1. NAME AND TITLE
PELINOMIC-3A: Power Plant Cost Optimization for Dispersed Load Centers.
2. CONTRIBUTOR
South
African Energy Board, Pretoria, South Africa through the OECD Nuclear Energy
Agency Data Bank, Issy-les-Moulineaux, France.
3. CODING LANGUAGE AND COMPUTER
Fortran IV; IBM 370 Series (P00596I037000).
4. NATURE OF PROBLEM SOLVED
PELINOMIC-3A provides long-term economic optimization for extension of electricity supply system. Devised especially for South African conditions, i.e. well separated load centers. Use of point models is avoided. Present-worth discounting technique is applied.
5. METHOD OF SOLUTION
Each installation of new generating plant is selected for site, size and type as to minimize total discounted system generating costs. Each iteration does this against a partly optimized background, using typically a 25-year look-ahead period. Linear programming is not used.
6. RESTRICTIONS OR LIMITATIONS
Transmission of power allowed only from one area into four others. No provision made for regional load dispatch, i.e. same load duration curve used for all supply areas.
7. TYPICAL RUNNING TIME
20 minutes on IBM 370/155. Strong dependence on number of station types allowed for comparison. 150 minutes running time possible.
8. COMPUTER HARDWARE REQUIREMENTS
IBM 370 (244k bytes with overlays, 332k bytes without overlay.).
9. COMPUTER SOFTWARE REQUIREMENTS
IBM 360 Operating System.
10. REFERENCES
a) Included Documentation:
C.E. Iliffe, “'Computer Program Discount,” TRG Report 198(R) UKAEA (1962).
11. CONTENTS OF CODE PACKAGE
The package is distributed on a CD with a compressed zip file including source files, JCL, sample problem data, output, and documentation.
12. DATE OF ABSTRACT
December 2013.
KEYWORDS: COST, ECONOMICS, OPTIMIZATION, PLANNING, POWER PLANTS