An improved tabu search for economic dispatch with multiple minima

This paper develops an improved tabu search algorithm (ITS) for economic dispatch (ED) with noncontinuous and nonsmooth cost functions. ITS employs a flexible memory system to avoid the entrapment in a local minimum and developed the ideal of "distance" to the fitness to accelerate optimiz...

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Bibliographic Details
Published in:IEEE transactions on power systems 2002-02, Vol.17 (1), p.108-112
Main Authors: Lin, Whei-Min, Cheng, Fu-Sheng, Tsay, Ming-Tong
Format: Article
Language:English
Subjects:
Acceleration
Algorithms
Convergence
Cost function
Economics
Entrapment
Fitness
Fuel economy
Genetic programming
Initial conditions
Optimization
Piecewise linear approximation
Piecewise linear techniques
Power generation economics
Power system economics
Power systems
Sociotechnical systems
Tabu search
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Summary:This paper develops an improved tabu search algorithm (ITS) for economic dispatch (ED) with noncontinuous and nonsmooth cost functions. ITS employs a flexible memory system to avoid the entrapment in a local minimum and developed the ideal of "distance" to the fitness to accelerate optimization. The new approach extends simple tabu search algorithm (STS) to real valued optimization problem and applies parallelism to weaken the dependence of the convergence rate of modified tabu search algorithm (NITS) on the initial condition. Effectiveness of the method was compared with many conventional methods. Results show that the proposed algorithm can provide accurate solutions with reasonable performance and has a great potential for other applications in the power system.
ISSN:0885-8950
1558-0679
DOI:10.1109/59.982200