Comparative performance assessment of several Fractional Order - Two Degree Freedom controllers tuned using GOA for LFC

Tripathy, Debasis; Choudhury, Nalin B. Dev; Sahu, Binod Kumar

doi:10.1016/j.procs.2020.03.239

Cited by 9 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Each grasshopper in the community cluster represents a solution. These grasshoppers consume all the available vegetables [35]. The virtual grasshopper (G v ) is initialized by using Equation (10).…”

Section: Proposed Controller Constructionmentioning

confidence: 99%

Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller

Sibtain,

Rafiq,

Bhatti

et al. 2023

IET Renewable Power Gen

View full text Add to dashboard Cite

In today's electrical grid, frequency cannot be ignored. The proliferation of renewable energy sources into a power system degrades its frequency; hence, the need for frequency regulation has been increased as a result. The second major factor is the perturbation in the load that originates the frequency fluctuation which needs to be suppressed in minimum time to avoid any system collapse. The designing of an optimal controller is indispensable because of increasing power system complexity. In order to maintain the stability of the power system, this paper presents the cascaded design of the model predictive controller with fractional order PID controller (MPC‐FOPIDN) to mitigate the frequency oscillations due to disruption in load. The combination of the predictive capabilities of model predictive control (MPC) and fractional order control enhances control abilities, making it an optimal control strategy for load frequency control (LFC). The grasshopper optimization algorithm (GOA) is applied to obtain optimal gains values for the FOPID controller. The efficacy of the controller has effectively mitigated frequency fluctuations caused by a change in demand or any uncertainty in the power system.

show abstract

Section: Proposed Controller Constructionmentioning

confidence: 99%

Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller

Sibtain,

Rafiq,

Bhatti

et al. 2023

IET Renewable Power Gen

View full text Add to dashboard Cite

show abstract

“…PID controller's performance gets compromised in presence of non‐linearity, uneven disturbance or parameter change in a system. To overcome these limitations, higher DOF‐PID, or FO‐PID‐based controllers with more adaptable gains were used [9], which reduces peaks of the response steadily. In case of higher DOF based FO controller, the controller consists of multiple closed loops which allows increased control of the signals.…”

Section: Introductionmentioning

confidence: 99%

“…FO controllers have shown improved frequency response [10] for LFC of single area and two area systems. A comparison of different FO controllers with 2DOF-FOPID for LFC [9] shows that 2DOF-FOPID provides better response compared to 2DOF-FOPI and 2DOF-FOID controllers. A comparative analysis of stability performance of different FO controllers shows the 3DOF-FOPID controller provides better performance [11].…”

Section: Introductionmentioning

confidence: 99%

Mountain gazelle optimisation‐based 3DOF‐FOPID‐virtual inertia controller for frequency control of low inertia microgrid

Santra,

2023

IET Energy Syst Integration

View full text Add to dashboard Cite

The primary objective of the authors is to design a new robust and improved virtual inertia controller (VIC) for renewable energy dominated inverter interfaced low inertia microgrid (LIMG). Increasing penetration of inertia‐less renewable generation in microgrid leads to increased frequency deviation during and after a disturbance. To improve the frequency response of the LIMG, conventional VIC added with different second stage and third stage controllers are proposed in existing works. Higher degree‐of‐freedom (DOF) PID controller synchronised with fractional‐order (FO) operators are used with conventional VIC controllers. These controllers work in addition with conventional VIC and the multi‐stage controllers make the system more complex. To reduce the number of controller stages and, subsequently, reduce cost and complexity of the system, a single stage 3DOF‐FOPID controller is proposed to mitigate the frequency deviation after a disturbance in a LIMG. Performance of the proposed single stage controller is compared with that of the existing controllers to establish the advantages of the proposed controller. The parameters of the proposed 3DOF‐FOPID controller are optimised by Mountain Gazelle Optimsation. The robustness of this controller is also tested for random load fluctuation and renewable power variations in presence of system non‐linearities.

show abstract

Impact of Ultra Capacitor on Automatic Load Frequency Control of Nonlinear Power System

Gorripotu¹,

Azar

Pilla³

et al. 2021

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Comparative performance assessment of several Fractional Order - Two Degree Freedom controllers tuned using GOA for LFC

Cited by 9 publications

References 18 publications

Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller

Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller

Mountain gazelle optimisation‐based 3DOF‐FOPID‐virtual inertia controller for frequency control of low inertia microgrid

Impact of Ultra Capacitor on Automatic Load Frequency Control of Nonlinear Power System

Contact Info

Product

Resources

About