A Proposal for an MPPT Algorithm Based on the Fluctuations of the PV Output Power, Output Voltage, and Control Duty Cycle for Improving the Performance of PV Systems in Microgrid

Tan, Nguyen Van; Nam, Nguyen Binh; Hieu, Nguyen Huu; Hung, Le Kim; Duong, Minh Quan; Lam, Le Hong

doi:10.3390/en13174326

Cited by 10 publications

(5 citation statements)

References 36 publications

(64 reference statements)

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“…According to [24], a proposed method for calculating the capacity and power that an electric vehicle (EV) station should provide to the grid is shown in (16). The station's storage capacity for vehicles may vary depending on the station space, but only EVs with state of charge (SoC) levels between 20% and 80% are eligible for supporting the grid.…”

Section: Energy Storage In Evsmentioning

confidence: 99%

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A virtual synchronous generator control method in microgrid with vehicle-to-grid system

Nguyen,

Truong

et al. 2023

Journal of Electrical Engineering

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The inertia in power systems plays a very important role in stabilizing the power system. With the growth of distributed generation (DG)/renewable energy source (RES) penetration in the power grid, there has been a concern about the lack of inertia in the power system. One of the solutions to solve the problem is to use the Virtual Synchronous Generator (VSG) control method. For energy storage, the Vehicle-to-grid (V2G) storage system can replace the traditional hybrid energy storage which consists of batteries and supercapacitors. This application will be implemented in Microgrid. The article will focus on simulating the Microgrid with the V2G system and solar energy as a renewable energy source, the inverters are controlled by the method of VSG control. The models will be simulated and the results will be shown on MATLAB/SIMULINK software.

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Section: Energy Storage In Evsmentioning

confidence: 99%

“…On the DC side, there are PV solar systems, electric vehicles, and supercapacitors (SC). The DC/DC converter at the DG side is a boost converter controlled by pulse signals from the MPPT algorithm [16]. P&O is chosen as an MPPT algorithm for this research because of its simplicity and can be applied to all PV systems [17].…”

Section: Introductionmentioning

confidence: 99%

A virtual synchronous generator control method in microgrid with vehicle-to-grid system

Nguyen,

Truong

et al. 2023

Journal of Electrical Engineering

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“…However, photovoltaic power generation is subject to a decrease in efficiency due to external environmental factors, thus leading to the emergence of Maximum Power Point Tracking (MPPT) control technology [2] . Despite the proposal of various MPPT control algorithms, some studies combine different algorithms to improve global search capabilities and have verified the effectiveness of these combined algorithms through simulation, further enhancing tracking efficiency [3] , there is still room for improvement in terms of tracking accuracy and speed. Therefore, we propose an MPPT control method based on the IJAYA algorithm.…”

Section: Introdutionmentioning

confidence: 99%

Photovoltaic MPPT control based on IJAYA algorithm

Guo,

Li,

Zhang

et al. 2024

International Conference on Optoelectronic Information and Functional Materials (OIFM 2024)

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This paper introduces an MPPT control methodology utilizing the IJAVA algorithm. This approach merges the traditional JAVA algorithm with a Levy flight strategy, enabling the algorithm to evade local optima and conduct a comprehensive global search for the optimal solution., so that the algorithm can ensure the convergence speed and give attention to the convergence accuracy, further accelerate the tracking speed by optimizing the initialization position of the population, and reduce the voltage and power oscillation in the tracking process by adding out-of-bounds processing mechanism. Based on the modeling and simulation outcomes, the MPPT control utilizing the IJAVA algorithm demonstrates the capability to effectively and precisely trace the optimum power point in the presence of partial shading, as evidenced by the results.

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“…New techniques are being developed to support the continuous optimization of grid-connected and off-grid hybrid PV systems. The amplification of the duty cycle is used to control the system voltage and current [19]. All MPPT techniques work towards setting up an optimal duty cycle for the boost converter so that the voltage generated by the PV array can be boosted to the required level; this is to achieve the maximum power output, maintain a fast, steady output with controlled harmonics, and maintain efficient grid connectivity, even during dynamic environmental changes.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Artificial Ecosystem Optimizer and Incremental-Conductance Maximum-Power-Point-Tracking-Controlled Grid-Connected Photovoltaic System

Abdullah,

Lata,

Jaiswal

et al. 2023

Energies

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When tracking the peak power point in PV systems, incremental conductance is the most common technique used. This approach preserves the first trap in the local peak power point, but it is unable to quickly keep up with the ever-changing peak power point under varying irradiance and temperature conditions. In this paper, the authors propose a hybrid algorithm, combining an artificial ecosystem optimizer and an incremental-conductance-based MPPT to solve these issues of traditional MPPT under varying irradiance and temperature conditions. The proposed hybrid algorithm has been applied to three scenarios, namely the constant irradiance condition, the varying irradiance condition, and the varying temperature condition. Under the constant irradiance condition, the PV array is maintained at a temperature of 25 °C and an irradiance of 1000 W/m2. The voltage of the DC link of the neutral-pointed-clamped inverter is maintained at 1000 V. Under the varying irradiance condition, the irradiance of the PV array is increased from 400 W/m2 to 1000 W/m2with a step size of 0.2 s. The same step size is maintained while decreasing the irradiance level from 1000 W/m2 to 400 W/m2, with a step change of 0.2 s. However, the temperature is maintained at 25 °C. Under the varying temperature condition, the temperature of the PV array varies from 35 °C, 25 °C, 15 °C, 10 °C, 15 °C, 25 °C, and 35 °C with a step size of 0.2 s, and the irradiance is maintained at 1000 W/m2. The DC link voltage in all three conditions is maintained at 1000 V, which confirms that the hybrid algorithm has been able to vary the duty cycle of the pulse wave modulation generator in such a manner that the variable DC voltage produced by the PV array has been changed by the flyback converter into a stable DC voltage. The simulation results show that the total harmonic distortion (THD) under all the simulated scenarios is within 5%, which agrees with IEEE standards. In the future, this algorithm may be compared with other types of available MPPTs under partial shading.

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A Proposal for an MPPT Algorithm Based on the Fluctuations of the PV Output Power, Output Voltage, and Control Duty Cycle for Improving the Performance of PV Systems in Microgrid

Cited by 10 publications

References 36 publications

A virtual synchronous generator control method in microgrid with vehicle-to-grid system

A virtual synchronous generator control method in microgrid with vehicle-to-grid system

Photovoltaic MPPT control based on IJAYA algorithm

A Hybrid Artificial Ecosystem Optimizer and Incremental-Conductance Maximum-Power-Point-Tracking-Controlled Grid-Connected Photovoltaic System

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