Multilevel DC-link converter photovoltaic system with modified PSO based on maximum power point tracking

Mao, Mingxuan; Zhang, Li; Duan, Qichang; Chong, Benjamin

doi:10.1016/j.solener.2017.05.017

Cited by 23 publications

(8 citation statements)

References 52 publications

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“…The algorithm flow-chart of the MPPT is shown in Figure 16. The variable DC step size is defined as (26) and is determined using the relationship of the incremental and instantaneous resistance of the PV arrays. The update period of the MPPT algorithm is set to 2 s and the maximum step size for changing the voltage references is 5 V. In this work, the DC voltage references are independently obtained from an advanced incremental conductance MPPT algorithm [40].…”

Section: Resultsmentioning

confidence: 99%

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Optimized Modeling and Control Strategy of the Single-Phase Photovoltaic Grid-Connected Cascaded H-bridge Multilevel Inverter

Lee

Kim

2018

Electronics

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This paper presents the modeling and control-loop design method with an inverted decoupling scheme of a single-phase photovoltaic grid-connected five-level cascaded H-bridge multilevel inverter. For the unity power factor, the proportional and integral current controller with a duty ratio feed-forward compensation is used. In addition, in order to achieve the maximum power point tracking of each photovoltaic array, when the stacked modules are in the partial shading condition, each direct current (DC) voltage is stably controlled to their maximum power points (MPP) by dedicated voltage controllers of each H-bridge module. This paper also presents a control method that minimizes the effect of the loop-interaction in the design of an individual DC-link voltage control loop in a two-input two-output system. The proposed control methods of the cascaded H-bridge multilevel inverter are validated through the simulation and experimental results of the 2-kW prototype hardware.

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Section: Resultsmentioning

confidence: 99%

“…When the illumination level is decreased because of non-uniform irradiation, the whole PV system has multiple maximum power points. In this situation, the maximum power point tracking (MPPT) algorithm is apt to fall into the local MPPs and the output power is considerably decreased [26][27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Optimized Modeling and Control Strategy of the Single-Phase Photovoltaic Grid-Connected Cascaded H-bridge Multilevel Inverter

Lee

Kim

2018

Electronics

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“…Under partial shading conditions, the conventional methods like fuzzy, P&O, INC algorithms cannot extract global MPP (GMPP) [28]. Many works of literature have been implemented MLI with DC link with MPPT, where the control of outputs can be done by the load [29] or under steady solar irradiance [30]. MPPT consistently changes the energy of the solar panel to operate at the maximum point of the power, which depends on temperature, load, and solar irradiance.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Multilevel Inverters for Electric Vehicles

et al. 2021

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“…Solving these problems requires the use of the GMPPT technique such as the metaheuristic algorithms. In fact, the PSO [11][12][13], Genetic algorithm [14,15], Cucko search [16,17] and Ant colony optimization [18], are the most used algorithms because they can solve the multi objective problems. This paper focuses on the improvement of the tracking performances of the most used method that is the PSO algorithm.…”

Section: Introductionmentioning

confidence: 99%

PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

Ahmed¹,

Cherkaoui²,

Mokhlis³

2020

IJIES

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The effect of partial shading has a strong influence on the production of photovoltaic solar systems. In fact, when this phenomenon occurs, several power peaks appear on the power-voltage curve (P, V). These peaks are divided between the local maxima and a global maximum. This latter presents the superior maximum compared to the local maxima. Therefore, in this case, the conventional MPPT methods such as Incremental Conductance (INC) and Perturb and Observe (P&O) do not have the ability to detect and track the highest peak. Thus, this causes the important loss of power. To overcome this issue, this study focusses on the design of a new method able to distinguish the global maximum power point (GMPP). This method is composed of two loops of control, the particle swarm optimization (PSO) and the sliding mode controller (SMC). The first loop, which consists of PSO, sweeps the power-voltage curve by looking for the GMPP, after that generates the reference of corresponding optimal voltage. While the second loop is designed to track the voltage reference by acting on the duty cycle of the SEPIC converter. This method is characterized by its robustness against the parameters' changes and the modeling error thanks to the SMC controller designed. In addition, the PSO used improves efficiency of the PV modules subjected to the non-uniform meteorological conditions. The simulation results show the rapidity and accuracy of the proposed method for localizing and tracking the global power maximum. In fact, according to the results, the proposed controller has a convergence time about 63ms depending on the shading pattern. Moreover, it is able to detect the meteorological conditions change. To prove the advantages of the proposed technique, this one is compared with the hybrid controllers those composed of P&O and INC combined with BSC and SMC controllers.

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Multilevel DC-link converter photovoltaic system with modified PSO based on maximum power point tracking

Cited by 23 publications

References 52 publications

Optimized Modeling and Control Strategy of the Single-Phase Photovoltaic Grid-Connected Cascaded H-bridge Multilevel Inverter

Optimized Modeling and Control Strategy of the Single-Phase Photovoltaic Grid-Connected Cascaded H-bridge Multilevel Inverter

Design and Implementation of Multilevel Inverters for Electric Vehicles

PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

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