DocumentCode :
1023671
Title :
Power generation scheduling for multi-area hydro-thermal systems with tie line constraints, cascaded reservoirs and uncertain data
Author :
Wang, C. ; Shahidehpour, S.M.
Author_Institution :
Dept. of Electr. & Comput. Eng.,, Illinois Inst. of Technol., Chicago, IL, USA
Volume :
8
Issue :
3
fYear :
1993
fDate :
8/1/1993 12:00:00 AM
Firstpage :
1333
Lastpage :
1340
Abstract :
The authors propose an approach to the short-term generation scheduling of hydro-thermal power systems (GSHT). The objective of GSHT is to minimize the total operation cost of thermal units over the scheduling time horizon. To solve the problem within a reasonable time, the problem is decomposed into thermal and hydro subproblems. The coordinator between these subproblems is the system Lagrange multiplier. For the thermal subproblem, in a multi-area power pool, it is necessary to coordinate the area generations for reducing the operation cost without violating tie limits. A probabilistic method is employed in considering load forecasting errors and forced outages of generating units to satisfy system reliability requirements. For the hydro subsystem, network flow concepts are adopted to coordinate water use over the entire study time span and the reduced gradient method is used to overcome the linear characteristic of the network flow method to obtain the optimal solution. Three case studies for the proposed method are presented
Keywords :
electric power generation; hydrothermal power systems; load forecasting; power system interconnection; power system reliability; scheduling; Lagrange multiplier; cascaded reservoirs; forced outages; load forecasting errors; multi-area hydro-thermal systems; multi-area power pool; network flow concepts; probabilistic method; reduced gradient method; reliability requirements; short-term power generation scheduling; tie line constraints; uncertain data; Costs; Gradient methods; Hydroelectric-thermal power generation; Lagrangian functions; Load forecasting; Power generation; Power markets; Power systems; Reliability; Water;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.260860
Filename :
260860
Link To Document :
بازگشت