Improved particle swarm optimization for photovoltaic system connected to the grid with low voltage ride through capability

Saad, Naggar H.; El-Sattar, Ahmed A.; Mansour, Abd El-Aziz M.

doi:10.1016/j.renene.2015.06.029

Cited by 68 publications

(26 citation statements)

References 6 publications

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“…N.H. Saad et al [22], propose an improved particle swarm optimization (IPSO) method based on modulation index swarm to increase the LVRT capability of a two-stage PV system as shown in Figure 3, under abnormal condition. The proposed scheme contains a three-phase three level inverter and a DC-DC 1527 converter on the basis of current-source full-bridge power converter with an embedded high-frequency transformer and rectifier.…”

Section: Lvrt Control Strategies For Pv Systemsmentioning

confidence: 99%

Low-voltage ride-through for a three-phase four-leg photovoltaic system using SRFPI control strategy

Kamil¹,

Said²,

Mustafa³

et al. 2019

IJECE

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With the innovative progresses in power electronics in recent years, photovoltaic (PV) systems emerged as one of the promising sources for electricity generation at the distribution network. Nonetheless, connection of PV power plants to the utility grid under abnormal conditions has become a significant issue and novel grid codes should be recommend. The low-voltage ride-through (LVRT) capability is one of the challenges faced by the integration of PV power stations into electrical grid under abnormal conditions. This work firstly provides a discussion on recent control schemes for PV power plants to enhance the LVRT capabilities. Next, a control scheme for a three-phase four-leg grid-connected PV inverter under unbalanced grid fault conditions using synchronous reference frame proportional integral (SRFPI) controller is proposed. Simulation studies are performed to investigate the influence of the control strategy on the PV inverter.

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Section: Lvrt Control Strategies For Pv Systemsmentioning

confidence: 99%

Low-voltage ride-through for a three-phase four-leg photovoltaic system using SRFPI control strategy

Kamil¹,

Said²,

Mustafa³

et al. 2019

IJECE

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“…The PSO algorithm is a population-based stochastic search method that is modeled according to the behaviour of the bird flocks. 57,58 It maintains a swarm of individuals called particles. Here, each particle represents the candidate solution.…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

Optimized sizing of photovoltaic grid‐connected electric vehicle charging system using particle swarm optimization

et al. 2018

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Summary In this paper, the particle swarm optimization (PSO) is used to find optimum size of the photovoltaic (PV) array and energy storage unit (ESU) for PV grid‐connected charging system (in office workplace) for electric vehicles (EV). It is designed in such a way that the EVs are charged at a fixed price (rather than time‐of‐use price) without incurring economic losses to the station owner. The simulation is modeled using the single diode model (for PV) and the state of charge of Li‐ion battery (for ESU and EV). The objective function of the PSO is formulated based on a financial model that comprises of the grid tariff, EV demand, and the purchasing as well as selling prices of the energy from PV and ESU. By integrating the financial model with energy management algorithm (EMA), the PSO computes the minimum number of PV modules (Npv) and ESU batteries (Nbat) for a various number of vehicles and office holidays. The resiliency of the proposed system is validated under different weather conditions, EV fleet, parity levels, energy prices, and operating period. Furthermore, the performance of the proposed system is compared with the standard grid charging system. The results suggest that with the computed Npv and Nbat, the charging price is decreased by approximately 16%, while the EV charging burden on the grid is reduced by 94% to 99%. It is envisaged that this work provides the guidance for the installers to precisely determine the optimum size of the components prior to the physical construction of the charging station.

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“…DC-DC converters commonly been divided into isolated and non-isolated topologies. For isolated DC-DC converters high voltage transformers (HVT) are utilized as presented in [4,[20][21][22][23][24][25][26]. Typically, for such converters high gain voltage boosting can be attained by HVT with high turn's ratio and by using voltage multipliers [16,[27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

“…1 presents only the chief isolated and non-isolated converters. In order to connect energy sources offering lower input voltages with a DC -Bus at higher voltage, galvanically isolated DC-DC converters are one of the most promising options available [4,[20][21][22][23][24][25][26]. For such converters, this isolation protects the source from high voltage variations at the load.…”

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confidence: 99%

Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems

et al. 2019

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In this paper, a comparative analysis has been presented on various topologies of isolated and non-isolated DC-DC converters. Here, the major focus remains on transformer-less (TL) DC-DC converters, based on the conventional basic boost converter. In addition, to attain high voltage gain, a classification of non-isolated converters based on extendable and non-extendable design has been presented. For comparative and theoretical analysis, the parameters chosen are the number of components utilized by each converter topology, high voltage gain offered, voltage stresses on each component involved and the efficiency of the high gain topologies. For the converters under discussion, operation under ideal and non-ideal conditions has also been highlighted. Based on this study, authors present a guide for the reader to identify various high voltage gain topologies for photovoltaic (PV) systems.

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Improved particle swarm optimization for photovoltaic system connected to the grid with low voltage ride through capability

Cited by 68 publications

References 6 publications

Low-voltage ride-through for a three-phase four-leg photovoltaic system using SRFPI control strategy

Low-voltage ride-through for a three-phase four-leg photovoltaic system using SRFPI control strategy

Optimized sizing of photovoltaic grid‐connected electric vehicle charging system using particle swarm optimization

Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems

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