later. The results are classified auto matically. Figure 6: Diagnosis results Diagnosis results Within just a few minutes, SIMEAS SAFIR supplies reliable diagnosis results. This is thus the basis for the rapid and targeted implementation of measures, because every minute counts for network outages and their troubleshooting. Grouping SIMEAS SAFIR groups all affected data sets according to the affected system. In this way a rapid and reliable overall picture is attained of which faults have occurred in which part of the network. The results are automatically archived in order to ensure seamless documentation and to be able to access the fault history at any time. Figure 7: Grouping Analysis Detailed analysis also takes place auto matically with SIMEAS SAFIR, whereby the results are compared with the best diagnosis. In this way, the cause of a fault can be quickly identified. Figure 8: Analysis 5
6 Information on all relevant channels: Everybody knows what needs to be known From Web to fax: almost any way is possible When it comes to network quality it s speed and transparency, which count. SIMEAS SAFIR distributes all relevant information on a network event in the fastest way to whom that need to know. In this way, the correct recipients get the information within minutes, and can implement the necessary reactions in a prompt and coordinated way. Transparency at all times: Websites on customers Intranet At a click of the relevant site, customers can see automatically generated information from SIMEAS SAFIR in their Intranet. To do this they do not need to know the devices from which the data originates in any detail what counts is the evaluation. Provide your personnel with all means of online analyses and reporting. Direct to recipients: A further quick and direct way is notification by . This is to be recommended in particular where selected individuals should be informed of bay or substation where the fault occurs in their area of responsibility. This information service provides clearly comprehensible results in short form. Information in short form: SMS The alternative to one mobile phone message and the relevant individuals are quickly informed. The SIMEAS SAFIR Administrator can assign priorities. This avoids a flood of SMS in which truly relevant information may get lost. For less can often mean more. Black and white: in paper form The classical printout of the fault should not be omitted, so that the information is conveniently available in black and white. Complexity can also be transmitted: Fax If there are graphical overviews that cannot be transmitted by SMS, fax machines can also be incorporated into the information chain. More individuals, more services: Internet applications Is it recommendable that you can provide selected individuals from customer companies with access to agreed information? Then a secure Internet connection is the fastest and most economical way. Of course, you can also use these Internet applications as a platform for services for other power supply companies. 6
7 SIMEAS SAFIR your benefits shown in practical application: in distance to fault location Fully automatic fault location enables faults to be localized and evaluated quickly and securely. Fast and secure fault localization Efficient coordination of personnel deployment, adjusted for weather and time of day Minimization of outage times and power outage Figure 9: Fault location in deterioration and defects in equipment The users develop better and better understanding of faults and possible sources through clearly displayed causes. Planned repairs during normal working times Avoidance of fault-related outages Figure 10: Deterioration and defects in equipment for fault analysis and fault prevention Understanding of faults is increased, and thereby also the speed and systematics of troubleshooting. Clear reconstruction of fault evolution Understanding the fault cause Targeted definition of measures for improvement Generation of detailed documentation for insurance purposes Figure 11: Fault analysis and fault prevention 7
8 Figure 12: Ferro resonance in ferro resonance Open or short lines, unloaded lines are very susceptible to ferro resonance. At 16.7 Hz and full amplitude, a voltage transformer can be destroyed. Figure 13: Breaker flash-back Remedy without damage due to exchange and burdening Prevention of fault-related outages breaker flash-back Contaminated oil can easily lead to breaker flash-back, which is also a possible source of fault. Unplanned breaker revision Prevention of severe maloperations Monitoring of equipment Figure 14: Monitoring in monitoring In cases where arc extinguishing times are longer, rapid fault identification and fast action are needed. Timely breaker maintenance Prevention of fault-related outages in power quality SIMEAS SAFIR automatically generates daily, weekly and monthly reports according to the standards EN or IEC or according to an individual, pre-defined profile. Seamless documentation of network quality Assistance for third parties (partner companies) Important document in cases of dispute Figure 15: Power quality 8
9 Fast return on investment: Invest in your most valuable asset power quality A network quality system is a good investment: you invest on the long term in a safe value, assisting in achieving acceptance of your tender. The return on investment is thereby achieved within a man ageable time frame. 4,000,000 3,500,000 3,000,000 2,500,000 Remark: The ROI estimation is based on a sample calculation without obligation. Please ask for a adapted ROI calculation for your application. 2,000,000 1,500,000 1,000, ,000 0 Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10 Total costs without SIMEAS SAFIR Total costs + investment + maintenance contract with SIMEAS SAFIR 9
10 Siemens AG Power Transmission and Distribution Energy Automation Division P.O. Box Nuremberg Germany For more information, contact our Customer Support Center. Phone: / Fax: / (Subject to charges: e. g. 0,12 /min) Order No. E50001-U310-A10-X-7600 Printed in Germany Dispo TH PA The information in this document contains general descriptions of the technical options available, which do not always have to be present in individual cases. The required features should therefore be specified in each individual case at the time of closing the contract.
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