Robust Fractional MPPT-Based Moth-Flame Optimization Algorithm for Thermoelectric Generation Applications

Rezk, Hegazy; Zaky, Magdy M.; Alhaider, Mohemmed; Tolba, Mohamed A.

doi:10.3390/en15238836

Cited by 3 publications

(3 citation statements)

References 43 publications

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“…Different optimization techniques, such as ABC and MFO, have been used alongside SQP to test the capabilities and applicability of the given method. The controlling variables for the MFO and ABC algorithms were taken from references [25,[44][45][46][47]. The average hourly profits for Mumbai and Delhi using various optimization strategies are shown in Table 10 and Figure 20.…”

Section: Case 5: System Performance With Wind Farm and Fuel Cell Depl...mentioning

confidence: 99%

System Economy Improvement and Risk Shortening by Fuel Cell-UPFC Placement in a Wind-Combined System

Chakraborty

Dawn

Saha³

et al. 2023

Energies

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It is important to understand the features of an integrated renewable energy power system, especially for deregulated systems. The greatest obstacle to assimilating renewable energy generators with the existing electrical system is their unpredictability. Because wind energy is inconsistent, incorporating it into an established power system necessitates more planning. The effects of wind farm (WF) incorporation with fuel cells and a unified power flow controller (UPFC) on electric losses, voltage profile, generating price, and the economics of the system in a deregulated power market are examined in this paper. An impact analysis of integrating wind farms into controlled and uncontrolled situations is conducted. At two randomly selected locations in India, the real-time statistics of the actual wind speed (AWS) and forecasted wind speed (FWS) were merged for this study. The surplus charge rate and deficit charge rate are intended to evaluate the imbalance cost which is arising from the difference between anticipated and true wind speeds to determine the economics of the system. Customers are always trying to find electricity that is reliable, inexpensive, and efficient due to the reconfiguration of the power system. As a consequence, the security limitations of the system may be surpassed or might function beyond the safety limit, which is undesirable. In the last section, heuristic algorithms, such as sequential quadratic programming (SQP), artificial bee colony algorithms (ABC), and moth-flame optimization algorithms (MFO), are employed to analyze economic risk. In the real-time energy market, it also covers how the fuel cells and UPFC are utilized to rectify the WF integration’s deviation. Economic risk evaluation approaches include value-at-risk (VaR) and conditional value-at-risk (CVaR). A modified IEEE 30-bus test system is used throughout the whole project.

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Section: Case 5: System Performance With Wind Farm and Fuel Cell Depl...mentioning

confidence: 99%

System Economy Improvement and Risk Shortening by Fuel Cell-UPFC Placement in a Wind-Combined System

Chakraborty

Dawn

Saha³

et al. 2023

Energies

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“…Moths employ this method for nocturnal navigation, maintaining a constant angle to the moon; this allows them to travel in a direct trajectory over extended distances [22,23]. However, when the moths find artificial lights, they become trapped in a spiral path; this occurs when the lights are exceptionally close compared to the moon [24,25]. The moths then try to keep a similar angle to the source of light, which leads to a deadly spiral fly path [22,26].…”

Section: Moth-flame Optimization Algorithmmentioning

confidence: 99%

Total Harmonic Distortion Reduction in Multilevel Inverters through the Utilization of the Moth–Flame Optimization Algorithm

Lopez,

López-Núñez,

Pérez-Zúñiga

et al. 2023

Applied Sciences

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This paper shows the implementation of the Moth–Flame Optimization algorithm in a Cascade-H multilevel inverter with five and seven levels to determine the optimal switching sequence of the inverter’s semiconductor devices. The algorithm was coded in Matlab software, and the obtained switching sequences were implemented in a Cascade-H multilevel inverter laboratory prototype, where the output voltage waveform was obtained using a digital oscilloscope. The experimental Total Harmonic Distortion was obtained using a power quality analyzer. The experimental results show the improvement of the Total Harmonic Distortion in the voltage output. These results were compared with other papers in the literature with different metaheuristic methods concerning the same modulation. These findings demonstrate the feasibility of employing the Moth–Flame Optimization Algorithm to significantly reduce the Total Harmonic Distortion, obtaining a lower value than most analyzed papers.

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“…The purpose of the controller is the optimization of the energy extraction process, a popular approach concerning the utilization of a Maximum Power Point Tracking (MPPT). Notably, a number of studies have explored the use of fractional-order controllers within the MPPT, with noteworthy contributions from works such as those presented in [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Observer-Based Control for a Class of Fractional- Order Non-Linear Systems with Non-Linear Control Inputs

Montesinos-García,

Barahona-Avalos,

Linares-Flores

et al. 2023

Fractal Fract

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This paper presents a novel control strategy based on an uncertainty estimator for a class of fractional-order nonlinear systems characterized by a polynomial input. The proposed strategy allows the system to be controlled without resorting to transformations or approximate linearization. This is accomplished by using a fractional-order sliding-mode observer, whose task is to estimate certain portions of the state of the nonlinear system of a non-integer order, thus allowing the control law to counteract these elements to steer the system towards a desired behavior. To validate the performance of the proposed strategy, it was implemented, both in simulation and experimentally, to regulate the temperature of the cold side of a thermoelectric module fed by a DC/DC electronic power converter of the step-down type, a system that is known to have a nonlinear polynomial-type control input.

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Robust Fractional MPPT-Based Moth-Flame Optimization Algorithm for Thermoelectric Generation Applications

Cited by 3 publications

References 43 publications

System Economy Improvement and Risk Shortening by Fuel Cell-UPFC Placement in a Wind-Combined System

System Economy Improvement and Risk Shortening by Fuel Cell-UPFC Placement in a Wind-Combined System

Total Harmonic Distortion Reduction in Multilevel Inverters through the Utilization of the Moth–Flame Optimization Algorithm

Uncertainty Observer-Based Control for a Class of Fractional- Order Non-Linear Systems with Non-Linear Control Inputs

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