A Comprehensive Study of Harmonic Pollution in Large Penetrated Grid-Connected Wind Farm

Bhadane, Kishor V.; Ballal, Makarand Sudhakar; Nayyar, Anand; Patil, Dipak V.; Jaware, Tushar H.; Shukla, Hiramani

doi:10.1007/s12647-020-00407-z

Cited by 8 publications

(3 citation statements)

References 16 publications

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“…Other scenarios such as LLG fault and switching a large capacitor are added to the mentioned harmonic sources. It is notable that wind turbines alone can be the cause of generating flicker and harmonic [34,40]. Combined PQDs were introduced in classes 11 to 15.…”

Section: Simulation and Results Analysismentioning

confidence: 99%

Identification of Combined Power Quality Disturbances in the Presence of Distributed Generations using Variational Mode Decomposition and K-nearest Neighbors Classifier

2022

IJE

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Identification of combined power quality disturbances in the modern power systems by considering the development of different types of loads and distribution generations has become increasingly important. The novelty of this paper comes from the accurate and fast identification of the combined power quality disturbances in the presence of different distributed generations and loads such as photovoltaic cell, wind turbine with doubly fed induction generators, diesel engines, electric arc furnace, DC machine, 6-pulse and 12-pulse rectifier loads. In this paper, the features are extracted using variational mode decomposition, just from voltage waveforms. To reduce the redundant data, dimension of features vector, and time, the Relief-F method and correlation feature selection method are applied on the extracted features and these two methods are compared together. In this paper, the K-nearest neighbors classifier is used to classify the multiple power quality disturbances. To verify the effectiveness of the proposed method, different scenarios such as misfiring, variation of sun radiation and wind speed, entrance and exit of loads, capacitors and distributed generators, different fault at the grid in half-load to full-load were simulated. This method can be used as an added algorithm for smart metering in modern and smart power systems.

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Section: Simulation and Results Analysismentioning

confidence: 99%

Identification of Combined Power Quality Disturbances in the Presence of Distributed Generations using Variational Mode Decomposition and K-nearest Neighbors Classifier

2022

IJE

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“…e modernization of the power system accelerates the utilization of EVs in terms of V to G technology. In an innovative grid environment, EVs become a possible solution to balance the power fluctuations due to the intermittent nature of RES [115][116][117][118][119].…”

Section: Autonomous Electric Vehicle (Aev) Driving Subsystemmentioning

confidence: 99%

Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities

Bathla

Bhadane²,

Singh

et al. 2022

Mobile Information Systems

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Intelligent Automation (IA) in automobiles combines robotic process automation and artificial intelligence, allowing digital transformation in autonomous vehicles. IA can completely replace humans with automation with better safety and intelligent movement of vehicles. This work surveys those recent methodologies and their comparative analysis, which use artificial intelligence, machine learning, and IoT in autonomous vehicles. With the shift from manual to automation, there is a need to understand risk mitigation technologies. Thus, this work surveys the safety standards and challenges associated with autonomous vehicles in context of object detection, cybersecurity, and V2X privacy. Additionally, the conceptual autonomous technology risks and benefits are listed to study the consideration of artificial intelligence as an essential factor in handling futuristic vehicles. Researchers and organizations are innovating efficient tools and frameworks for autonomous vehicles. In this survey, in-depth analysis of design techniques of intelligent tools and frameworks for AI and IoT-based autonomous vehicles was conducted. Furthermore, autonomous electric vehicle functionality is also covered with its applications. The real-life applications of autonomous truck, bus, car, shuttle, helicopter, rover, and underground vehicles in various countries and organizations are elaborated. Furthermore, the applications of autonomous vehicles in the supply chain management and manufacturing industry are included in this survey. The advancements in autonomous vehicles technology using machine learning, deep learning, reinforcement learning, statistical techniques, and IoT are presented with comparative analysis. The important future directions are offered in order to indicate areas of potential study that may be carried out in order to enhance autonomous cars in the future.

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“…Electric spring is one of the advance reactive power compensator in electrical power distribution network having presence of the intermittent renewable energy sources. Topologies of ES are classified, on the basis of: type of energy storage devices used, type of supply (single phase/three phase), type of power converter used, type of converter topologies (VSI/CSI/ZSI) used and utilization of distributed generation [25].…”

Section: Electric Spring Topologiesmentioning

confidence: 99%

A brief review on hardware structure of AC electric spring

Rokde¹,

Thosar²

2022

IJAPE

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<span lang="EN-US">Decarbonizing power generation and reducing greenhouse gas emissions require renewable energy sources. Intermittent nature of renewable energy sources can cause blackouts, fluctuation in voltage, grid-connected inverter usage, inability to predict power generation, fluctuations in voltage and frequency. It is possible to balance between the supply and demand of power to overcome these problems by using an electric spring (ES). It is necessary to study its work, types, and controlling actions for realizing the benefits of the electric spring. This paper reviews the hardware structure of an ES based on voltage-source inverter (VSI) and current-source inverter (CSI) topologies, in single-phase and three-phase AC power distribution systems with renewable energy sources. The structure, control strategies, operating modes, advantages and disadvantages of each ES topology are elaborated to make it a suitable alternative for resolving different power quality issues caused due to the high penetration of renewable energy sources.</span>

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A Comprehensive Study of Harmonic Pollution in Large Penetrated Grid-Connected Wind Farm

Cited by 8 publications

References 16 publications

Identification of Combined Power Quality Disturbances in the Presence of Distributed Generations using Variational Mode Decomposition and K-nearest Neighbors Classifier

Identification of Combined Power Quality Disturbances in the Presence of Distributed Generations using Variational Mode Decomposition and K-nearest Neighbors Classifier

Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities

A brief review on hardware structure of AC electric spring

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