Pool daily fuel scheduling. Volume 3: Program listings. Final report, February 1981. [START; MASTER; THCC; HYDR; PSTO; NFLA; LMTF]

Technical Report · Sun Feb 01 04:00:00 EST 1981

DOI:https://doi.org/10.2172/6542796· OSTI ID:6542796

Pang, C. K.; Mikolinnas, T. A.

The results and efforts of research and development of methods for daily fuel scheduling performed under EPRI Project RP 1048-5 by Power Technologies, Inc. (PTI) are reported in three volumes: Technical Manual; Programming Manual and Program Listing. Daily fuel scheduling involves the scheduling and dispatching of generating facilities to meet all system loads and operating requirements for periods ranging from a day to a week. Daily fuel scheduling and computer requirements are defined. The scheduling problem is formulated as a mixed-integer linear programming (MILP) optimization problem in which the total system operating cost is minimized. A potentially practical scheduling procedure, based on a combination of search and MILP approaches, was proposed; these two approaches were investigated, coded in FORTRAN and tested individually. Tests using the New York Power Pool system show that the search approach may produce potential savings for fuel scheduling approaches. Additional efforts are needed to make the MILP approach practical. Finally, a number of special scheduling problems have been identified and recommended for future work. This volume of the report (Volume 3) gives the FORTRAN listings of the programs, which had been developed during the course of this project. In the programs, there may be certain statements and functions which could be specific to the PRIME computer system. Comments on them are provided.

• Research Organization: Power Technologies, Inc., Schenectady, NY (USA)
• OSTI ID: 6542796
• Report Number(s): EPRI-EL-1659(Vol.3)
• Country of Publication: United States
• Language: English

Related Subjects

13 HYDRO ENERGY
130300 -- Hydro Energy-- Plant Design & Operation
20 FOSSIL-FUELED POWER PLANTS
200100 -- Fossil-Fueled Power Plants-- Power Plants & Power Generation
29 ENERGY PLANNING, POLICY, AND ECONOMY
296001* -- Energy Planning & Policy-- Electric Power Generation-- (-1989)
COMPUTER CODES
COMPUTERIZED SIMULATION
ENERGY CONSUMPTION
ENERGY SYSTEMS
FOSSIL-FUEL POWER PLANTS
FUEL CONSUMPTION
H CODES
HYDROELECTRIC POWER PLANTS
INTERCONNECTED POWER SYSTEMS
L CODES
M CODES
N CODES
OPERATION
OPTIMIZATION
P CODES
PLANNING
POWER GENERATION
POWER PLANTS
POWER SYSTEMS
S CODES
SIMULATION
T CODES
THERMAL POWER PLANTS