Intelligent Transition Control Approach for Different Operating Modes of Photovoltaic Inverter

Khan, Mohammed Ali; Haque, Ahteshamul; Kurukuru, Varaha Satya Bharath

doi:10.1109/tia.2021.3135250

Cited by 14 publications

(5 citation statements)

References 30 publications

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“…In the literature [55,58,154,[177][178][179][180][181][182], a unified control structure for automatic transition based on the droop command was proposed for multiple inverters. When the grid was available, the inverters operated in current control mode by injecting energy into the grid.…”

Section: Unified Scheme With Droop Control Methodsmentioning

confidence: 99%

“…Studies such as [58,154,[177][178][179][180][181][182][183] used non-conventional controllers to achieve a smooth transition between the GC and SA. In [58], a unified fuzzy droop trajectory was proposed for scheduling reference trajectories for ensuring seamless transfer operations without reconfiguration of the control structure.…”

Section: Unified Scheme With Droop Control Methodsmentioning

confidence: 99%

“…Instead of detecting the polarity of the voltage or current, the strategy applied a variable reverse voltage across the conducting thyristor by dynamically adjusting the output voltage reference instruction and closed-loop control parameters based on the changing rate. In [178], the authors presented an intelligent transition control system for operating a 4 KW PV application in both the GC and SA modes. The approach was developed using machine learning (ML) algorithms and a hybrid control strategy.…”

Section: Unified Scheme With Droop Control Methodsmentioning

confidence: 99%

See 2 more Smart Citations

A Review on Mode Transition Strategies between Grid-Connected and Standalone Operation of Voltage Source Inverters-Based Microgrids

et al. 2023

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Microgrids technologies are seen as a cost effective and reliable solution to handle numerous challenges, mainly related to climate change and power demand increase. This is mainly due to their potential for integrating available on-site renewable energy sources and their flexibility and scalability. The particularity of microgrids is related to their capacity to operate in synchronization with the main grid or in islanded mode to secure the power supply of nearby end-users after a grid failure thanks to storage solutions and an intelligent control system. The most critical operating case occurs when a sudden transition from grid-connected (GC) to stand-alone operation (SA) happens. During the transition, the system experiences abrupt changes that can result in a malfunction of the control system and a possible failure of the power system. The transition issue attracted considerable attention from researchers. Indeed, many research works are proposed to address this issue by proposing detection and transition techniques that ensure a smooth transition at the islanding time. Although there are several approaches to dealing with this issue, a categorization of the proposed methods in the literature and their differences is useful to assist engineers and researchers working on this topic. Thus, this study proposes a comprehensive review to summarize these approaches and point out their advantages and limitations.

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Section: Unified Scheme With Droop Control Methodsmentioning

confidence: 99%

Section: Unified Scheme With Droop Control Methodsmentioning

confidence: 99%

Section: Unified Scheme With Droop Control Methodsmentioning

confidence: 99%

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A Review on Mode Transition Strategies between Grid-Connected and Standalone Operation of Voltage Source Inverters-Based Microgrids

et al. 2023

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“…The growing solar PV‐based renewable energy generation has decreased the burden on the modern grid system and offers a consistent and reliable power supply to the EVs load [10]. On the other hand, the solar‐powered PV generations introduced an option for the electricity consumers and power utilities to operate in standalone (SA) and/or grid‐connected (GC) operational modes [11]. The EVs load with deregulated power system delivers the complex operational situations for the distribution companies (DISCOs), that is, during EVs load synchronization with the grid [12].…”

Section: Introductionmentioning

confidence: 99%

Intelligent energy management scheme‐based coordinated control for reducing peak load in grid‐connected photovoltaic‐powered electric vehicle charging stations

Amir

Din

Haque

et al. 2023

IET Generation Trans & Dist

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Solar‐based Distributed Generation (DG) powered Electric Vehicles (EVs) charging stations are widely adopted nowadays in the power system networks. In this process, the distribution grid faces various challenges caused by intermittent solar irradiance, peak EVs load, while controlling the state of charge (SoC) of batteries during dis(charging) phenomena. In this paper, an intelligent energy management scheme (IEMS)‐based coordinated control for photovoltaic (PV)‐based EVs charging stations is proposed. The proposed IEMS optimizes the PV generation and grid power utilization for EV charging stations (EVCS) by analysing real‐time meteorological and load demand data. The coordinated control of EMS provides power flow between PV generation, distribution grid, and EVs battery storage in a manner which results in the reduction of peak power demand by a factor of two. Further, the adaptive neuro‐based fuzzy control approach includes forecasting solar‐based electricity generation and EVs loads demand predictions to optimize IEMS according to the Indian power scenario. The proposed IEMS optimally utilizes the buffer batteries system for reducing the peak electricity demand with low system losses and reducing the impact of EVs charging load on distribution grid. The results are analysed using the digital simulation model and validated with real‐time hardware‐in‐loop experimental setup.

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“…Hence to achieve fast response time many intelligent fault detection techniques have been introduced [9]. Many fuzzy-based algorithms have been used for fault identification [10,11]. But their dependence on a particular set of rules can result in false classification.…”

Section: Introductionmentioning

confidence: 99%

Condition Monitoring and Maintenance Management with Grid-Connected Renewable Energy Systems

Alam¹,

Haque²,

Khan³

et al. 2022

Computers, Materials &Amp; Continua

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The shift towards the renewable energy market for carbon-neutral power generation has encouraged different governments to come up with a plan of action. But with the endorsement of renewable energy for harsh environmental conditions like sand dust and snow, monitoring and maintenance are a few of the prime concerns. These problems were addressed widely in the literature, but most of the research has drawbacks due to long detection time, and high misclassification error. Hence to overcome these drawbacks, and to develop an accurate monitoring approach, this paper is motivated toward the understanding of primary failure concerning a grid-connected photovoltaic (PV) system and highlighted along with a brief overview on existing fault detection methodology. Based on the drawback a data-driven machine learning approach has been used for the identification of fault and indicating the maintenance unit regarding the operation and maintenance requirement. Further, the system was tested with a 4 kWp grid-connected PV system, and a decision tree-based algorithm was developed for the identification of a fault. The results identified 94.7% training accuracy and 14000 observations/sec prediction speed for the trained classifier and improved the reliability of fault detection nature of the grid-connected PV operation.

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Intelligent Transition Control Approach for Different Operating Modes of Photovoltaic Inverter

Cited by 14 publications

References 30 publications

A Review on Mode Transition Strategies between Grid-Connected and Standalone Operation of Voltage Source Inverters-Based Microgrids

A Review on Mode Transition Strategies between Grid-Connected and Standalone Operation of Voltage Source Inverters-Based Microgrids

Intelligent energy management scheme‐based coordinated control for reducing peak load in grid‐connected photovoltaic‐powered electric vehicle charging stations

Condition Monitoring and Maintenance Management with Grid-Connected Renewable Energy Systems

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