Improved Intelligent Water Drops Algorithm Applied to Power Economic Emission Dispatch

Authors

Wenqing Zhao, Department of Computer Science, North China Electric Power University, Baoding 071003, China;
Zhibu Qin, Department of Computer Science, North China Electric Power University, Baoding 071003, China;

Abstract

Abstract: Multi-objective optimization for power economic emission dispatch aimed at minimizing the economic costs of power generation and gas emissions. To solve the problems of low search performance and easy to fall into local optimal solution with intelligent water drops algorithm for continuous optimization process, an improved intelligent water drops algorithm based on simulated annealing method was introduced. The improved algorithm had a better advantage in the number of iterations and the search for solutions. The proposed approach verified by Matlab simulation was applied to IEEE-30 bus test system with 6 generating units to solve the multi-objective optimization problem of power economic emission dispatch. Comparing with the other algorithms for this problem, the proposed method was feasible and valid.

Recommended Citation

Zhao, Wenqing and Qin, Zhibu (2019) "Improved Intelligent Water Drops Algorithm Applied to Power Economic Emission Dispatch," Journal of System Simulation: Vol. 30: Iss. 8, Article 48.
DOI: 10.16182/j.issn1004731x.joss.201808048
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss8/48

First Page

3213

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201808048

Last Page

3218

CLC

TM621.4

Recommended Citation

Zhao Wenqing, Qin Zhibu. Improved Intelligent Water Drops Algorithm Applied to Power Economic Emission Dispatch[J]. Journal of System Simulation, 2018, 30(8): 3213-3218.

DOI

10.16182/j.issn1004731x.joss.201808048