A coordinated control strategy for frequency regulation in hybrid shipboard power system using novel salp swarm algorithm tuned fractional controller

Malik, Shilpam; Suhag, Sathans

doi:10.1080/01430750.2021.1973558

Cited by 7 publications

(6 citation statements)

References 41 publications

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“…The smart grid system concentrated in aqua-electrolysers, fuel-cell, diesel engine generator, wind turbine generator, aqua electrolysers, flywheel energy storage system, battery energy storage system, solar photo-voltaic and so on as demonstrated in Figure 1 [24]- [26].…”

Section: Research Methods 21 Smart Grid System For Investigationmentioning

confidence: 99%

Combined fuzzy PID regulator for frequency regulation of smart grid and conventional power systems

Nayak

Kar

Dash

2021

IJEECS

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In continually increasing area and structure of modern power system having burden demand uncertainties, the use of knowledgeable and vigorous frequency power strategy is essential for the satisfactory functioning of the Power system. A combined fuzzy proportional-integral-derivative (CFPID) controller is suggested for frequency supervision of the power system. To optimize the controller parameters, a review of sine and cosine work adjusted improved whale optimization algorithm (SCiWOA) has been utilized. The next practical application of power-system frequency control is performed by designing a CFPID controller using the proposed SCiWOA technique for a smart grid system having inexhaustible sources like sun oriented, wind, photovoltaic and capacity gadgets like a battery, flywheel just as module electric vehicles. The first advantages of the SCiWOA tuned CFPID controller over hybrid-particle-swarm-optimization and pattern-search (hPSO-PS) adjusted fuzzy proportional-integral (FPI) controller, hybrid bacterial foraging optimization algorithm-particle swarm optimization (hBFOA-PSO) adjusted proportional-integral (PI) controller, genetic algorithm (GA) tuned proportional and integral (PI) controller, BFOA adjusted PI controller, jaya algoritm (JA) tuned PID with derivative filter (PIDN) controller and teaching learning based optimization (TLBO) tuned proportional-integral-derivative (PID) controller are demonstrated for the two-area non-reheat thermal power system. The second advantages of the SCiWOA tuned CFPID controller over artificial-bee-colony (ABC) tuned PID controller, SOSA tuned PID controller and Firefly algorithm (FA) tuned PID controller are demonstrated for two-area reheat thermal power system. It is seen that SCiWOA based CFPID controller is more effective in controlling the recurrence comparative with PID regulator.

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Section: Research Methods 21 Smart Grid System For Investigationmentioning

confidence: 99%

Combined fuzzy PID regulator for frequency regulation of smart grid and conventional power systems

Nayak

Kar

Dash

2021

IJEECS

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“…While several LFC works have been proposed for conventional MG and conventional power grids, there is a dearth of research on how to deal with LFC in marine/shipboard MGs. Different techniques for resolving the frequency control problem in several shipboard MG systems have been developed in recent studies [30][31][32]. In order to reduce frequency deviations brought on by variations in load, Ref.…”

Section: A Background and Literature Reviewmentioning

confidence: 99%

“…In order to reduce frequency deviations brought on by variations in load, Ref. [30] presents a coordinated control approach that utilizes a combined fuzzy FOPI-FOPID (FFOPI-FOPID) whose parameters have been tuned by salp swarm optimizer. Adjustments are made to the regulator parameters of fuzzybased PIDF and FOPID controller by utilizing the grasshopper optimization method and the butterfly optimization algorithm (BOA), respectively, as described in [31,32].…”

Section: A Background and Literature Reviewmentioning

confidence: 99%

Enhancement of a Hybrid Electric Shipboard Microgrid’s Frequency Stability With Triangulation Topology Aggregation Optimizer-Based 3DOF-PID-TI Controller

Ahmed Zeidan,

Hammad,

Ibrahim Megahed

et al. 2024

IEEE Access

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This work addresses the important issue of frequency stability in shipboard microgrids (SMGs), which are confronted with difficulties because of the alternating power insertion from green sources and low system inertia. In order to sustain a consistent frequency (despite system uncertainties), a study and precisely calibrated regulator is necessary. Therefore, this article proposed new combined 3 degree of freedom proportional integral derivative (3DOF-PID) and tilted-integral (TI) regulators for achieving enhanced system performance, robustness, and enhance the frequency performance of a power grid. The superior performance of the suggested 3DOF-PID-TI has been assured by comparing it with three distinct controller architectures (FOPID, PDPID2 and 2DOF-PID) for the multi-energy SMG system. The investigation also took into account the temporal delays brought on by the communication links between the sensor and the regulator. The triangulation topology aggregation optimizer (TTAO), a relatively new meta-heuristic technique that hasn't been employed to load frequency control (LFC) issues until recently, was employed to adjust the controllers' parameters. The TTAO's frequency performance outcomes were thoroughly contrasted to those of other optimization algorithms (i.e., Chimp, Whale, and Gradient-Based Optimization Algorithms) so as to evaluate the optimization efficacy of the suggested optimizer. The findings showed that the proposed 3DOF-PID-TI controller, whose parameters has been tuned by TTAO, outperformed its competitors in terms of overshoot (15.87mHz), undershoot (-29.04mHz), settling time (2.49sec) and performance index (i.e., ITAE(0.0171)). Additionally, the suggested controller's robustness was assessed in a range of SMG operating situations as ex. (Random Multi-Step Variation in Load, Real Data on Stochastic Power Fluctuations, Energy Storage System Impact on the system and sensitivity analysis). The acquired data amply proved that when crucial system parameters experience a substantial variation, the controller's gains set under normal circumstances do not need to be re-tuned.

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Section: Introductionmentioning

confidence: 99%

“…Recent studies [29][30][31] proposed different algorithms for solving the issue of frequency control in different shipboard MG systems. Reference [29] introduces a coordinated control technique that utilizes an SSA-optimized hybrid fuzzy fractional-order PI-fractional-order PID (FFOPI-FOPID) to decrease frequency deviations caused by load changes. The GOA and butterfly optimization algorithm (BOA) are used to tune the controller gains of fuzzybased PID with a filter and fractional-order controller in [30,31], respectively.…”

Section: Introductionmentioning

confidence: 99%

Optimal Load Frequency Control of a Hybrid Electric Shipboard Microgrid Using Jellyfish Search Optimization Algorithm

Karnavas

Nivolianiti

2023

Applied Sciences

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This paper examines the critical topic of load frequency control (LFC) in shipboard microgrids (SMGs), which face challenges due to low system inertia and the intermittent power injection of renewable energy sources. To maintain a constant frequency (even under system uncertainties), a robust and well-tuned controller is required. In this paper, a study was conducted first by examining the performance of three different controller architectures, in order to determine which is the most-appropriate for the multi-energy SMG system. The time delays that occur due to communication links between the sensors and the controller were also considered in the analysis. The controllers were tuned using a very recent bio-inspired optimization algorithm called the jellyfish search optimizer (JSO), which has not been used until recently in LFC problems. To assess the tuning efficiency of the proposed optimization algorithm, the SMG’s frequency response results were comprehensively compared to the results obtained with other bio-inspired optimization algorithms. The results showed that the controllers with gains provided by the JSO outperformed those tuned with other bio-inspired optimization counterparts, with improvements in performance ranging from 19.13% to 93.49%. Furthermore, the robustness of the selected controller was evaluated under various SMG operational scenarios. The obtained results clearly demonstrated that the controller’s gains established in normal conditions do not require retuning when critical system parameters undergo a significant variation.

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A coordinated control strategy for frequency regulation in hybrid shipboard power system using novel salp swarm algorithm tuned fractional controller

Cited by 7 publications

References 41 publications

Combined fuzzy PID regulator for frequency regulation of smart grid and conventional power systems

Combined fuzzy PID regulator for frequency regulation of smart grid and conventional power systems

Enhancement of a Hybrid Electric Shipboard Microgrid’s Frequency Stability With Triangulation Topology Aggregation Optimizer-Based 3DOF-PID-TI Controller

Optimal Load Frequency Control of a Hybrid Electric Shipboard Microgrid Using Jellyfish Search Optimization Algorithm

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