The Basic Reliability Calculations Definition Reliability is a general quality of an object – an ability to perform a desired function, sustaining the values of rated operational indicators in given limits and time according to given technical conditions. Reliability is probability that an activity of an appliance in given time and given operation conditions will be adequate to its purpose. EIA (Electronic Industry Association, USA) Reliability Calculations 1. Reliability of single parts of networks in the time of production of project documentation 2. Reliability of already operated networks 3. Reliability in the area of control of electric power system operation Numerical Representation of Reliability (Classical - reliability of elements) failure rate [ year-1] mean time of failure [ h ] probability of failure-free run R [ - ] probability of failure Q [ - ] mean time between failures tS [ h ] Restored x Not restored objects Mean time between failures x Mean time to failure Global Indices of Reliability (Reliability of electric energy supply) – Outage rate - SAIFI average system outage rate (number of outages/year/consumer) – Total time of all outages - SAIDI average system outage time (min/year/consumer) – Time of one outage - CAIDI (min/outage) average outage time at a customer Bathtub curve Early failure period I Constant failure rate period II Wear-out failure period III t The relation between the function of reliability and failure rate is: For failure rate it is valid: Division of Probability of Failure Exponential division Exponential rule of failure Poisson’s division If k = 0, there is probability of no failure, therefore probability of failure-free running. Weibull’s deal Calculation of Reliability in Electricity Industry Obtaining of input values for reliability calculations A priori reliability – determination of reliability quantities from data of a producer. Empirical reliability – monitoring of failures in electricity industry. The empirical method is mostly used for obtaining the input values for reliability calculations, because an application of a priori reliability method requires different attitude to every element of electricity system. Analysis of Distribution Network Failure Databases • • • • • • • Exclusive outage databases had been on the rise since 1975 in the former Czechoslovakia. Unfortunately, database building stopped in1990 because of political and social changes. Thanks to the expert group CIRED Czech distributors opted for unified monitoring of global reliability indices and the reliability of selected pieces of equipment in 1999 again. Data for the reliability computation is centrally processed and analyzed at the VSB - Technical University of Ostrava since the year 2000. Collected data are often heterogeneous. It is necessary to solve the storage, indexing, and also transformation of such data. We need to create a common relational scheme for the storage of the data, a new relation makes the querying and analysis possible. • Database range 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Region1 Region2 Region3 Region4 Region5 Region6 Region7 Region8 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 1 - 12 Heterogeneous Data • We developed a common relational schema. Order 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Attribute Distribution company Outage identification Outage type Distribution point Distribution area Network type Network voltage Equipment voltage Original outage identification Outage cause Equipment type Failed equipment Type of equipment Amount of failed equipment Short circuit type Producer Production year Outage start time First manipulation End of manipulations End of outage End of equipment failure Time of dead earth Unsupplied power at the outage start Unsupplied power at the end of manipulations Unsupplied distribution transformers at the outage start Unsupplied distribution transformers at the end of manipulations Unsupplied customers at the outage start Unsupplied customers at the end of manipulations Number of unsupplied customers multiplied by time of their outage Failure type Description Unique number of a distributor Unique number of an outage Accidental, planned or forced Type of substation: single, double busbar substation, . . . Specification of the location Insulated system, resonant grounded neutral system, . .. 0.4 kV, 22 kV, . . . 0.4 kV, 22 kV, . . . Unique number of the outage cause Foreign influences, causes before starting operation, . . . Overhead line, underground line, . . . Specific equipment: conductor, switch, pole, fuse, . . . Further specification: wooden pole, steel pole, . . . One-line-to-ground fault, ground fault, line-to-line grounded fault, . . . Siemens, ABB, . . . Production year of the equipment Failure limitation start time Failure limitation time Supply renewal time for all consumers Equipment reparation end time With or without equipment fail Results Failure rate N λ Z P (year-1) N = number of failures (-) Z = number of elements of the given type in the network (-) P = the considered period (year) Results Mean duration of the failure N τ t i 1 i N N = number of failures (-) ti = the considered period (h) (h) Results • The value tendency of reliability indices of the 22 kV cable Mean time to repair (h) 7 0.1 0.09 0.08 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0 6 5 4 3 2 1 0 200020012002 20032004 200520062007 20082009 Total ) (year-1) -1 (h) Failure rate (year Cable 22 kV Results • Comparison with methodology ČEZ 22/80 ČEZ 22/80 Equipment 2000 - 2009 22 kV cable (year-1) (h) 14.5 215 5.480 4.034 22 kV overhead line (year-1) (h) 14 3 3.018 4.163 110 kV overhead line (year-1) (h) 5.2 3.5 0.370 3.992 MV/LV transformer (year-1) (h) 0.03 2500 0.007 4.315 110 kV/MV transformer (year ) (h) 0.04 1300 0.059 0.480 22 kV circuit breaker (year-1) (h) 0.015 30 0.016 64.179 110 kV circuit breaker (year-1) (h) 0.01 100 0.052 47.425 -1 Results • Division of failures according to their causes Četnosti příčin událostí 1 2 3 4 8 9 Causes before starting operation Operation and maintenance causes Foreign influences Forced outage Cause not explained Other causes The Main Calculation Methods of Reliability Department of electrical power engineering Markov‘s processes Method of reliabilty schemes Simulative methods Method of Reliability Schemes - - make-up of reliability diagram, assignment of relevant reliability quantities to single elements, simplification of reliability diagram towards one element, Advantages: - considered systems do not have to really exist as yet, procedure of solving is well-arranged and not exacting concerning mathematics, mathematical procedure does not require iterative calculation, accuracy of results depends only on the accuracy of input parameters of calculation. Disadvantages: - - it is impossible to pursue power balance of network, „T“ type bay can be modelled only approximately. Rule of Multiplication of Probabilities : P(A) probability of occurrence of A P(B) probability of occurrence of B Series systems A failure of one element leads to a failure of a system. Probability of failure-free run: Parallel Systems A failure of a system occurs when all elements have a failure Probability of a failure: Probability of failure-free run: Simplified Probability of failure-free run: Methodology of Calculation of Reliability according to ČEZ 22/80 Regulation Advantages: - takes into account maintenance outages, enables to include manipulation into calculation as well, takes so-called cold reserves into account. The disadvantage is that this methodology does not include so-called coordination of maintenance. These operating states are considered with calculation: operation, failure outage, maintenance outage. Supposition and simplification: - the effect of weather on failure rate and repair rate is not taken into account, exponential division of distributive function of time of failures and repairs for all elements of electric network is taken into account, average data are started from. Series connection of elements For this circuit with two elements it holds: P ... Failure rate [year-1] U ... Maintenance rate [year-1] ... Outage rate (maintenance + repair) [year-1] Mean times of outages of a two-elements system: Parallel connection of elements – hot reserve Failure rate: Mean time of failure: Maintenance outage cannot occur at this connection, because at the failure of one element maintenance of another element will not begin. Parallel circuit of elements – cold reserve …. Manipulation time [h] Simulation Methods of Calculation of Reliability It is necessary to know the intensity of outages and mean time of outages of all the elements of a system. Simulation - numerical method which resides in experimenting with mathematical models of real systems on numerical computers. Advantages: - considered systems do not have to really exist as yet, - considered systems can be too complicated for using analytical methods, - simulation makes possible study of behaviour of systems in real, accelerated, or retarded time. The second possibility is the most important in this case, because the processes of outage of elements and their re-introduction into operation are very slow. It would be very inefficient to study them in any other time but accelerated. - with simulation it is possible to verify results obtained by other independant processes, - possibility of modelling „T“ type bays - simple power balance of a diagram is carried out, outage is always simulated at overloaded elements. Disadvantages of simulation methods: - construction of a useful simulation model is very time-consuming. Mostly several variants of a model are needed. - simulation is a numerical method, so a solution of certain problem cannot be generally transferred on analogous problems. - the results obtained from stochastic simulation models are values of accidental quantities, and it would be very computer time-consuming if their accuracy should be increased - precision of results depends on the number of iterations, - the needed number of iterations depends on the extent of the solved network and on the required precision.