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Synthetic inertia control based on fuzzy adaptive differential evolution
journal contribution
posted on 2018-10-04, 14:14 authored by Harold R. Chamorro, Ivan Riano, Reinhard Gerndt, Ivan Zelinka, Francisco Gonzalez-LongattFrancisco Gonzalez-Longatt, Vijay K. SoodThe transformation of the traditional transmission power systems due to the current rise of non-synchronous generation on it presents new engineering challenges. One of the challenges is the degradation of the inertial response due to the large penetration of high power converters used for the interconnection of renewables energy sources. The addition of a supplementary synthetic inertia control loop can contribute to the improvement of the inertial response. This paper proposes the application of a novel Fuzzy Adaptive Differential Evolution (FADE) algorithm for the tuning of a fuzzy controller for the improvement of the synthetic inertia control in power systems. The method is validated with two test power systems: (i) an aggregated power system and its purpose is to understand the controller-system behavior, and (ii) a two-area test power system where one of the synchronous machine has been replaced by a full aggregated model of a Wind Turbine Generator (WTG), whereby different limits in the tuning process can be analyzed. Results demonstrate the evolution of the membership functions and the inertial response enhancement in the respective test cases. Moreover, the appropriate tuning of the controller shows that it is possible to substantially reduce the instantaneous frequency deviation.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
International Journal of Electrical Power & Energy SystemsVolume
105Pages
803 - 813Citation
CHAMORRO, H.R. ... et al, 2018. Synthetic inertia control based on fuzzy adaptive differential evolution. International Journal of Electrical Power & Energy Systems, 105, pp.803-813.Publisher
© ElsevierVersion
- AM (Accepted Manuscript)
Publisher statement
This paper was accepted for publication in the journal International Journal of Electrical Power & Energy Systems and the definitive published version is available at https://doi.org/10.1016/j.ijepes.2018.09.009.Acceptance date
2018-09-18Publication date
2018ISSN
0142-0615Publisher version
Language
- en