Development of real-time control emulator in FPGA using HiLeS methodology

Mayorga, Jorge Luis; Dominguez-Bonilla, Camilo; Gutiérrez, A.; Jiménez, Fernando R.; Chamorro, Harold R.

doi:10.1109/iecon.2015.7392735

Cited by 2 publications

(1 citation statement)

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“…Fuzzy systems can be embedded in Hardware in the Loop (HIL) platforms in order to emulate real-time systems and understand the performance of the controllers with the respective plants [28]. A succesfull application of fuzzy systems in real systems environments is shown in [29], where the permanent magnet motor response is improved through fuzzy logic, in a micro wind system.…”

Section: Introductionmentioning

confidence: 99%

Synthetic inertia control based on fuzzy adaptive differential evolution

Chamorro

Riano

Gerndt

et al. 2019

International Journal of Electrical Power & Energy Systems

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The 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the controller-system behavior, and (ii) a two-area test power system where one of the synchronous machine has been replaced by a a full aggregated model of a Wind Turbine Generator (WTG), whereby different limits in the tuning process can be analyzed.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.

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Section: Introductionmentioning

confidence: 99%