# Solving Unit Commitment Problem Using Modified Subgradient Method Combined with Simulated Annealing Algorithm

@article{Filik2010SolvingUC, title={Solving Unit Commitment Problem Using Modified Subgradient Method Combined with Simulated Annealing Algorithm}, author={{\"U}mm{\"u}han Başaran Filik and M. Kurban}, journal={Mathematical Problems in Engineering}, year={2010}, volume={2010}, pages={1-15} }

This paper presents the solving unit commitment (UC) problem using Modified Subgradient Method (MSG) method combined with Simulated Annealing (SA) algorithm. UC problem is one of the important power system engineering hard-solving problems. The Lagrangian relaxation (LR) based methods are commonly used to solve the UC problem. The main disadvantage of this group of methods is the difference between the dual and the primal solution which gives some significant problems on the quality of the… Expand

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#### References

SHOWING 1-10 OF 47 REFERENCES

A Comparative Study of Three Different Mathematical Methods for Solving the Unit Commitment Problem

- Mathematics
- 2009

Unit Commitment with Identical Units: Successive Subproblem Solving Method Based on Lagrangian Relaxation

- Mathematics
- IEEE Power Engineering Review
- 2002

Solving the unit commitment problem with a genetic algorithm through a constraint satisfaction technique

- Engineering
- 1996

An evolutionary programming-based tabu search method for solving the unit commitment problem

- Engineering
- IEEE Transactions on Power Systems
- 2004

Unit commitment by enhanced adaptive Lagrangian relaxation

- Mathematics
- IEEE Transactions on Power Systems
- 2004

An Evolutionary Programming Solution to the Unit Commitment Problem

- Computer Science, Engineering
- 1997

Augmented Lagrangian Duality and Nondifferentiable Optimization Methods in Nonconvex Programming

- Mathematics, Computer Science
- J. Glob. Optim.
- 2002