Disturbance observer aided optimised fractional‐order three‐degree‐of‐freedom tilt‐integral‐derivative controller for load frequency control of power systems
Abstract This work demonstrates a maiden application of a fractional‐order based three‐degree‐of‐freedom tilt‐integral‐derivative controller for escalating the load frequency control performance of power system having wind power generator integrated. The disturbance observer is housed with the propo...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-02-01
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Series: | IET Generation, Transmission & Distribution |
Online Access: | https://doi.org/10.1049/gtd2.12054 |
Summary: | Abstract This work demonstrates a maiden application of a fractional‐order based three‐degree‐of‐freedom tilt‐integral‐derivative controller for escalating the load frequency control performance of power system having wind power generator integrated. The disturbance observer is housed with the proposed fractional‐order‐three‐degree‐of‐freedom‐tilt‐integral‐derivative controller to efficiently estimate the wind velocity's uncertain profile and subsequently enrich the control law. The mastery of the proposed control algorithm has been tested on multi‐area interconnected power systems by performing an extensive comparative study with other prevalent techniques reported in the state‐of‐art. Harris' Hawks optimisation is applied to explore the proposed controllers' optimum gains, exercising an integral error‐based criterion. Time response measurements of the studied test systems in the wake of load fluctuation and intermittent output of wind power generator explicitly establish the efficacy of the proposed Harris' Hawks optimisation tuned disturbance observer‐based fractional‐order‐three‐degree‐of‐freedom‐tilt‐integral‐derivative controller over its other counterparts concerning damping of system oscillations. Furthermore, the developed control system's robust stability is affirmed using Kharitonov's stability theorem, considering ±25% variation in system parameters. |
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ISSN: | 1751-8687 1751-8695 |