Sine augmented scaled arithmetic optimization algorithm for frequency regulation of a virtual inertia control based microgrid

Khadanga, Rajendra Kumar; Das, Deepa; Kumar, Amit; Panda, Sukanta

doi:10.1016/j.isatra.2023.02.025

Cited by 28 publications

(7 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Adaptive Rat Swarm Optimizer (ARSO) has been developed to find the optimal coordination of PSS and SVC [31]. In [32], Sine Augmented Scaled Arithmetic Optimization (SCA-AOA) has been used to find the optimal design of VI in regulating the frequency of a microgrid. In [33], the Flower Pollination Algorithm (FPA) has been combined with Fractional Order PID (FOPID) to solve frequency stabilization cases in a microgrid.…”

Section: Index Termsmentioning

confidence: 99%

“…These variables need to be controlled optimally. Thus, Equation (30) and Equation ( 31) can be written as Equation (32) and Equation (33).…”

Section: A Problem Formulationmentioning

confidence: 99%

“…The Benson Scalarization Technique is used to combine Equation (32) and Equation ( 33). This technique does not need any parameter from the user, such as objective weight and reference point like in the other scalarization techniques [58], [59].…”

Section: B Innovative Objective Function Based On Benson Scalarizatio...mentioning

confidence: 99%

“…By constituting Equation (32) and Equation (33) into Equation (35), it can be obtained the proposed objective function as shown in Equation (36).…”

Section: B Innovative Objective Function Based On Benson Scalarizatio...mentioning

confidence: 99%

See 3 more Smart Citations

A New Scheme of Harris Hawk Optimizer With Memory Saving Strategy (HHO-MSS) for Controlling Parameters of Power System Stabilizer and Virtual Inertia in Renewable Microgrid Power System

Almas Prakasa,

Robandi,

Nishimura

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Section: Index Termsmentioning

confidence: 99%

“…These variables need to be controlled optimally. Thus, Equation (30) and Equation ( 31) can be written as Equation (32) and Equation (33).…”

Section: A Problem Formulationmentioning

confidence: 99%

Section: B Innovative Objective Function Based On Benson Scalarizatio...mentioning

confidence: 99%

“…By constituting Equation (32) and Equation (33) into Equation (35), it can be obtained the proposed objective function as shown in Equation (36).…”

Section: B Innovative Objective Function Based On Benson Scalarizatio...mentioning

confidence: 99%

See 2 more Smart Citations

A New Scheme of Harris Hawk Optimizer With Memory Saving Strategy (HHO-MSS) for Controlling Parameters of Power System Stabilizer and Virtual Inertia in Renewable Microgrid Power System

Almas Prakasa,

Robandi,

Nishimura

et al. 2024

IEEE Access

View full text Add to dashboard Cite

“…This work investigates the effect of the combination of two diverse and widely used storage devices, EV batteries and superconducting magnetic energy storage on the dynamic responses of the islanded MG. In [37], a new optimized scaled sinusoidal arithmetic optimization algorithm has been reported to adjust the control parameters of a multi‐stage PID controller. The controller has been applied to the VIC section with a phase lock loop (PLL) to obtain information about the frequency changes of the microgrid.…”

Section: Introductionmentioning

confidence: 99%

Robust self‐adaptive fuzzy controller for load‐frequency control of islanded airport microgrids considering electric aircraft energy storage and demand response

Shayeghi,

Davoudkhani,

Bizon

2024

IET Renewable Power Gen

View full text Add to dashboard Cite

The rise of the renewable energy sources (RES) in microgrids has increased the impact of damping and low inertia on network stability. This gives rise to several issues in the power systems, including power fluctuations from variable RES, degradation of the frequency regulation, voltage surges, and oversupply from grid‐connected distributed generators. This paper presents a cascaded hybrid load‐frequency controller for an airport microgrid that addresses frequency fluctuations caused by load changes. It is combining a self‐adaptive fuzzy controller (SAF) and a classical two‐degree‐of‐freedom proportional integral derivative (PID) controller (2DOFPID) called CSAF‐2DOFPID. It is applied to the control section of a diesel generator, an electric aircraft energy storage system, and a demand response program. The controller parameters are optimized using a suggested hybrid differential artificial hummingbird algorithm (D‐AHA) to minimize frequency deviation. The proposed control framework is simulated on an airport microgrid comprising various components, and the impact of time delay on the controller's signals, system uncertainty is also examined. The simulation results demonstrate that the proposed self‐adaptive cascaded fuzzy controller outperforms other controllers such as PID, CF‐PID, and CF‐2DOFPID in reducing frequency fluctuations, and the D‐AHA algorithm achieves favourable results compared to other algorithms in the optimal tuning controller parameters.

show abstract

Hybrid sand cat‐galactic swarm optimization‐based adaptive maximum power point tracking and blade pitch controller for wind energy conversion system

Ebraheem,

Jyothsna

2024

Adaptive Control & Signal

View full text Add to dashboard Cite

SummaryAs wind energy is sustainable, pollution‐free, easily available, and free of cost, it has become an efficient source of renewable energy for electricity generation. But, the problem with wind energy is that it varies with time, seasons, and location. This makes the Wind Energy Conversion System (WECS) unstable as it frequently needs to match the load demands. The balance in power generation by wind energy is essential since it has to be connected to various grids. So, this unbalanced energy production can affect the stability of the associated power grids as well. It also results in expensive regulatory measures, storage options, and load shedding. So, the stable operation of the WECS is highly essential to adapt it as a trustable source of electricity production. The stable operation of the WECS requires a robust and advanced system for control. Better control of the wind power extracting model is achieved by controlling the Maximum Power Point Tracking (MPPT) and blade pitch. So, an Adaptive MPPT and Blade Pitch Controller (BPC) for the WECS have been developed in this article, with the support of a hybrid optimization algorithm. In order to enhance the working principles of this controller, two effective algorithms such as Sand Cat Swarm Optimization (SCSO) and Galactic Swarm Optimization (GSO) are integrated and named Hybrid Sand Cat Galactic Swarm Optimization (HSC‐GSO). With the help of the recommended HSC‐GSO, the functionality of the controller is enhanced and also at the same time this algorithm helps to optimize the three gains in the Proportional Integral Differential (PID) controller of both MPPT and BPC, respectively. Moreover, with the support of the proposed HSC‐GSO the damping oscillations in the WECS output power and voltage are minimized. In the end, the numerical analysis is conducted for the presented system by comparing it with the traditional techniques. From the overall result analysis, the stability of the recommended adaptive WECS is 97, which is higher than the conventional algorithms such as DHOA, SCSO, GSO, and DA. Thus, it has been proved that the proposed HSC‐GSO algorithm for the parameters optimization in the PID controller of MPPT and the PID controller of BPC attains high robustness, increased steady‐state stability, and efficient transient response than the traditional techniques.

show abstract

Sine augmented scaled arithmetic optimization algorithm for frequency regulation of a virtual inertia control based microgrid

Cited by 28 publications

References 25 publications

A New Scheme of Harris Hawk Optimizer With Memory Saving Strategy (HHO-MSS) for Controlling Parameters of Power System Stabilizer and Virtual Inertia in Renewable Microgrid Power System

A New Scheme of Harris Hawk Optimizer With Memory Saving Strategy (HHO-MSS) for Controlling Parameters of Power System Stabilizer and Virtual Inertia in Renewable Microgrid Power System

Robust self‐adaptive fuzzy controller for load‐frequency control of islanded airport microgrids considering electric aircraft energy storage and demand response

Hybrid sand cat‐galactic swarm optimization‐based adaptive maximum power point tracking and blade pitch controller for wind energy conversion system

Contact Info

Product

Resources

About