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Natural Computing

, Volume 18, Issue 4, pp 695–703 | Cite as

Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method

  • B. Y. Qu
  • J. J. LiangEmail author
  • Y. S. Zhu
  • P. N. Suganthan
Article

Abstract

Clean energy resources such as wind power are playing an important role in power generation recently. In this paper, a modified version of multi-objective differential evolution (MODE) is used to tackle the extended dynamic economic emission dispatch (DEED) problem by incorporating wind power plant into the system. DEED is a nonlinear and highly constrained multi-objective optimization problem and the predicted load is varying with time. Fuel costs and pollution emission are the two objectives to be optimized and the valve point effect, spinning reserve, real power loss as well as the ramping rate are considered. To solve the model effectively, an ensemble of selection method is used in the MODE algorithm. The real-time output adjustment and penalty factor methods are used to deal with the complex constraints. The proposed method is firstly examined on several multi-objective benchmark problems and the DEED problem without considering the wind power to test its effectiveness of solving multi-objective optimization problems. Secondly, the model considering wind power is solved and the results show that the proposed algorithm is effective in handling such problems.

Keywords

Dynamic economic emission dispatch Multi-objective optimization Differential evolution Wind power 

Notes

Acknowledgements

This research is partially supported by National Natural Science Foundation of China (61305080, 61673404, 61473266, 61379113) and Postdoctoral Science Foundation of China (2014M552013) and the Scientific and Technological Project of Henan Province (132102210521, 152102210153). Dr P. N. Suganthan acknowledges support offered by C4T Cambridge Create program.

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Copyright information

© Springer Science+Business Media Dordrecht 2017

Authors and Affiliations

  • B. Y. Qu
    • 1
    • 2
  • J. J. Liang
    • 1
    • 2
    Email author
  • Y. S. Zhu
    • 1
  • P. N. Suganthan
    • 3
  1. 1.School of Electric and Information EngineeringZhongyuan University of TechnologyZhengzhouChina
  2. 2.School of Information EngineeringZhengzhou UniversityZhengzhouChina
  3. 3.School of Electrical and Electronic EngineeringNanyang Technological UniversitySingaporeSingapore

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