FORMOSA-P multiple adaptive penalty function methodology

Journal Article · Tue Dec 31 04:00:00 EST 1996 · Transactions of the American Nuclear Society

OSTI ID:426519

Keller, P M; Turinsky, P J ^[1]

---

1. North Carolina State Univ., Raleigh, NC (United States)

The nuclear fuel management optimization code FORMOSA-P has been developed to determine the family of near-optimum loading patterns for pressurized water reactors. The FORMOSA-P code utilizes the nonlinear stochastic optimization approach of simulated annealing, wherein an objective function is calculated to evaluate the suitability of the candidate loading patterns. During the course of a simulated annealing cooling cycle, the penalty function multiplier is adaptively increased to eliminate the penalty constraint violations by the end of the cooling cycle. In early versions of FORMOSA-P, only one adaptive penalty function, for power peaking, was available. All other design constraints were handled via true-false constraints. The introduction of generalized perturbation theory (GPT) error control which greatly increased the design space accessible in a single cooling cycle, and modern core designs, which are increasingly tightly constrained by multiple design constraints, however, have made these true-false constraints undesirable; thus, a methodology for inclusion of multiple adaptive penalty constraints has now been developed.

• OSTI ID: 426519
• Report Number(s): CONF-961103--
• Journal Information: Transactions of the American Nuclear Society, Journal Name: Transactions of the American Nuclear Society Vol. 75; ISSN 0003-018X; ISSN TANSAO
• Country of Publication: United States
• Language: English

Related Subjects

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS
BOUNDARY CONDITIONS
BURNUP
COMPUTERIZED SIMULATION
F CODES
FUEL MANAGEMENT
OPTIMIZATION
PWR TYPE REACTORS