Common-mode outage modelling for composite system reliability assessment using sequential monte carlo simulation technique

The reliability assessment of composite generation and transmission systems now-a-days has drawn prime interest in the area of power system plamung. designing and evaluation of reliability. As the demand of the modem society is to have electrical energy as economically as possible with a specified degree of reliability, therefore, there is a significant need to assess the reliability of the composite systems. To evaluate the specified reliability of the composite systems it is necessary to include all the operational factors. Power system reliability assessment can be divided into two basic aspects: adequacy and security. Most of the probabilistic techniques presently available for reliability evaluation are in the domain of adequacy assessment. There are two basic techniques available in the literature for reliability evaluation of composite systems: the analytical approach and simulation approach. Analytical approach represents the system by analytical models and evaluate the indices from these models using mathematical solutions. Monte Carlo simulation methods, however, estimate the indices by a simulating the actual process and random behaviour of tile system. When complex operating conditions are involved and! or the number of severe events is relatively large, Monte Carlo methods are often preferable. Power system reliability evaluation by simulation can be applied in two ways: non-sequential or randomly and sequential or chronological order. The available technique for composite generation and transmission system nonnally consider only simultaneous independent outages because usually the conunon.mode failure rate is small i.e. typical values only of the order of 10% of independent failure rates. But such failures might have severe consequence on the system performance. Many utilities are, tllereforc now using common-mode representations for composite system adequacy analysis. AltllOugh the state space transition diagram for conunon-mode outages are well established. But they can only be utilized in random or non-sequential simulation not in sequential simulation. In case of conunon.mode outage. several departure transition may occur from each state, then it is difficult to predict the next transition. To overcome this difficulty a new approach has been developed in this research. This new algorithm is accommodated in the sequential simulation procedmes to evaluate power system with common-mode failures. Several conunon-mode outage groups are considered and thdr effect on reliability indices are shown in tlJis thesis. So the inadequacies associated with common-mode outages in a composite power system are higWighted more accurately in this thesis. Therefore. the results of such a study arc of great importance to the system planner and operator during the design and operation phases of a power system for more exhaustive analysis. In this research IEEE-IUS is evaluated using sequential Monte Carlo simulation technique for numerical evaluation. CHAPTER 3 GENERATION AND TRANSMISSION SYSTEMS MODELLING 2.5.1 Exponentially Distributed Random Variates Generatiun 2.6 Variance Reduction Techniques 2.7 Simulation Approach in Reliability Evaluation 2.8 Evaluating System Reliability by Monte Carlo Simulation 3.

[1]  Roy Billinton,et al.  Transmission Planning Using a Reliability Criterion, Part I: A Reliability Criterion , 1970 .

[2]  T. A. Mikolinnas,et al.  Application of Adequacy Assessment Techniques for Bulk Power Systems , 1982, IEEE Transactions on Power Apparatus and Systems.

[3]  W. J. Lyman Calculating Probability of Generating Capacity Outages , 1947, Transactions of the American Institute of Electrical Engineers.

[4]  Robert J. Ringlee,et al.  Frequency and Duration Methods for Power System Reliability Calculations, Part V: Models for Delays in Unit Installations and Two Interconnected Systems , 1971 .

[5]  K. Clents,et al.  Computation of Upper and Lower Bounds on Reliability Indices for Bulk Power Systems , 1984, IEEE Transactions on Power Apparatus and Systems.

[6]  Robert J. Ringlee,et al.  Frequency and Duration Methods for Power System Reliability Calculation Part IV: Models for Multiple Boiler-Turbines and for Partial Outage States , 1969 .

[7]  Robert J. Ringlee,et al.  Frequency and Duration Methods for Power System Reliability Calculations: II - Demand Model and Capacity Reserve Model , 1969 .

[8]  Luigi Paris,et al.  Quantitative Evaluation of Power System Reliability In Planning Studies , 1972 .

[9]  D. P. Gaver,et al.  Matkematical Models for Use in the Simulation of Power Generation Outages I-Fundamental Considerations , 1959, Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems.

[10]  L. Paris,et al.  Pumped-storage plant basic characteristics: their effect on generating system reliability , 1974 .

[11]  A. D. Patton,et al.  A Monte Carlo simulation approach to the reliability modeling of generating systems recognizing operating considerations , 1988 .

[12]  Robert J. Ringlee,et al.  Frequency and Duration Methods for Power System Reliability Calculations: I - Generation System Model , 1968 .

[13]  R. Billinton,et al.  Bulk Power System Reliability Assessment-Why and How? Part II: How? , 1982, IEEE Transactions on Power Apparatus and Systems.

[14]  J. Hammersley SIMULATION AND THE MONTE CARLO METHOD , 1982 .

[15]  Roy Billinton,et al.  Use of Monte Carlo simulation in teaching generating capacity adequacy assessment , 1991 .

[16]  Roy Billinton,et al.  Probabilistic methods applied to electric power systems-are they worth it? , 1992 .

[17]  Roy Billinton Composite System Reliability Evaluation , 1969 .

[18]  A. Merlin,et al.  New Probabilistic Approach Taking into Account Reliability and Operation Security in EHV Power System Planning at EDF , 1986, IEEE Transactions on Power Systems.

[19]  S. Vassos,et al.  A New Method for the Evaluation of Expected Energy Generation and Loss of Load Probability , 1984, IEEE Transactions on Power Apparatus and Systems.

[20]  G. E. Marks,et al.  Bulk Power System Reliability Assessment-Why and How? Part II: How? , 1982, IEEE Transactions on Power Apparatus and Systems.

[21]  Roy Billinton,et al.  Requirements for composite system reliability evaluation models , 1988 .

[22]  Roy Billinton,et al.  Transmission Planning Using a Reliability Criiterion Part 11-Transmission Planning , 1971 .

[23]  Robert J. Ringlee,et al.  Frequency and DurationMethods forPowerSystem Reliability Calculations PartIII: GenerationSystemPlanning , 1969 .

[24]  Howard P. Seelye Outage Expectancy as a Basis for Generator Reserve , 1947, Transactions of the American Institute of Electrical Engineers.

[25]  J. K. Williams Reliability: Theory and Practice. Igor Bazovsky. Prentice-Hall International, London. 1961. 292 pp. Diagrams. 42s. , 1962 .

[26]  Roy Billinton,et al.  Reliability Assessment of Large Electric Power Systems , 1988 .

[27]  Roy Billinton,et al.  Overall approach to the reliability evaluation of composite generation and transmission systems , 1980 .

[28]  Power Systems Engineering Committee Reliability Indices for Use in Bulk Power Supply Adequacy Evaluation , 1978, IEEE Transactions on Power Apparatus and Systems.

[29]  C. W. Watchorn,et al.  Probability Methods Applied to Generating Capacity Problems of a Combined Hydro and Steam System , 1947, Transactions of the American Institute of Electrical Engineers.