An Improved Binary Cuckoo Search Algorithm for Solving Unit Commitment Problems: Methodological Description

Document Type

Article

Publication Date

8-6-2018

Abstract

The unit commitment problem is a large-scale, nonlinear, and mixed-integer optimization problem in an electric power system. Numerous researchers concentrate on minimizing its total generation cost. Cuckoo search is an efficient metaheuristic swarm-based approach that balances between local and global search strategy. Owing to its easy implementation and rapid convergence, it has been successfully used to solve a wide variety of optimization problems. This paper proposes an improved binary cuckoo search algorithm (IBCS) for solving the unit commitment problem. A new binary updating mechanism is introduced to help the IBCS choose a right search direction, and a heuristic search method based on a novel priority list can prevent it from being trapped into local optima. A 4-unit system is used as an example to validate the effectiveness of the proposed method.

Identifier

85051376620 (Scopus)

Publication Title

IEEE Access

External Full Text Location

https://doi.org/10.1109/ACCESS.2018.2861319

e-ISSN

21693536

First Page

43535

Last Page

43545

Volume

6

Grant

2017YFB0306400

Fund Ref

National Natural Science Foundation of China

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