Optimal fractional-order PI with DC-DC converter and PV system

Mohamed, Ahmed T.; Mahmoud, Mahmoud F.; Swief, R.A.; Said, Lobna A.; Radwan, Ahmed G.

doi:10.1016/j.asej.2021.01.005

Cited by 29 publications

(8 citation statements)

References 49 publications

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“…is the state of a switch, & inverse logic of u. The value of the capacitor (C) and inductor (L) are calculated as follows is shown in equation (7) and equation (8).…”

Section: Dc-dc Boost Converter Designmentioning

confidence: 99%

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Optimal control for a photovoltaic integrated grid system using PSO and modified whale optimization to enhance power quality

Tiwari

Agarwal

2023

Eng. Res. Express

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The paper proposes a modified & optimized controller for PV-integrated grid-connected PV systems. As the solar power output depends on the environmental conditions, i.e., irradiation and atmospheric temperature, the maximum power from the photovoltaic (PV) module is extracted using perturb and observe (P & O) algorithm. With a variety of controllers, such as conventional proportional and integral (PI) controllers, particle swarm optimization (PSO), and the modified Whale optimization algorithm (MWOA) method based on optimum control, the power as compared to extracted from PV panels using MWOA-based controllers. A complete simulation and implementation of a single-phase grid-connected inverter are shown to verify the proposed PV controller. The power flow control and grid synchronization are also presented when the above controllers act as MPPT controllers in the proposed system. The performance of proposed system is evaluated and compared among conventional and optimal controllers under a MATLAB-Simulink environment.

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“…is the state of a switch, & inverse logic of u. The value of the capacitor (C) and inductor (L) are calculated as follows is shown in equation (7) and equation (8).…”

Section: Dc-dc Boost Converter Designmentioning

confidence: 99%

“…Optimization methods include particle swarm optimization (PSO), the whale optimization algorithm (WOA), Jaya, etc. Recently, WOA is the latest optimization technique, and it shows good results in several applications [8,9]. Grid-connected photovoltaic systems are widely used because of the reliability and abundance of solar radiation.…”

Section: Introductionmentioning

confidence: 99%

Optimal control for a photovoltaic integrated grid system using PSO and modified whale optimization to enhance power quality

Tiwari

Agarwal

2023

Eng. Res. Express

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“…The transfer function of the FOPID controller is as follows [20]: Manta Ray Foraging Optimization (MRFO) is a new metaheuristic algorithm that simulates the foraging behaviors of marine creatures called manta rays. Manta rays have three foraging strategies which are chain foraging, cyclone foraging and somersault foraging [34]. These foraging strategies are unique in nature which inspire this optimization technique.…”

Section: A Fopid Controllermentioning

confidence: 99%

Power Level Control of Nuclear Power Plants During Load Following Operation Using Fractional Order Controller Based on a Modified Algorithm

Boghdady,

Mahmoud,

Zahab

et al. 2023

IEEE Access

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Nuclear power can play an important role to achieve a secure clean energy transition. Output power control is considered an important issue with respect to nuclear power plants (NPPs) especially during load following operation mode. In this study, a scheduled fractional order proportional integral derivative (FOPID) controller is designed in order to track the desired reference power for a nuclear reactor in a NPP. Also, a modified manta ray foraging optimization (MMRFO) algorithm is proposed to tune the five parameters of the FOPID controller. The performance of the proposed algorithm is compared with several optimization techniques using 23 benchmark functions. The comparison shows that MMRFO has the best performance. The simulation of the FOPID controller tuned by the proposed MMRFO algorithm is performed using MATLAB/Simulink and its performance is compared with classic PID controller tuned by the MMRFO algorithm. Two different dynamic simulations during load following operation of a nuclear reactor are carried out. The first case study covers the short time operation of a nuclear reactor and the second case covers the long time operation. The simulation results show an acceptable performance with high degree of accuracy for the proposed FOPID controller tuned by the modified algorithm with very low overshoot, very low steady state error and proper control signal. Also, the stability of the proposed controller is also tested using Lyapunov stability criterion which indicates the stable operation for the proposed controller in the two cases. In addition, a sensitivity analysis has been accomplished which indicates the robustness of the controller.

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“…For example, in [57], an interconnected power system was controlled using an FOPID controller for load frequency control. Additionally, the photovoltaic system's performance is improved by a FOPI controller, which controls the DC-DC boost converter [58]. To keep the DC-Bus voltage at its reference value in a stand-alone (wind/battery) hybrid system, the DC-DC boost converter for the battery is controlled by the FOPID controller [57].…”

Section: ) Fuzzy Logic Control Energy Management Unitmentioning

confidence: 99%

Power Management Optimization of HES Connected to the Grid-Based IEMS

BOUTHIBA,

MEGHNI,

TALEB

et al. 2023

IJETAE

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This paper presents a study of a grid-connected hybrid energy system (HES) consisting of photovoltaic/wind/fuel cell/battery/supercapacitor (SC). The purpose of using SC with the battery is to create a hybrid energy storage system (HESS) with high energy density. To prevent overcharging of the latter, a discharge load was employed (in our case, a resistance). The objectives of this research are to operate the photovoltaic generator and the wind power generator at their maximum power points by applying the perturbation and observation (P&O) technique and the tip speed ratio (TSR) technique, respectively. On the other hand, the energy management of the proposed system aims to achieve an energy balance between the grid and the HES despite climate changes and changes in energy demand to which the system is exposed, and to lengthen the life cycle of the HESS by keeping the state of charge (SOC) within a limited range. This management is accomplished by using a classical energy management strategy. To achieve optimal power management of the proposed system, a new intelligent energy management strategy (IEMS) based on the FLC-FOPI is proposed. A comparative analysis was also conducted between the classical strategy and the proposed strategy. As for the grid-side converter, direct power control based on SOSMC technique (DPC-SOSMC) has been proposed to regulate the flow of active and reactive power according to grid demand based on HRES. To demonstrate the effectiveness of the proposed controllers, simulation results evaluating the proposed system under variable conditions are presented using the Matlab-Simulink platform.

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Optimal fractional-order PI with DC-DC converter and PV system

Cited by 29 publications

References 49 publications

Optimal control for a photovoltaic integrated grid system using PSO and modified whale optimization to enhance power quality

Optimal control for a photovoltaic integrated grid system using PSO and modified whale optimization to enhance power quality

Power Level Control of Nuclear Power Plants During Load Following Operation Using Fractional Order Controller Based on a Modified Algorithm

Power Management Optimization of HES Connected to the Grid-Based IEMS

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