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Prepared Direct Testimony of Robert McCullough on Behalf of the ...

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Page 17 <str<strong>on</strong>g>of</str<strong>on</strong>g> 76SEATAC-400Plant availability calculati<strong>on</strong>s have <str<strong>on</strong>g>of</str<strong>on</strong>g>ten used a similar approach in order to get a sense <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong>distributi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong> availability for a whole portfolio <str<strong>on</strong>g>of</str<strong>on</strong>g> different power plants."For what types <str<strong>on</strong>g>of</str<strong>on</strong>g> problems are "M<strong>on</strong>te Carlo" studies most <str<strong>on</strong>g>of</str<strong>on</strong>g>ten applied'?M<strong>on</strong>te Carlo methods are most <str<strong>on</strong>g>of</str<strong>on</strong>g>ten applied to problems that defy simple closed analyticalsoluti<strong>on</strong>s, but <strong>the</strong>y are also comm<strong>on</strong>ly used to c<strong>on</strong>vincingly dem<strong>on</strong>strate phenomena that may bedifficult for reas<strong>on</strong>ably intelligent people to understand in a rigorous ma<strong>the</strong>matical way. M<strong>on</strong>teCarlo is also popular in <strong>the</strong> teaching <str<strong>on</strong>g>of</str<strong>on</strong>g> various kinds <str<strong>on</strong>g>of</str<strong>on</strong>g> ma<strong>the</strong>matics, especially in problemsrelating to probability <strong>the</strong>ory. Generally, M<strong>on</strong>te Carlo methods involve four in.pdients/steps;first, <strong>the</strong> statement <str<strong>on</strong>g>of</str<strong>on</strong>g> a real-valued hncti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> several variables, some <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong>m random variables;sec<strong>on</strong>d, <strong>the</strong> generati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> values for all <strong>the</strong> variables, including many "draws" fmm <strong>the</strong> randomvariables; third, <strong>the</strong> calculati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong> stated functi<strong>on</strong> for every set <str<strong>on</strong>g>of</str<strong>on</strong>g> values for <strong>the</strong> variables; andfourth, a statistical analysis <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong> behavior <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong> set <str<strong>on</strong>g>of</str<strong>on</strong>g> functi<strong>on</strong> values.'2How did you apply M<strong>on</strong>te Carlo methods to answer <strong>the</strong> questi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> how likely would be<strong>the</strong> unavailability <str<strong>on</strong>g>of</str<strong>on</strong>g> 45% <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong> collective generating capacity <str<strong>on</strong>g>of</str<strong>on</strong>g> a particular set <str<strong>on</strong>g>of</str<strong>on</strong>g>power plants <strong>on</strong> any day?In <strong>the</strong> instant problem <str<strong>on</strong>g>of</str<strong>on</strong>g> examining <strong>the</strong> joint availability factor for a set <str<strong>on</strong>g>of</str<strong>on</strong>g> generating plants, <strong>the</strong>M<strong>on</strong>te Carlo steps are implemented as follows:First, define <strong>the</strong> variables and <strong>the</strong> functi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> interest. In <strong>the</strong> instant case, <strong>the</strong> variables are <strong>the</strong>"Exhibit SEATAC-402 and 407.l2 Tme M<strong>on</strong>te Carlo methods implement sophisticated strategies for reducing <strong>the</strong> variance <str<strong>on</strong>g>of</str<strong>on</strong>g> estimatedvalues in simulati<strong>on</strong> studies, e.g., stratified sampling. But in comm<strong>on</strong> parlance <strong>the</strong> term has l<strong>on</strong>g since come to referto any simulati<strong>on</strong> study that includes a realistic approach to random phenomena that involves <strong>the</strong> generati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g>values that can be treated as samples from a random variable.

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