DocumentCode
1689390
Title
A constraint logic programming algorithm for solving thermal unit commitment problem
Author
Yang, Hong-Tzer ; Huang, Kun-Yuan ; Huang, Ching-Lien
Author_Institution
Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan
Volume
1
fYear
1995
Firstpage
255
Abstract
This paper presents a constraint logic programming (CLP) algorithm to solve the thermal unit commitment (UC) problem. The CLP algorithm provides an efficient and flexible solution method for the UC problem. Constraints satisfaction techniques are used to prune the search space a priori. The solutions that can not appear as a feasible one are removed from further evaluation. These techniques propagate the constraints as much as possible, and assume the values of some variables of the unit on/off schedule until the infeasible solutions are excluded. After pruning the infeasible solutions, branch and bound approach is then employed to find the minimum operation cost from the feasible domains. The algorithm has been implemented to solve the practical Taiwan power 38-unit thermal system UC problem. Results are compared to those of the Lagrangian relaxation (LR) method to demonstrate the feasibility and effectiveness of the proposed approach to solving the thermal UC problem
Keywords
PROLOG; constraint handling; load dispatching; logic programming; power system analysis computing; scheduling; thermal power stations; Lagrangian relaxation; Prolog; Taiwan power; branch and bound approach; constraint logic programming algorithm; constraints satisfaction techniques; minimum operation cost; scheduling; thermal unit commitment; Costs; Decision feedback equalizers; Demand forecasting; Lagrangian functions; Large-scale systems; Load forecasting; Logic programming; Spinning; Testing; Thermal engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Management and Power Delivery, 1995. Proceedings of EMPD '95., 1995 International Conference on
Print_ISBN
0-7803-2981-3
Type
conf
DOI
10.1109/EMPD.1995.500735
Filename
500735
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