A Case Study of Power Economic Emission Dispatch Using an Integrated Algorithm
Abstract
This paper presents an integrated algorithm of power economic dispatch problem aiming to manage emissions for generating units of power systems. Differential evolution (DE) can efficiently search and actively explore solutions. The multiplier updating (MU) is introduced to avoid deforming the augmented Lagrange function and resulting in difficulty to solution searching. To handle the constrained optimal problem (COP), the ε-constraint technique is employed. The proposed approach integrates the ε-constraint technique, the DE, and the MU. The proposed method (DE-MU) has the merit of automatically adjusting the randomly given penalty to a proper value and requiring only a small-size population. Numerical results indicate that the proposed approach is superior to previous methods in solution quality.
Keywords
Differential evolution, Economic dispatch, Multiplier updating
DOI
10.12783/dteees/icesee2017/7900
10.12783/dteees/icesee2017/7900
Refbacks
- There are currently no refbacks.