Reactive power and harmonic compensation in a grid-connected photovoltaic system using fuzzy logic controller

Behera, Maheswar Prasad; Ray, Pravat Kumar

doi:10.1515/ijeeps-2020-0204

Cited by 7 publications

(2 citation statements)

References 26 publications

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“…Since the management strategy requires the previous knowledge of the system, the proposed management algorithm is based on fuzzy logic, as it requires previous knowledge of the process. Therefore, in this paper, the fuzzy management algorithm (FMA) is done in four steps [ 31 , 32 , 33 , 34 ]: the knowledge base, the fuzzification, the inference diagram, and the defuzzification, which are described now in detail.…”

Section: Methodsmentioning

confidence: 99%

Energy Management Strategy for an Autonomous Hybrid Power Plant Destined to Supply Controllable Loads

Yahyaoui

Peña

2022

Sensors

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This paper proposes an energy management strategy (EMS) for a hybrid stand-alone plant destined to supply controllable loads. The plant is composed of photovoltaic panels (PV), a wind turbine, a diesel generator, and a battery bank. The set of the power sources supplies controllable electrical loads. The proposed EMS aims to ensure the power supply of the loads by providing the required electrical power. Moreover, the EMS ensures the maximum use of the power generated by the renewable sources and therefore minimizes the use of the genset, and it ensures that the batteries bank operates into the prefixed values of state of charge to ensure their safe operation. The EMS provides the switching control of the switches that link the plant components and decides on the loads’ operation. The simulation of the system using measured climatic data of Mostoles (Madrid, Spain) shows that the proposed EMS fulfills the designed objectives.

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Section: Methodsmentioning

confidence: 99%

Energy Management Strategy for an Autonomous Hybrid Power Plant Destined to Supply Controllable Loads

Yahyaoui

Peña

2022

Sensors

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“…Tere are many controllers proposed for HSAPF in the literature, but they are limited to certain difculties. Traditional controllers have some difculties compensating for long-term system issues [21][22][23]. To achieve system performance improvements, neural networks and fuzzy logic are combined as a controller.…”

Section: Introductionmentioning

confidence: 99%

A Grid-Connected Solar PV/Wind Turbine Based Hybrid Energy System Using ANFIS Controller for Hybrid Series Active Power Filter to Improve the Power Quality

Cholamuthu

Baranilingesan

Paramasivam³

et al. 2022

International Transactions on Electrical Energy Systems

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The current needs of more nonlinear loads and the frequent usage of single-phase loads in three-phase system drastically create power quality issues in the grid-connected system. As a consequence, it creates an undesirable power quality issue (PQI) in the form of a change in the nature of voltage and current magnitude and waveforms in the power system. The voltage-related PQI leads to a huge disturbance in the system when compared with the current-related PQI. The hybrid series active power filter provides grids with the required voltage in series and suppresses the voltage-related harmonics caused by grid-connected nonlinear loads. The present work deals with an adaptive neurofuzzy inference system controller for the generation of a reference voltage signal that uses a reduced active filter rating. The simulation study was done in the MATLAB 2020b/Simulink environment and the experimental effectiveness of the proposed ANFIS controller was compared with that of a conventional controller. In the grid-connected system, this system prevents voltage quality problems such as voltage sag, flickering, voltage swell, neutral currents, and reactive power. The renewable energy sources interfaced into the DC-link minimize short and long voltage challenges so that they improve the overall performance of the system. In accordance with IEEE standard 519-1992, a prototype model was proved to demonstrate that the power delivery system works effectively under different conditions and reduces the total harmonic distortion by approximately 30%, which is less than the 5% acceptable limit.

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Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator

2023

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Aiming at large system operation fluctuations caused by the technical control of virtual synchronous generators, this article studies the introduction of interface converter control power, builds a virtual synchronous generator (VSG)‐based hybrid microgrid model and adaptive control strategy. Finally it optimizes it with fuzzy logic to obtain an fuzzy logic controller (FLC) based adaptive VSG control strategy. The experimental results show that under the FLC‐based adaptive VSG control strategy, in the reverse current mode, the system regression time is 0.37 s, and the DC bus voltage is 6.5 V; In the rectification mode, the system regression time is 0.49 s, and the DC bus voltage is 2.1 V. The results obtained are faster than the traditional VSG control strategy, and the DC bus voltage is 42.48%–68.66% lower. In summary, the suggested control approach is effective and reliable under the two operation modes, which can make the system operate safely and stably.

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Reactive power and harmonic compensation in a grid-connected photovoltaic system using fuzzy logic controller

Cited by 7 publications

References 26 publications

Energy Management Strategy for an Autonomous Hybrid Power Plant Destined to Supply Controllable Loads

Energy Management Strategy for an Autonomous Hybrid Power Plant Destined to Supply Controllable Loads

A Grid-Connected Solar PV/Wind Turbine Based Hybrid Energy System Using ANFIS Controller for Hybrid Series Active Power Filter to Improve the Power Quality

Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator

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