DocumentCode :
1536462
Title :
A multiobjective operations planning model with unit commitment and transmission constraints
Author :
Chattopadhyay, D. ; Momoh, James
Author_Institution :
Dept. of Electr. Eng., Howard Univ., Washington, DC, USA
Volume :
14
Issue :
3
fYear :
1999
fDate :
8/1/1999 12:00:00 AM
Firstpage :
1078
Lastpage :
1084
Abstract :
This paper presents a modeling framework for operations planning for generation and transmission for a period of a year or few months that incorporates (in an approximate way) the dynamic constraints on generator output and the static transmission constraints. The model is capable of performing the following tasks: generation scheduling, interutility transmission scheduling, maintenance scheduling, fuel allocation to thermal/nuclear plants, reactive power planning, DSM and nonutility generation purchase planning. The model checks the operating feasibility of the long term planning decisions by unit commitment and OPF modules in an interactive way. There is a feedback mechanism to modify the long term generation and transmission schedule to reflect the operational feasibility of the long term planning exercise. The model makes use of compromise programming to perform multiobjective analysis. A case study for a 120-bus test system (four area IEEE 30-bus systems) is carried out to illustrate the application of the proposed modeling framework
Keywords :
approximation theory; power generation dispatch; power generation planning; power generation scheduling; power system analysis computing; power transmission planning; DSM; OPF modules; compromise programming; computer simulation; feedback mechanism; fuel allocation; generation scheduling; interutility transmission scheduling; long term planning decisions; maintenance scheduling; multiobjective power system operations planning model; nonutility generation purchase planning; reactive power planning; transmission constraints; unit commitment; Control system synthesis; Feedback; Fuels; Performance analysis; Power generation; Power system modeling; Power system planning; Reactive power; Scanning probe microscopy; Strategic planning;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.780928
Filename :
780928
Link To Document :
بازگشت