Mathematical decomposition techniques for power system expansion planning: Volume 5, Use of parallel computers for multi-area expansion planning: Preliminary results, Final report

Technical Report · Mon Feb 01 04:00:00 EST 1988

OSTI ID:5433435

Granville, S; Pereira, M V.F.; Dantzig, G B; Avi-Itzhak, B; Avriel, M; Monticelli, A; Pinto, L M.V.G.

The expansion planning problem under uncertainty is the central problem of our research. The problem is to find an expansion schedule which minimizes total discounted capital expenditures and operating costs over a long time frame subject to specified levels of reliability of a multi-area electric utility system. To test methodology described in Volume 1 of this report, models of two multi-area systems, one in the East and another in the West, were constructed. The east-coast system is purely illustrative with imaginary input data. The data for the western one is more realistic and we continue to make it more so. When the current project terminated October 14, 1986, work was underway to update its data and to improve its formulation. The reader is therefore cautioned to view all the outputs of model runs presented in this report as tests of methodology. The decomposition model consists of a master program, which evaluates the overall costs, and a multiple-area planning problem in a multi-period time frame. Investment decisions are made in the master program and passed to the ''subproblems,'' for each timer period, which return their results in the form of sensitivity analyses. These are then incorporated into the ''master'' problem, determining a new set of capital acquisitions, until an optimal solution is reached. 36 refs., 11 figs.

• Research Organization: Stanford Univ., CA (USA). Systems Optimization Lab.
• OSTI ID: 5433435
• Report Number(s): EPRI-EL-5299-Vol.5; ON: TI88920203
• Country of Publication: United States
• Language: English

Related Subjects

20 FOSSIL-FUELED POWER PLANTS
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24 POWER TRANSMISSION AND DISTRIBUTION
29 ENERGY PLANNING, POLICY, AND ECONOMY
296000 -- Energy Planning & Policy-- Electric Power
DOCUMENT TYPES
MATHEMATICAL MODELS
OPTIMIZATION
PARALLEL PROCESSING
PLANNING
POWER GENERATION
POWER TRANSMISSION
PROGRAMMING
PROGRESS REPORT
RELIABILITY