Performance Assessment of Novel Solar Thermal-Based Dual Hybrid Microgrid System Using CBOA Optimized Cascaded PI-TID Controller

Bhuyan, Mausri; Das, Dulal Chandra; Barik, Amar Kumar; Sahoo, Subash Chandra

doi:10.1080/03772063.2022.2083026

Cited by 31 publications

(22 citation statements)

References 22 publications

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“…It is made up of an inner loop and a main outer loop. When related to the outer loop, the inner loop responds to system transients more quickly 44,45 . The advantage of a cascaded controller over a single loop feedback control technique is its ability to cope with many instabilities effectively while enhancing the system's control performance.…”

Section: Results Of Simulations and Discussionmentioning

confidence: 99%

“…When related to the outer loop, the inner loop responds to system transients more quickly. 44,45 The advantage of a cascaded controller over a single loop feedback control technique is its ability to cope with many instabilities effectively while enhancing the system's control performance. G P (s), G S (s), P P (s), and P S (s) portrayed in Figure 10 are respectively transfer function of primary controller, secondary controller, the forward path TF of inner and outer loop.…”

Section: Controller Selectionmentioning

confidence: 99%

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Chaotic butterfly optimization algorithm based cascaded PI‐TID controller for frequency control in three area hybrid microgrid system

Bhuyan

Das

Barik

2023

Optim Control Appl Methods

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The work represents a unique methodology for control of frequency in three area independent and interconnected hybrid microgrid systems. The proposed hybrid microgrids consist of solar chimney (SC), combined solar gas turbine (CSGT), bio‐diesel operated generator (BDOG), DC link, energy storage units such as battery energy storage unit (BESU), super‐magnetic energy storage unit (SMESU), and redox flow battery (RFB) based. Integration of generating units such as SC, CSGT, BDOG, SMESU, RFB, and DC link in three area hybrid microgrid is also a unique work. A newly developed chaotic butterfly optimization algorithm (CBOA) is applied so as to obtain the optimized standards of the cascaded PI‐TID controller employed with dispatchable generating units. Comparative analysis of different algorithms and controllers is achieved to establish the dominance of the anticipated control strategy. The impact of each component on the system is examined while taking into account various real‐time scenarios. Finally, the efficacy of cascaded PI‐TID controller tuned using CBOA is established by sensitivity analysis with significant changes in source and load circumstances.

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Section: Results Of Simulations and Discussionmentioning

confidence: 99%

Section: Controller Selectionmentioning

confidence: 99%

Chaotic butterfly optimization algorithm based cascaded PI‐TID controller for frequency control in three area hybrid microgrid system

Bhuyan

Das

Barik

2023

Optim Control Appl Methods

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show abstract

“…The proportional-integral-derivative (PID) was used by the majority of researchers in their research due to its benefits and applications in the industry [9]. As RES penetration increases in the power grid, the PID becomes unsuitable for maintaining power grid frequency stability [10]. As a result, much effort has gone into modifying the PID controller's structure to improve system stability.…”

Section: Control Approachmentioning

confidence: 99%

“…where the maximum and minimum limits of the K gains, α, and 𝛽 in range of [−10, 10]; 𝜇, 𝜆 are in range of [0, 1]; n, N C are in range of [1,10] and [1,500], respectively [29].…”

Section: Proposed Controllermentioning

confidence: 99%

A modified controller scheme for frequency stability enhancement of hybrid two‐area power grid with renewable energy sources

Ahmed

Khamies

Hassan

et al. 2022

IET Renewable Power Gen

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This paper proposes a modified optimal control strategy for enhancing the frequency stability of a power grid. The considered grid includes different generation sources and renewable energy distributed in two interconnected areas. This strategy is based on applying a modified control configuration based on two-degree of freedom for an improved tilt-integral-derivative controller entitled (2DOF − T n I 𝜆 D 𝜇 N) for load frequency control (LFC). This study considers the effect of the automatic voltage regulator (AVR) and its effect on the frequency stability. The modified 2DOF-TI 𝜆 D 𝜇 controller is based on utilizing the merits of the two degree of freedom (2-DOF) structure, and applying the fractional order. Also, an improved gradient-based optimizer (GBO) is proposed to optimally adjust the gains of the developed control technique. For robust design of the proposed control strategy, the system constraints are considered besides the high renewable power penetration. The effectiveness of the proposed 2DOF − T n I 𝜆 D 𝜇 N controller in LFC has been confirmed by comparing its efficiency with other control strategies' efficiency in previous studies such as modified TID (IT n D), and FO-PID (PI 𝜆 D 𝜇 ) controllers. Furthermore, in cases of high renewable penetration, the AVR with LFC is superior to conventional LFC in terms of decreasing the value of fluctuations while maintaining voltage and frequency stability.

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“…is emerging technology has made its way into various applications, including renewable energy generation, electric vehicle (EV), biomedical equipment, and tiny appliances like laptop and mobile phone chargers, LED drives, microgrid systems. [1]. In this regard, DC-DC converters are the simplest basic electronic circuits for converting DC voltage switching activity [2].…”

Section: Introductionmentioning

confidence: 99%

Studying the Applicability of Swarm Intelligence in Designing Optimized PI Controller for DC-DC Zeta Converter: A MATLAB-Based Approach

Shagor

Sami

Nishat

et al. 2022

Mathematical Problems in Engineering

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Studying the stability of power converters and improving the performance is a major concern for researchers in the domain of power electronics. In this context, the DC-DC Zeta converter is studied in this paper and the closed-loop operation is comprehensively investigated by employing swarm intelligence (SI) algorithms with a view to design an optimized proportional-integral (PI) controller. These algorithms have been increasingly used to develop and optimize power converters in recent years. The state-space averaging technique was used to design the converter’s closed-loop transfer function. Hence, the traditional and SI algorithm-based PI controllers are inspected, and comparative analysis is presented. Four objective functions termed as integral absolute error, integral time absolute error, integral square error, integral time squared error, gain values, and different performance parameters such as percentage of overshoot, rise time, settling time, and peak amplitude are tabulated to examine the stability of the system. Furthermore, eigenvalues have been analyzed for determining the stability of the system extensively. Finally, a detailed comparative study is shown to provide a detailed evaluation of the performances where ant colony optimization for continuous domains (ACOR)-based PI controller has shown promising results than other SI-based controllers in terms of percentage of overshoot (2.27%), rise time (1.54 μs), and settling time (0.103 μs). All the simulation results and analysis are obtained using the MATLAB-Simulink.

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Performance Assessment of Novel Solar Thermal-Based Dual Hybrid Microgrid System Using CBOA Optimized Cascaded PI-TID Controller

Cited by 31 publications

References 22 publications

Chaotic butterfly optimization algorithm based cascaded PI‐TID controller for frequency control in three area hybrid microgrid system

Chaotic butterfly optimization algorithm based cascaded PI‐TID controller for frequency control in three area hybrid microgrid system

A modified controller scheme for frequency stability enhancement of hybrid two‐area power grid with renewable energy sources

Studying the Applicability of Swarm Intelligence in Designing Optimized PI Controller for DC-DC Zeta Converter: A MATLAB-Based Approach

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