nach oben

Erschienen in:

2011 | OriginalPaper | Buchkapitel

20. Application of Reliability and Optimization Methods

verfasst von : Marko Čepin

Erschienen in: Assessment of Power System Reliability

Verlag: Springer London

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The field of application of reliability and optimization methods is a wide field covering several theoretical and practical problems and their solutions. The following topics are presented in more details: standby equipment reliability optimization, reliability analysis of substations, configuration control, optimization of power plants maintenance schedules, and optimal generation schedule of power system. Optimization of test and maintenance intervals of standby equipment is related to the positive and negative aspects of surveillance tests of standby equipment. Reliability analysis of substations is related to comparative analysis of substations based on reliability or based on reliability and costs. Configuration control is related to management of component and system arrangements, which differs in component or system status: available versus unavailable, to primarily control of the risk and reliability of the considered facility. Optimization of power plants maintenance schedules is related to schedule the maintenance of the power generating units, which means that the generating units are periodically taken out of the operation and they are subjected to the maintenance activities. The optimal generation schedule of power system is related to optimize the schedule of the outputs of all available generation units in the power system to minimize the fuel cost while operating and satisfying the operation constraints, including those connected to minimization of the emission of gaseous pollutants.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Simulated Annealing

Vaurio JK (1995) Optimization of test and maintenance intervals based on risk and cost. Rel Eng Syst Saf 49:23?36CrossRef

Čepin M, Mavko B (1997) Probabilistic safety assessment improves surveillance requirements in technical specifications. Rel Eng Syst Saf 56:69?77CrossRef

Martorell S, Carlos S, Sanchez A et al (2000) Constrained optimization of test intervals using a steady-state genetic algorithm. Rel Eng Syst Saf 67:215?232CrossRef

Čepin M (2002) Optimization of safety equipment outages improves safety. Rel Eng Syst Saf 77:71?80CrossRef

Yang JE, Sung TY, Yin Y (2000) Optimization of the surveillance test interval of the safety systems at the plant level. Nucl Tech 132:352?365

Harunuzzaman M, Aldemir T (1996) Optimization of standby safety system maintenance schedules in nuclear power plants. Nucl Tech 113:354?367

Lapa C et al (2003) Surveillance test policy optimization through genetic algorithms using non-periodic intervention frequencies and considering seasonal constraints. Rel Eng Syst Saf 81:103?109CrossRef

Marseguerra M, Zio E (2000) Optimizing maintenance and repair policies via a combination of genetic algorithms and Monte Carlo simulation. Rel Eng Syst Saf 68(1):69?83CrossRef

Martorell S, Carlos S, Villanueva JF et al (2006) Use of multiple objective evolutionary algorithms in optimizing surveillance requirements. Rel Eng Syst Saf 91(9):1027?1038CrossRef

10.

Martorell S, Carlos S, Villanueva JF, Sánchez AI, Čepin M (2005) Optimization of surveillance requirements at NPP considering time-dependent scheduling of tests and preventive maintenance. In: Proceedings of the European and reliability conference, ESREL, Balkema, Taylor & Francis, pp 1363?1370

11.

Martorell S, Sánchez A, Carlos S et al (2004) Alternatives and challenges in optimizing industrial safety using genetic algorithms. Rel Eng Syst Saf 86(1):25?38CrossRef

12.

Roberts NH, Vesely WE, Haasl DF, Goldberg FF (1981) Fault tree handbook. NUREG-0492 NRC, Washington

13.

Vesely W, Dugan J, Fragola J et al (2002) Fault tree handbook with aerospace applications. NASA

14.

Čepin M, Mavko B (2002) A dynamic fault tree. Rel Eng Syst Saf 75(1):83?91CrossRef

15.

Čepin M (2005) Analysis of truncation limit in probabilistic safety assessment. Rel Eng Syst Saf 87(3):395?403CrossRef

16.

Mosleh A, Fleming KN (1988) Procedures for treating common cause failures in safety and reliability studies. NUREG/CR-4780, NRC, Washington

17.

Volkanovski A, Čepin M, Mavko B (2009) Application of the fault tree analysis for assessment of power system reliability. Rel Eng Syst Saf 94(6):1116?1127CrossRef

18.

Volkanovski A, Čepin M, Mavko B (2008) Slovenian power system reliability analysis. In: TopSafe 2008 Proceedings international topical meeting on safety of nuclear installations. Dubrovnik, ENS

19.

Kan?ev D, ?auševski A, Čepin M, Volkanovski A (2007) Application of probabilistic safety assessment for macedonian electric power system. In: Proceedings of international conference on nuclear energy for new Europe, NSS

20.

Čepin M (2010) Switchyard fault tree analysis: reliability, risk and safety: back to the future. In: Proceedings ESREL2010, Taylor & Francis, pp 638?643

21.

Čepin M (2010) Assessment of switchyard reliability with the fault tree analysis. In: Proceedings of international conference on probabilistic safety assessment and management, IAPSAM

22.

IEEE Gold Book (2007) IEEE recommended practice for the design of reliable industrial and commercial power system, ANSI/IEEE Std 493-2007, IEEE

23.

IEEE Standard 500 (1984) IEEE guide to the collection and presentation of electrical, electronic, sensing component, and mechanical equipment reliability data for nuclear-power generating stations, appendix D, reliability data for nuclear-power generating stations, IEEE

24.

T-Book: reliability data of components in Nordic nuclear power plants (2000) Villingby, Sweden TUD Office and P²n Consulting

25.

IAEA-TECDOC-478 (1988) Component reliability data for use in probabilistic safety assessment. IAEA

26.

Grigg C, Wong P, Albrecht P, Allan R, Bhavaraju M, Billinton R, Chen Q, Fong C, Haddad S, Kuruganty S, Li W, Mukerji R, Patton D, Rau N, Reppen D, Schneider A, Shahidehpour M, Singh C (1999) The IEEE reliability test system?1996: a report prepared by the Reliability Test System Task Force of the application of probability methods subcommittee. IEEE Trans Power Syst 14(3):1010?1020CrossRef

27.

Atwood CL, La Chance JL, Martz HF et al (2003) Handbook of parameter estimation for probabilistic risk assessment. NUREG/CR-6823, NRC

28.

Denson W, Crowell WH, Mahar D et al (1996) Electronics parts reliability data: a compendium of commercial and military device field failure rates, 1997, EPRD-97. Reliability Analysis Center

29.

Drago JP, Borkowski RJ, Pike DH et al (1982) The in-plant reliability data base for nuclear-power-plant components: data collection and methodology report, NUREG/CR-2641. Oak Ridge National Laboratory, NRC

30.

Reliability Prediction of Electronic Equipment (1986) Issue E, MIL-HDBK217E, Department of Defense

31.

European Industry Reliability Data Handbook (1991) Electrical Power Plants EUROSTAT, EIREDA, Paris

32.

Volkanovski A (2008) Impact of offsite power system reliability on nuclear power plant safety. PhD thesis, University of Ljubljana

33.

Kiper KL (2002) Insights from an all-modes PSA at Seabrook Station. In: Proceedings of the international topical meeting on probabilistic safety assessment, Detroit, ANS, pp 429?434

34.

NUREG/CR-6144 (1995) Evaluation of potential severe accident during low power and shutdown operations at Surry, Unit 1, NRC

35.

Volkanovski A, Mavko B, Boševski T et al (2008) Genetic algorithm optimization of the maintenance scheduling of generating units in a power system. Rel Eng Syst Saf 93:779?789CrossRef

36.

Volkanovski A (2005) Optimization of the maintenance of the generating units in the power system using genetic algorithm. Master’s thesis, Faculty of Electrical Engineering, Skopje

37.

Dopazo JF, Merrill HM (1975) Optimal generator maintenance scheduling using integer programming. IEEE Trans Power Appar Syst 94(5):1537?1545CrossRef

38.

Yamayee ZA (1982) Maintenance scheduling: description, literature survey and interface with overall operations scheduling. IEEE Trans Power Appar Syst 101(8):2770?2779CrossRef

39.

Podbury C, Dillon T (1987) An intelligent knowledge based system for maintenance scheduling in a power system. In: Proceedings of the 9th power systems computation conference (PSCC), Lisbon, pp 708?714

40.

Choueiry B, Sekine Y (1988) Knowledge based method for power generators maintenance scheduling. In: Proceedings of the expert systems applications to power systems (ESAP), Helsinki, pp 97?14

41.

Chen L, Toyoda J (1990) Maintenance scheduling based on two-level hierarchical structure to equalize incremental risk. IEEE Trans Power Syst 5:1510?1516CrossRef

42.

Satoh T, Nara K (1991) Maintenance scheduling by using simulated annealing. IEEE Trans Power Syst 6(2):850?857CrossRef

43.

Chen L, Toyoda J (1991) Optimal generating units maintenance scheduling for multi-area system with network constraints. IEEE Trans Power Syst 6:68?74

44.

Mukerji R, Merrill H, Ericson B et al (1991) Power plant maintenance scheduling-optimizing economics and reliability. IEEE Trans Power Syst 6:476?483CrossRef

45.

Yellen J, Al-Khamis TM, S Vemuri et al (1992) A decomposition approach to unit maintenance scheduling. IEEE Trans Power Appar Syst 7(2):726?733CrossRef

46.

Al-Khamis TM, Yellen J, Vemuri S et al (1992) Unit maintenance scheduling with fuel constraints. IEEE Trans Power Appar Syst 7(2):933?939CrossRef

47.

Lin C, Huang C, Lee S (1992) An optimal generators maintenance approach using fuzzy dynamic programming. In: Proceedings of IEEE/PES summer meeting, Seattle, pp 401?410

48.

Kralj B, Rajakovic N (1994) Multiobjective programming in power system optimization: new approach to generator maintenance scheduling. Int J Electr Power Energy Syst 16(4):24?32CrossRef

49.

Dahal K, McDonald J (1997) A review of generator maintenance scheduling using artificial intelligence techniques. In: Proceedings of the 32nd University Power Eng Conf (UPEC), Manchester, pp 787?790

50.

Kim H, Hayashi Y, Nara K (1997) An algorithm for thermal unit maintenance scheduling through combined use of GA, SA and TS. IEEE Trans Power Syst 12:329?335CrossRef

51.

Bretthaner G, Gamaleja T, Handschin E et al (1998) Integrated maintenance scheduling system for electrical energy systems. IEEE Trans Power Delivery 132:655?660CrossRef

52.

Moro L, Ramos A (1999) Goal programming approach to maintenance scheduling of generating units in large scale power system. IEEE Trans Power Syst 14:1021?1028CrossRef

53.

Kaplan S (2008) Power plants: characteristics and costs. CRS Report for Congress

54.

Wood AJ, Wollenberg BF (1996) Power generation operation and control. Wiley, New York

55.

Grainger JJ, Stevenson WD (1994) Power system analyses. McGraw-Hill, London

56.

King TD, El-Hawary ME, El-Hawary F (1995) Optimal environmental dispatching of electric power systems via an improved hopfield neural network model. IEEE Trans Power Syst 10(3):1559?1565CrossRef

57.

Zhang PX, Zhao B, Cao YJ et al (2004) A novel multi-objective genetic algorithm for economic power dispatch. IEEE Universities Power Eng Conf 1:422?426

58.

Bharathi R, Kumar MJ, Sunitha D et al (2007) Optimization of combined economic and emission Dispatch problem: a comparative study. IEEE Power Eng Conf 134?139

59.

Ozyon S, Yasar C, Aslan Y et al (2009) Solution to environmental economic power dispatch problems in hydrothermal power systems by using genetic algorithm. IEEE Conf Electr Electron Eng I-387?I-391

60.

Abido MA (2009) Multiobjective particle swarm optimization for environmental economic dispatch problem. Electr Pow Syst Res 79:1105?1113CrossRef

61.

Palanichama C, Babu NS (2008) Analytical solution for combined economic and emissions dispatch. Electr Pow Syst Res 78:1129?1137CrossRef

62.

Lakshminarasimman L, Subramanian S (2008) A modified hybrid differential evolution for short-term scheduling of hydrothermal power systems with cascaded reservoirs. Energ Convers Manag 49:2513?2521CrossRef

63.

Mandal KK, Chakraborty N (2008) Differential evolution technique-based short-term economic generation scheduling of hydrothermal systems. Electr Pow Syst Res 78:1972?1979CrossRef

64.

Simopoulos DN, Kavatza SD, Vournas CD (2007) An enhanced peak shaving method for short term hydrothermal scheduling. Energ Convers Manag 48:3018?3024CrossRef

65.

Basu M (2008) Dynamic economic emission dispatch using nondominated sorting genetic algorithm-II. Electr Pow Energ Syst 30:140?149CrossRef

66.

Liang RH, Liao JH (2007) A fuzzy-optimization approach for generation scheduling with wind and solar energy systems. IEEE Trans Power Syst 22(4):1665?1674CrossRef

67.

Haupt RL, Haupt SE (2003) Practical genetic algorithms. Wiley, New YorkCrossRef

68.

Gjorgiev B (2010) Fuzzy-genetic optimization approach for generation scheduling with system consisted of conventional and renewable energy sources. Master’s thesis, 2010

69.

Zhu J (2009) Optimization of power system operation. Wiley, Piscataway, NJCrossRef

Titel: Application of Reliability and Optimization Methods
verfasst von: Marko Čepin
Verlag: Springer London
Buch: Assessment of Power System Reliability
Print ISBN: 978-0-85729-687-0

Electronic ISBN: 978-0-85729-688-7

Copyright-Jahr: 2011
DOI: https://doi.org/10.1007/978-0-85729-688-7_20

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"