skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Scheduling optimal system operation using mixed integer programming

Conference ·
OSTI ID:4351217

From nuclear utilities planning methods symposium; Chattanooga, Tennessee (16 Jan 1974). In collection of papers presented at the nuclear utilities planning methods symposium. The mid-range problem of scheduling optimal system operation may be conceptually viewed as being composed of two subdivisions. For the first subdivision, a model was developed which deals with the allocation of energy and/or refueling dates to units on the system for a desired time period (planning horizon). Mixed integer programming is used as the technique of minimization in this model. The second subdivision encompasses the modeling of a nuclear power reactor core. This is a necessary component since its output is used in conjunction with a nuclear fuel economics calculation to determine nuclear iuel costs. An algorithm, NECTARS, was developed for this purpose. NECTARS is a modified and implemented version of PODECKA. The two subdivisions which comprise the model form a closed-loop scheme which seeks the minimization of total system operating cost (operation, maintenance and fuel cost) for the planning horizon. The closed-loop scheme that the two subdivisions use for determining the optimal system operating strategy functions in the following manner. An initial set of cost coefficients is provided to the system model (MIP) which selects an optimal energy and refueling policy. The results of this policy are made available to the nuclear model. This nuclear model determines a new set of cost coefficients based on this updated information. The cost coefficients of the MIP are revised to the new values just determined. At this juncture, the MIP is executed again to obtain a new optimal strategy based on the new cost coefficients. The new policy is passed to the nuclear model. The process of determining new cost coefficients and revising and executing the MIP continues. This loop is repeated until convergence to an optimal policy is reached. (6 references) (auth)

Research Organization:
Tennessee Valley Authority, Chattanooga; comps.; Oak Ridge National Lab., Tenn. (USA)
NSA Number:
NSA-29-020317
OSTI ID:
4351217
Report Number(s):
ORNL-TM-4443
Resource Relation:
Conference: Nuclear utilities planning methods symposium, Chattanooga, Tennessee, 16 Jan 1974; Other Information: Orig. Receipt Date: 30-JUN-74; Related Information: Collection of papers presented at the nuclear utilities planning methods symposium
Country of Publication:
United States
Language:
English