Abstract An improved dual grey wolf optimization (GWO) algorithm with binary and dogmatic parts were proposed. The up and down state of units were optimized by binary grey wolf optimization (bGWO), and the exchange velocity was modified by adding two dynamical factors in random number producing. The GWO was used in units’ load scheduling during the process of deciding up-down states and after the solution. One examples with 10 units including 24 period of time was simulated, the results showed the proposed algorithm improved convergence rate and accuracy of the solution.
An Improved Dual Grey Wolf Optimization Algorithm for Unit Commitment Problem
2017-01-01
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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