Designing for System Reliability Dave Loucks, P.E. Eaton Corporation © 2005 Eaton Corporation. All rights reserved. To Facility From Main To UPS To UPS From Emergency Bus From Distribution Bus What Reliability Is Seen At The Load? For example, if power flows to load as below: Assume outage duration exceeds battery capacity Utility UPS Breaker Load Series Components For example, if power flows to load as below: Assume outage duration exceeds battery capacity Utility UPS Breaker 99.9% 99.99% 99.99% Load Series Components For example, if power flows to load as below: Assume outage duration exceeds battery capacity Utility 99.9% (8.7 hr/yr) UPS Load Breaker x 99.99% x 99.99% + (0.87 hr/yr) + (0.87 hr/yr) = = 99.88% (10.5 hr/yr) Overall reliability is poorer than any component reliability Series Components For example, if power flows to load as below: Assume outage duration exceeds battery capacity Utility UPS 99.9% x 99.99% x 99.99% (8.7 hr/yr) + (0.87 hr/yr) + (0.87 hr/yr) PF* = 0.1% + 0.01% + 0.01% * PF = probability of failure Load Breaker PF = (1 – Reliability) = 1 – R(t) = = = 99.88% (10.5 hr/yr) 0.12% Series Components For example, if power flows to load as below: If outage duration less than battery capacity UPS Load Breaker 99.99% x 99.99% (0.87 hr/yr) + (0.87 hr/yr) PF = 0.01% + 0.01% = = = 99.98% (1.74 hr/yr) 0.02%* Batteries Depleted 99.88% reliable Batteries Not Depleted 99.98% reliable Parallel Components What if power flows to load like this: Assume outage duration exceeds battery capacity UPS Static ATS Utility UPS Load Parallel Components What if power flows to load like this: Assume outage duration exceeds battery capacity UPS Utility 99.9% 99.99% Static ATS UPS 99.99% 99.99% Load ?? % Parallel Components What if power flows to load like this: Assume outage duration exceeds battery capacity UPS Utility 99.9% PF* = 0.1% + 99.99% Static ATS UPS 99.99% 99.99% PF(a or b) + 0.01% = Load ?? % ?? % Parallel Components What if power flows to load like this: Solve each path independently UPSa 99.99% UPSa 99.99 % UPSb 99.99% PF(a or b) = 99.99% 99.99 % UPSb 0.01 % 99.99% x 0.01% = 0.000001 % R(t) = 1 - PF(a or b) = 99.999999% Parallel Components Multiply the two Probabilities of Failure, PF(a) and PF(b) and subtract from 1 Utility 99.9% UPSa or UPSb Static ATS 99.99% Load 99.89 % 99.999999% PF(total) = PF(u) + PF(a or b) + PF(s) = 0.1% + 0.000001% + 0.01% = 0.110001% Parallel Components Multiply the two Probabilities of Failure, PF(a) and PF(b) and subtract from 1 UPSa or UPSb Static ATS 99.99% 99.999999% PF(total) = PF(a or b) + PF(s) = 0.000001% + 0.01% = 0.010001% Load 99.99 % Summary Table Configuration Reliability Single UPS system (long term outage) 99.88% Single UPS system (short term outage) 99.98% Redundant UPS system (long term outage) 99.89% Redundant UPS system (short term outage) 99.99% Comments? Value Analysis Is going from this: Utility UPS Breaker 99.88% (only battery) 99.89% to this 0.01% difference UPS Static ATS Utility UPS worth it? 99.89% (only battery) 99.99% Availability MTBF Ai 100 % MTBF MTTR Increase Mean Time Between Failures (MTBF) Decrease Mean Time To Repair (MTTR) MTBF (100 Ai ) MTTR Ai Relationship of MTBF and MTTR to Availability 1 0.95 MTBF Availability 0.9 0.85 0.8 0.75 0.7 0.65 0 10 20 30 40 50 60 MTTR (Hours) 70 80 90 100 95% Availability from Different MTBF/MTTR combinations 1 0.95 MTBF Availability 0.9 0.85 0.8 0.75 0.7 10.5 21.1 31.6 42.1 30 40 52.6 0.65 0 10 20 50 60 MTTR (Hours) 70 80 90 100 Breakeven Analysis Total Economic Value (TEV) Simple Return (no time value of money) • TEVS = (Annual Value of Solution x Years of Life of Solution) – Cost of Solution Assume an outage > 0.1s costs $10000/yr Assume cost of solution is $30000 Assume life of solution is 10 years Breakeven Analysis Since solution eliminates this potential 0.41 second outage, we “save” $10000 each year Total Economic Value (TEV) Simple Return (no time value of money) TEVS = (Annual Value of Solution x Years of Life of Solution) – Cost of Solution TEVS = (($10000 x 1) x 10) – $100000 TEVS = $100000 - $30000 = $70000 Let’s Examine a More Complex System Source 1 99.9% 99.99% 52 Source 2 99.9% 52 K K 99.99% 99.999% Source 1 99.9% 99.99% Source 2 99.9% 52 52 99.999% 99.99% 99.999% 99.99% 99.99% 99.99% 99.999% 99.999% 99.99% 99.999% 99.99% What is the reliability at this point? Design 1 99.99% What is the reliability at this point? Design 2 Primary Selective Source 1 99.9% 99.99% 52 Source 2 99.9% 52 K K Source 1 Source 2 .999 x .9999 = 99.89% .999 x .9999 = 99.89% 99.99% 99.89% 99.999% Convert to 99.99% 99.89% 99.999% 99.99% 99.999% 99.999% 99.99% 99.99% What is the reliability at this point? What is the reliability at this point? Design 1 Combine Reliabilities: Parallel Sources Source 1 99.9% 99.99% 52 Source 2 99.9% 52 K K Source 1 or Source 2 PF1 x PF2 = PF both PF both = 0.11% x 0.11% PF both = 0.0121% 99.99% 99.999% R(t) = 1 – PF both = 100% - 0.0121% = 99.99% PF1 = 0.0121% R(t) = 99.99% 99.999% 99.99% 99.99% 99.999% 99.999% 99.99% 99.99% What is the reliability at this point? What is the reliability at this point? Design 1 Combine Reliabilities: Parallel Sources + Tx + Sec. Bkr. Source 1 99.9% 99.99% 52 Source 2 99.9% 52 K K Source 1 or Source 2 99.99% Rsource x Rtx x Rmb = R(t) = .9999 x .99999 x .9999 = .9998 99.999% 99.99% 99.999% 99.999% R(t) = 99.98% 99.99% 99.99% What is the reliability at this point? What is the reliability at this point? Design 1 Combine Reliabilities: … + bus and feeder breaker Source 1 99.9% 99.99% 52 Source 2 99.9% 52 K K Source 1 or Source 2 99.99% 99.999% Rsource x Rtx x Rmb = R(t) = .9998 x .99999 x .9999 = .99969 99.99% 99.999% 99.99% What is the reliability at this point? Design 1 R(t) = 99.969% Secondary Selective Source 1 99.9% 99.99% Source 2 99.9% 52 52 99.999% 99.99% 99.999% 99.99% 99.99% 99.999% 99.999% 99.99% 99.99% What is the reliability at this point? Design 2 Secondary Selective Source 1 99.9% 99.99% Source 2 99.9% 52 52 99.999% Source 1 99.99% 99.999% 99.99% Source 2 R(t) = Rs x Rmb x Rtx x Rsb = .999 x .9999 x .99999 x .9999 = .99879 R(t) = Rs x Rmb x Rtx x Rsb = .999 x .9999 x .99999 x .9999 = .99879 99.99% 99.999% 99.999% R(t) = 99.88% 99.99% 99.999% 99.88% 99.99% 99.99% What is the reliability at this point? Design 2 99.999% 99.99% Secondary Selective Source 1 99.9% 99.99% Source 2 99.9% 52 52 99.999% Source 1 99.99% 99.999% 99.99% Source 2 R(t) = Rs x Rmb x Rtx x Rsb = .999 x .9999 x .99999 x .9999 = .99879 R(t) = Rs x Rmb x Rtx x Rsb = .999 x .9999 x .99999 x .9999 = .99879 99.99% 99.999% 99.999% R(t) = 99.88% 99.99% 99.999% 99.99% 99.99% What is the reliability at this point? Design 2 99.999% 99.99% Secondary Selective Source 1 99.9% 99.99% Source 2 99.9% 52 52 99.999% Source 1 99.99% 99.999% 99.99% Source 2 R(t) = Rs x Rmb x Rtx x Rsb = .999 x .9999 x .99999 x .9999 = .99879 R(t) = Rs x Rmb x Rtx x Rsb = .999 x .9999 x .99999 x .9999 = .99879 99.99% 99.999% 99.999% 99.99% Rs1 = 99.879% Rbus2 = 99.999% Rbus1 = 99.999% R = 99.99% tie Rpath1 = Rs1 x Rbus1 x Rtie x Rbus2 x Rfdr Rpath1 = .99879 x .99999 x .9999 x .99999 x .9999 Rpath1 = .99857 PF1 = 1 – Rpath1 = 1-.99857 = 0.00143 = 0.143% Design 2 Rfdr = 99.99% Secondary Selective Source 1 99.9% 99.99% Source 2 99.9% 52 52 99.999% Source 1 99.99% 99.999% 99.99% Source 2 R(t) = Rs x Rmb x Rtx x Rsb = .999 x .9999 x .99999 x .9999 = .99879 R(t) = Rs x Rmb x Rtx x Rsb = .999 x .9999 x .99999 x .9999 = .99879 99.99% 99.999% 99.999% 99.99% Rs2 = 99.879% Rbus2 = 99.999% Rpath2 = Rs2 x Rbus2 x Rfdr Rpath2 = .99879 x .99999 x .9999 Rpath2 = ..99868 PF2 = 1 – Rpath2 = 1-.99868 = 0.00132 = 0.132% Design 2 Rfdr = 99.99% Secondary Selective Source 1 99.9% 99.99% Source 2 99.9% 52 52 99.999% Source 2 99.99% 99.999% 99.99% Source 1 R(t) = 1 – (PF1 x PF2) = 100% - (0.143% x 0.132%) = 100% - (0.0189%) = 99.981% 99.99% 99.999% 99.999% 99.99% R(t) = 99.981% Design 2 Comparison Method Reliability at Load 1. Primary Selective 99.969% 2. Secondary Selective 99.981% Comments? Value Analysis 1. 99.97% x 8760 = failure once every 8757 hours 2. 99.98% x 8760 = failure once every 8758 hours Assuming 1 hour repair time, we will see two, 1hour outages after 8758 hours Meaning 1/8758 hours (0.411 seconds) expected outage per year As with UPS example, what is 0.411 seconds worth? What is cost differential of higher reliability solution? Breakeven Analysis Total Economic Value (TEV) Simple Return (no time value of money) • TEVS = (Annual Value of Solution x Years of Life of Solution) – Cost of Solution Discounted Return (borrowed money has cost) • TEVD = (NPV(annual cash flow, project life, interest rate) – Cost of Solution Assume 0.411 sec of downtime costs $20000/yr Assume cost of solution is $75000 Assume life of solution is 10 years Breakeven Analysis Total Economic Value (TEV) Simple Return (no time value of money) TEVS = (Annual Value of Solution x Years of Life of Solution) – Cost of Solution TEVS = (($20000 x 1) x 10) – $200000 TEVS = $200000 - $75000 = $125000 Discounting cash flow at 10% cost of money TEVD = NPV($20000/yr, 10 yrs, 10%) – $30000 TEVD = $122891 – $75000 = $47891 Solve for Equivalent Interest Rate Knowing initial cost of and annual benefit of what is the equivalent return? $75000 $20000 $75000 Year 0 $20000 $20000 $20000 $20000 $20000 $20000 $20000 $20000 $20000 $20000 Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10 Uniform Series Present Value n= P – Present Value A – Annuity payment n – Number of periods i – Interest per period Uniform Series Present Value Equations 1 i n 1 PV A i 1 i n P – Present Value A – Annuity payment n – Number of periods i – Interest per period or i 1 i n A PV 1 i n 1 But what if PV, A and n are known and i is unknown? Iterative calculation Uniform Series Present Value Equations 1 i n 1 PV A i 1 i n n i PV RS of Equation Comment 10 5% $75000 $154435 i too low 10 30% $75000 $61831 i too high 10 20% $75000 $83849 i too low 10 25% $75000 $71410 i too high 10 23.413% $75000 $75000 correct value Breakeven Analysis Total Economic Value (TEV) Simple Return (no time value of money) TEVS = (Annual Value of Solution x Years of Life of Solution) – Cost of Solution TEVS = (($20000 x 1) x 10) – $200000 TEVS = $200000 - $75000 = $125000 Discounting cash flow at 10% cost of money TEVD = NPV($20000/yr, 10 yrs, 10%) – $30000 TEVD = $122891 – $75000 = $47891 IRR = 23.413% effective return Reliability Tools Eaton Spreadsheet Tools IEEE PCIC Reliability Calculator Commercially Available Tools Financial Tools (web calculators) Web Based Financial Analysis www.eatonelectrical.com search for “calculators” Choose “Life Extension ROI Calculator” Web Based Financial Analysis Report provides financial data Provides Internal Rate of Return Use this to compare with other projects competing for same funds Evaluates effects due to taxes, depreciation Based on IEEE Gold Book data Uncertainty – Heart of Probability Probability had origins in gambling What are the odds that … We defined mathematics resulted based on: Events • What are the possible outcomes? Probability • In the long run, what is the relative frequency that an event will occur? • “Random” events have an underlying probability function Normal Distribution of Probabilities Absolutely 100% Certain Most likely value Absolutely 0% Impossible From absolutely certain to absolutely impossible to everything in between Distribution System Reliability How do you predict when something is going to fail? One popular method uses exponential curve Absolutely Certain 50% of them are working 37% of them are working 50% 69% Mean Time Between Failures The ‘mean time’ is not the 50-50 point (1/2 are working, 1/2 are not), rather… When device life (t) equals MTBF (1/), then: R(t ) e t 1 t MTBF e e 1 0.368 The ‘mean time’ between failures when 37% devices are still operating MTBF Review Remember, MTBF doesn’t say that when the operating time equals the MTBF that 50% of the devices will still be operating, nor does it say that 0% of the devices will still be operating. It says 37% (e-1) of them will still be working. Said another way; when present time of operation equals the mean (1/2 maximum life), the reliability is 37% Exponential Probability Assumes (1/MTBF) is constant with age For components that are not refurbished, we know that isn’t true. Reliability decreases with age ( gets bigger) However, for systems made up of many parts of varying ages and varying stages of refurbishment, exponential probability math works well. Reliability versus MTBF Assume at time = 0 Reliability equals 100% (you left it running) At time > 0, Reliability is less than 100% R(t ) e t 1 t MTBF e Converting MTBF to Reliability R(t ) e Unknown t 1 t MTBF e Reliability = ? UPS Known MTBF (40000 hrs) t (8760 hrs = 1 year) R(t ) e t 1 t e MTBF 1 8760 40000 e 80 .3% e 0.219 Great, I’ve Found Problems, Now what? 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